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Cartography and Geographic Information Science Volume 42, 2015 - Issue 3
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Book Review

Recent literature in cartography and geographic information science

Michael P. Finn
&
Diana Thunen
Pages 286-304 | Published online: 24 Mar 2015

Atlases

  • Barale, V., M. Assouline, J. Dusart, and J. Gaffuri. 2015. “The European Atlas of the Seas: Relating Natural and Socio-Economic Elements of Coastal and Marine Environments in the European Union.” Marine Geodesy 38 (1): 79–88. doi:10.1080/01490419.2014.909373.
  • Cros, A., N. A. Fatan, A. White, S. J. Teoh, S. Tan, C. Handayani, and C. Huang, et al. 2014. “The Coral Triangle Atlas: An Integrated Online Spatial Database System for Improving Coral Reef Management.” PloS One 9 (6): e96332. doi:10.1371/journal.pone.0096332.
  • Schweikart, J., C. Franke, and S. Henke. 2014. “Atlas of Health Infrastructure for the Mbeya Region in Tanzania – Regional Atlases as Information Source Using Geoinformation Systems.” Journal of Maps 10 (4): 620–629. doi:10.1080/17445647.2014.908749.
  • Sweetkind-Singer, J. 2014. “Atlas of the Historical Geography of the United States.” Journal of American History 101 (2): 678–679. doi:10.1093/jahist/jau402.

Cartographers

  • Rajakovic, M., and I. Kljajic. 2013. “Hungarian and Croatian Cartographers | MaKarski I Hrvatski Kartografi.” Kartografija I Geoinformacije 12 (19): 44–75.

Cartography

  • Kitchin, R., J. Gleeson, and M. Dodge. 2013. “Unfolding Mapping Practices: A New Epistemology for Cartography.” Transactions of the Institute of British Geographers 38 (3): 480–496. doi:10.1111/j.1475-5661.2012.00540.x.
  • Retchless, D. P. 2014. “Sea Level Rise Maps: How Individual Differences Complicate the Cartographic Communication of an Uncertain Climate Change Hazard.” Cartographic Perspectives 77: 17–32. doi:10.14714/CP77.1235.

Education (cartography & GIScience)

  • Brock, C. 2013. “The Geography of Education and Comparative Education.” Comparative Education 49 (3): 275–289. doi:10.1080/03050068.2013.803818.
  • Canto, T. S. 2014. “Cartography and Art: New Lines to Think and Talk about Maps, Education and Geography in the Present | Cartografia E Arte: Novas Linhas Para Pensar E Falar de Mapas, Educação E Geografia Na Atualidade.” RA’E GA - O Espaco Geografico Em Analise 30: 131–145. doi:10.5380/raega.v30i0.36088.
  • Chalmers, L., and K. Berg. 2014. “Changes, Challenges and Responsibilities in Geographical Education: The International Geography Olympiad.” Geographia Polonica 87 (2): 267–276. doi:10.7163/GPol.2014.17.
  • Cox, H., K. Kelly, and L. Yetter. 2014. “Using Remote Sensing and Geospatial Technology for Climate Change Education.” Journal of Geoscience Education 62 (4): 609–620. doi:10.5408/13-040.1.
  • Harvey, F. 2014. “Values, Choices, Responsibilities: Thinking Beyond the Scholarly Place of Ethics for the GIScience and Technology Profession and GIScience.” Journal of Geography in Higher Education 38 (4): 500–510. doi:10.1080/03098265.2014.956299.
  • Hong, J. E., and F. Stonier. 2014. “GIS In-Service Teacher Training Based on TPACK.” Journal of Geography,Sep. 1–10. doi:10.1080/00221341.2014.947381.
  • Scholz, M. A., N. T. Huynh, C. P. Brysch, and R. W. Scholz. 2014. “An Evaluation of University World Geography Textbook Questions for Components of Spatial Thinking.” Journal of Geography 113 (5): 208–219. doi:10.1080/00221341.2013.872692.

Generalization

  • Izrael, Y. A., V. V. Snakin, V. N. Vasilenko, E. M. Artemov, E. V. Imshennik, A. I. Nakhutin, and V. R. Khrisanov. 2014. “Cartographic Generalization of Radioecological Conditions in the South Urals.” Russian Meteorology and Hydrology 39 (7): 433–439. doi:10.3103/S1068373914070012.
  • Liu, G., Y. Li, Z. Li, and J. Guo. 2014. “Cartographic Generalization of Urban Street Networks Based on Gravitational Field Theory.” International Journal of Modern Physics B 28 (20): 1450133. doi:10.1142/S0217979214501331.
  • Pombo, R. M., and L. S. Delazari. 2014. “Automação Dos Operadores De Agregação E Deslocamento Para Generalização Cartográfica Na Representação De Redes Sociais.” Boletim De Ciências Geodésicas 20 (3): 669–682. doi:10.1590/S1982-21702014000300038.
  • Zou, G., J. Li, and K. Wu. 2014. “A Method of Linear Feature Generalization Based on Multiscale Map Sources.” Journal of Geomatics 39 (4): 62–64+69.

Geoweb

  • Abdelfattah, M. A., and A. T. Kumar. 2014. “A Web-Based GIS Enabled Soil Information System for the United Arab Emirates and Its Applicability in Agricultural Land Use Planning.” Arabian Journal of Geosciences, Feb. 1–15. doi:10.1007/s12517-014-1289-y.
  • Bogliolo, M. P., and G. Contino. 2014. “A Geospatial Time-Aware Web Interface to Deliver Information About Air Pollution and Exposure in a Big City and its Surroundings.” In ISPRS Technical Commission II Symposium, 6, Vol. XL-2. Toronto: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. doi:10.5194/isprsarchives-XL-2-145-2014.
  • Bone, C., A. Ager, K. Bunzel, and L. Tierney. 2014. “A Geospatial Search Engine for Discovering Multi-Format Geospatial Data Across the Web.” International Journal of Digital Earth, Oct., 1–16. doi:10.1080/17538947.2014.966164.
  • De Feoa, G., F. Cerrato, P. Siano, and V. Torretta. 2014. “Definition of a Multi-Criteria, Web-Based Approach to Managing the Illegal Dumping of Solid Waste in Italian Villages.” Environmental Technology 35 (1): 104–114. doi:10.1080/09593330.2013.816328.
  • Fago, P., C. Pignatelli, A. Piscitelli, M. Milella, M. Venerito, P. Sansò, and G. Mastronuzzi. 2014. “WebGIS for Italian Tsunami: A Useful Tool for Coastal Planners.” Marine Geology 355 (Sep.): 369–376. doi:10.1016/j.margeo.2014.06.012.
  • Freyman, W. A., and K. A. Glennemeier. 2014. “Restoration Map: A Web-Based Tool for Spatial and Participatory Adaptive Management of Ecological Restoration Projects.” Ecological Restoration 32 (1): 3–15. doi:10.3368/er.32.1.3.
  • Hoover, J. H., P. C. Sutton, S. J. Anderson, and A. C. Keller. 2014. “Designing and Evaluating a Groundwater Quality Internet GIS.” Applied Geography 53 (Sep.): 55–65. doi:10.1016/j.apgeog.2014.06.005.
  • Keng, D., and S. G. M. Koo. 2014. “Comparing European and American Spatial Standards for Internet of Things.” In 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 983–987. IEEE. doi:10.1109/SMC.2014.6974040.
  • Knörchen, A., G. Ketzler, and C. Schneider. 2015. “Implementation of a Near-Real Time Cross-Border Web-Mapping Platform on Airborne Particulate Matter (PM) Concentration with Open-Source Software.” Computers & Geosciences 74 (Jan.): 13–26. doi:10.1016/j.cageo.2014.10.003.
  • Kulkarni, A. T., J. Mohanty, T. I. Eldho, E. P. Rao, and B. K. Mohan. 2014. “A Web GIS Based Integrated Flood Assessment Modeling Tool for Coastal Urban Watersheds.” Computers & Geosciences 64 (Mar.): 7–14. doi:10.1016/j.cageo.2013.11.002.
  • Lingel, J., and B. W. Bishop. 2014. “The GeoWeb and Everyday Life: An Analysis of Spatial Tactics and Volunteered Geographic Information.” First Monday 19 (7). doi:10.5210/fm.v19i7.5316.
  • Maina, M. M., M. S. M. Amin, and M. A. Yazid. 2014. “Web Geographic Information System Decision Support System for Irrigation Water Management: A Review.” Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 64 (4): 283–293. doi:10.1080/09064710.2014.896935.
  • Mair, M., C. Mikovits, M. Sengthaler, M. Schöpf, H. Kinzel, C. Urich, M. Kleidorfer, R. Sitzenfrei, and W. Rauch. 2014. “The Application of a Web-Geographic Information System for Improving Urban Water Cycle Modelling.” Water Science and Technology : A Journal of the International Association on Water Pollution Research 70 (11): 1838–1846. doi:10.2166/wst.2014.327.
  • Mekonnen, A. D., and P. V. Gorsevski. 2015. “A Web-Based Participatory GIS (PGIS) for Offshore Wind Farm Suitability within Lake Erie, Ohio.” Renewable and Sustainable Energy Reviews 41 (Jan.): 162–177. doi:10.1016/j.rser.2014.08.030.
  • Samet, H., J. Sankaranarayanan, M. D. Lieberman, M. D. Adelfio, B. C. Fruin, J. M. Lotkowski, D. Panozzo, J. Sperling, and B. E. Teitler. 2014. “Reading News with Maps by Exploiting Spatial Synonyms.” Communications of the ACM 57 (10): 64–77. doi:10.1145/2629572.
  • Supak, S. K., H. A. Devine, G. L. Brothers, S. R. Rich, and W. Shen. 2014. “An Open Source Web-Mapping System for Tourism Planning and Marketing.” Journal of Travel & Tourism Marketing 31 (7): 835–853. doi:10.1080/10548408.2014.890153.
  • Suzuki, S., H. Hayashi, and M. Hosokawa. 2014. “Development of Urban Resilience GeoPortal Online for the Better Understanding of Disaster Scenarios.” Journal of Disaster Research 9 (2): 128–138.
  • Tsorlini, A., I. Iosifescu, C. Iosifescu, and L. Hurni. 2014. “A Methodological Framework for Analyzing Digitally Historical Maps Using Data from Different Sources through an Online Interactive Platform.” E-Perimetron 9 (4): 153–165.
  • Urbieta, M., A. Oliveira, J. Araújo, A. Rodrigues, A. Moreira, S. Gordillo, and G. Rossi. 2014. “Web-GIS Models: Accomplishing Modularity with Aspects.” Innovations in Systems and Software Engineering 10 (1): 59–75. doi:10.1007/s11334-013-0206-y.
  • Vitolo, C., Y. Elkhatib, D. Reusser, C. J. A. Macleod, and W. Buytaert. 2015. “Web Technologies for Environmental Big Data.” Environmental Modelling & Software 63 (Jan.): 185–198. doi:10.1016/j.envsoft.2014.10.007.
  • Wang, P., and L. Y. Dong. 2014. “Web GIS Research and Application Based on SVG.” Applied Mechanics and Materials 513-517 (Feb.): 2004–2007. doi:10.4028/www.scientific.net/AMM.513-517.2004.
  • Wilson, M. W. 2014. “Continuous Connectivity, Handheld Computers, and Mobile Spatial Knowledge.” Environment and Planning D: Society and Space 32 (3): 535–555. doi:10.1068/d14112.
  • Xu, H., and Y. Bai. 2014. “GCDViewer: An Online Data Query, Visualization and Analysis System for Global Climatic Data.” In 2014 the third International Conference on Agro-Geoinformatics, 1–4. IEEE. doi:10.1109/Agro-Geoinformatics.2014.6910601.
  • Xu, W. J., Z. D. Song, Y. D. Huang, Z. L. Xu, Y. Y. Li, X. Y. Li, X. J. Chen, and Y. S. Zhan. 2014. “Crowd Evacuation Simulation Based on WebGIS.” Applied Mechanics and Materials 519-520 (Feb.): 1507–1510. doi:10.4028/www.scientific.net/AMM.519-520.1507.
  • Young, J. C., and M. P. Gilmore. 2014. “Subaltern Empowerment in the Geoweb: Tensions between Publicity and Privacy.” Antipode 46 (2): 574–591. doi:10.1111/anti.12056.
  • Zavala-Romero, O., A. Ahmed, E. P. Chassignet, J. Zavala-Hidalgo, A. F. Eguiarte, and A. Meyer-Baese. 2014. “An Open Source Java Web Application to Build Self-Contained Web GIS Sites.” Environmental Modelling and Software 62 (Dec.): 210–220. doi:10.1016/j.envsoft.2014.08.029.
  • Zhang, Y., and Y. Weng. 2014. “A Data Sharing Model of Minority Multidisciplinary Data Based on WebGIS.” Applied Mechanics and Materials 513-517 (Feb.): 2224–2227. doi:10.4028/www.scientific.net/AMM.513-517.2224.

Geographic information

  • Baloch, M. A., and L. Sahar. 2014. “Development of a Watershed-Based Geospatial Groundwater Specific Vulnerability Assessment Tool.” Ground Water 52 S1: 137–147. doi:10.1111/gwat.12212.
  • Blankespoor, B., S. Dasgupta, and B. Laplante. 2014. “Sea-Level Rise and Coastal Wetlands.” Ambio 43 (8): 996–1005. doi:10.1007/s13280-014-0500-4.
  • Boryan, C. G., Z. Yang, and P. Willis. 2014. “US Geospatial Crop Frequency Data Layers.” In 2014 The Third International Conference on Agro-Geoinformatics, 1–5. IEEE. doi:10.1109/Agro-Geoinformatics.2014.6910657.
  • Chuvieco, E., I. Aguado, S. Jurdao, M. L. Pettinari, M. Yebra, J. Salas, and S. Hantson, et al. 2014. “Integrating Geospatial Information into Fire Risk Assessment.” International Journal of Wildland Fire 23 (5): 606–619. doi:10.1071/WF12052.
  • Feng, W., W. Gang, P. Deji, L. Yuan, Y. Liuzhong, and W. Hongbo. 2015. “A Parallel Algorithm for Viewshed Analysis in Three-Dimensional Digital Earth.” Computers & Geosciences 75 (Feb.): 57–65. doi:10.1016/j.cageo.2014.10.012.
  • Feng, -C.-C., Y.-C. Wang, and C.-Y. Chen. 2014. “Combining Geo-SOM and Hierarchical Clustering to Explore Geospatial Data.” Transactions in GIS 18 (1): 125–146. doi:10.1111/tgis.12025.
  • Isenor, A. W., Y. Allard, A.-L. S. Lapinski, H. Demers, and D. Radulescu. 2014. “Coordinating UAV Information for Executing National Security-Oriented Collaboration.” In SPIE Unmanned/Unattended Sensors and Sensor Networks X, edited by E. M. Carapezza, P. G. Datskos, and C. Tsamis, 92480L. doi:10.1117/12.2067066.
  • Kauhl, B., E. Pilot, R. Rao, O. Gruebner, J. Schweikart, and T. Krafft. 2014. “Estimating the Spatial Distribution of Acute Undifferentiated Fever (AUF) and Associated Risk Factors Using Emergency Call Data in India. A Symptom-Based Approach for Public Health Surveillance.” Health & Place 31C (Dec.): 111–119. doi:10.1016/j.healthplace.2014.11.002.
  • Kucuker, M. A., M. Guney, H. V. Oral, N. K. Copty, and T. T. Onay. 2015. “Impact of Deforestation on Soil Carbon Stock and Its Spatial Distribution in the Western Black Sea Region of Turkey.” Journal of Environmental Management 147 (Jan.): 227–235. doi:10.1016/j.jenvman.2014.08.017.
  • Lee, J.-W., H.-J. Noh, Y. Lee, Y.-S. Kwon, C.-H. Kim, and J.-C. Yoo. 2014. “Spatial Patterns, Ecological Niches, and Interspecific Competition of Avian Brood Parasites: Inferring from a Case Study of Korea.” Ecology and Evolution 4 (18): 3689–3702. doi:10.1002/ece3.1209.
  • Li, J., and Z. X. Zhou. 2015. “Coupled Analysis on Landscape Pattern and Hydrological Processes in Yanhe Watershed of China.” The Science of the Total Environment 505 (Feb.): 927–938. doi:10.1016/j.scitotenv.2014.10.068.
  • Liang, L., T. J. Hawbaker, Y. Chen, Z. Zhu, and P. Gong. 2014. “Characterizing Recent and Projecting Future Potential Patterns of Mountain Pine Beetle Outbreaks in the Southern Rocky Mountains.” Applied Geography 55 (Dec.): 165–175. doi:10.1016/j.apgeog.2014.09.012.
  • Liang, J., J. Liu, X. Yuan, G. Zeng, X. Lai, X. Li, H. Wu, Y. Yuan, and F. Li. 2015. “Spatial and Temporal Variation of Heavy Metal Risk and Source in Sediments of Dongting Lake Wetland, Mid-South China.” Journal of Environmental Science and Health. Part A, Toxic/hazardous Substances & Environmental Engineering 50 (1): 100–108. doi:10.1080/10934529.2015.964636.
  • Lin, Y., and F. B. Zhan. 2014. “Geographic Variations of Racial/ethnic Disparities in Cervical Cancer Mortality in Texas.” Southern Medical Journal 107 (5): 281–288. doi:10.1097/SMJ.0000000000000100.
  • Mashintonio, A. F., S. L. Pimm, G. M. Harris, R. J. Van Aarde, and G. J. Russell. 2014. “Data-Driven Discovery of the Spatial Scales of Habitat Choice by Elephants.” PeerJ 2 (Jan.): e504. doi:10.7717/peerj.504.
  • Miller, A., and R. Li. 2014. “A Geospatial Approach for Prioritizing Wind Farm Development in Northeast Nebraska, USA.” ISPRS International Journal of Geo-Information 3 (3): 968–979. doi:10.3390/ijgi3030968.
  • Pacheco, F. A. L. 2015. “Regional Groundwater Flow in Hard Rocks.” The Science of the Total Environment 506-507 (Feb.): 182–195. doi:10.1016/j.scitotenv.2014.11.008.
  • Pease, M., and J. Murray. 2014. “Making Water Resource Decisions More ‘Informationally’ Efficient: Development of a Geospatial Water Rights Decision Support System for Kittitas County, Washington.” International Journal of Geospatial and Environmental Research 1 (2): 1–12.
  • Rojo, J., and R. Pérez-Badia. 2015. “Spatiotemporal Analysis of Olive Flowering Using Geostatistical Techniques.” The Science of the Total Environment 505 (Feb.): 860–869. doi:10.1016/j.scitotenv.2014.10.022.
  • Selvakumar, R., and S. M. Ramasamy. 2014. “Evaluating Influence of Active Tectonics on Spatial Distribution Pattern of Floods along Eastern Tamil Nadu, India.” Geomorphology 226 (Dec.): 25–34. doi:10.1016/j.geomorph.2014.07.024.
  • Smith, W. J., J. Mount, D. Bennett, and P. Shed. 2014. “Collaborative Research Methodologies and the Construction of a National Geospatial Clearinghouse to Conserve Biodiversity in the Federated States of Micronesia.” Applied Geography 54 (Oct.): 198–208. doi:10.1016/j.apgeog.2014.07.011.
  • Stoebner, T. J., and C. L. Lant. 2014. “Geographic Determinants of Rural Land Covers and the Agricultural Margin in the Central United States.” Applied Geography 55 (Dec.): 138–154. doi:10.1016/j.apgeog.2014.09.008.
  • Thach, T.-Q., Q. Zheng, P.-C. Lai, P. P.-Y. Wong, P. Y.-K. Chau, H. J. Jahn, D. Plass, L. Katzschner, A. Kraemer, and C.-M. Wong. 2014. “Assessing Spatial Associations Between Thermal Stress and Mortality in Hong Kong: A Small-Area Ecological Study.” The Science of the Total Environment 502C (Oct.): 666–672. doi:10.1016/j.scitotenv.2014.09.057.
  • Upadhyay, V., and M. K. Jat. 2014. “Risk Assessment of Petroleum Fire Using Geo-Spatial Techniques.” International Journal of Remote Sensing & Geoscience (IJRSG) 3 (4): 11–20.
  • Wadembere, I., and P. Ogao. 2014. “Overcoming Object Misalignment in Geo-Spatial Datasets.” Journal of Geographic Information System 06 (04): 307–316. doi:10.4236/jgis.2014.64028.
  • Yorifuji, T., H. Naruse, S. Kashima, T. Murakoshi, and H. Doi. 2014. “Residential Proximity to Major Roads and Obstetrical Complications.” The Science of the Total Environment 508C (Dec.): 188–192. doi:10.1016/j.scitotenv.2014.11.077.
  • Zhan, F. B., X. Gong, and X. Liu. 2014. “Mark on the Globe: A Quest for Scientific Bases of Geographic Information and Its International Influence.” International Journal of Geographical Information Science 28 (6): 1233–1245. doi:10.1080/13658816.2013.847186.

GIS

  • Abdullahi, S., B. Pradhan, and M. N. Jebur. 2014. “GIS-Based Sustainable City Compactness Assessment Using Integration of MCDM, Bayes Theorem and RADAR Technology.” Geocarto International, May: 1–23. doi:10.1080/10106049.2014.911967.
  • Arulmozhi, R., T. Subramani, and S. Sukumar. 2015. “Mitigation of Environmental Impacts due to Ghat Road Formation in Palamalai Hills, South India, by Optimizing Cut and Fill Volumes Using GPS and GIS Techniques.” Environmental Monitoring and Assessment 187 (1): 4094. doi:10.1007/s10661-014-4094-x.
  • Baker, R. G. V., and S. A. McGowan. 2013. “Geographic Information System Planning for Future Sea-Level Rise Using Evidence and Response Mechanisms from the Past: A Case Study from the Lower Hunter Valley, New South Wales.” Journal of Coastal Research 286 (1): 118–132. doi:10.2112/JCOASTRES-D-11-00204.1.
  • Baldwin, R., R. Scherzinger, D. Lipscomb, M. Mockrin, and S. Stein. 2014. Planning for Land Use and Conservation: Assessing GIS-Based Conservation Software for Land Use Planning. Res. Note RMRS-RN-70, 33 p. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
  • Balogun, T. F., H. Okeke, and C. I. Chukwukere. 2014. “Crime Mapping in Nigeria Using GIS.” Journal of Geographic Information System 06 (05): 453–466. doi:10.4236/jgis.2014.65039.
  • Barau, I., M. Zubairu, M. N. Mwanza, and V. Y. Seaman. 2014. “Improving Polio Vaccination Coverage in Nigeria through the Use of Geographic Information System Technology.” The Journal of Infectious Diseases 210 S1: S102–S110. doi:10.1093/infdis/jiu010.
  • Beiler, M. R. O., and C. Treat. 2014. “Integrating GIS and AHP to Prioritize Transportation Infrastructure Using Sustainability Metrics.” Journal of Infrastructure Systems, Nov. 04014053. doi:10.1061/(ASCE)IS.1943-555X.0000245.
  • Berry, P., S. Bonduá, V. Bortolotti, C. Cormio, and E. M. Vasini. 2014. “A GIS-Based Open Source Pre-Processor for Georesources Numerical Modeling.” Environmental Modelling & Software 62 (Dec.): 52–64. doi:10.1016/j.envsoft.2014.08.011.
  • Bhatt, G., M. Kumar, and C. J. Duffy. 2014. “A Tightly Coupled GIS and Distributed Hydrologic Modeling Framework.” Environmental Modelling & Software 62 (Dec.): 70–84. doi:10.1016/j.envsoft.2014.08.003.
  • Bisson, M., C. Spinetti, and R. Sulpizio. 2014. “Volcaniclastic Flow Hazard Zonation in the Sub-Apennine Vesuvian Area Using GIS and Remote Sensing.” Geosphere 10 (6): 1419–1431. doi:10.1130/GES01041.1.
  • Borges, R. C., V. G. Caldas, F. F. L. S. Filho, M. M. Ferreira, and C. M. F. Lapa. 2014. “Use of GIS for the Evaluation of Heavy Metal Contamination in the Cunha Canal Watershed and West of the Guanabara Bay, Rio de Janeiro, RJ.” Marine Pollution Bulletin 89 (1–2): 75–84. doi:10.1016/j.marpolbul.2014.10.033.
  • Brovelli, M. A., M. Minghini, and G. Zamboni. 2014. “Public Participation GIS: A FOSS Architecture Enabling Field-Data Collection.” International Journal of Digital Earth, Feb., 1–19. doi:10.1080/17538947.2014.887150.
  • Chan, D. V., S. Gopal, and C. A. Helfrich. 2014. “Accessibility Patterns and Community Integration among Previously Homeless Adults: A Geographic Information Systems (GIS) Approach.” Social Science & Medicine (1982) 120 (Sep.): 142–152. doi:10.1016/j.socscimed.2014.09.005.
  • Ding, Y., Y. Fan, Z. Du, Q. Zhu, W. Wang, S. Liu, and H. Lin. 2014. “An Integrated Geospatial Information Service System for Disaster Management in China.” International Journal of Digital Earth, Sep., 1–28. doi:10.1080/17538947.2014.955540.
  • Elmahdy, S. I., M. M. Marghany, and M. M. Mohamed. 2014. “Application of a Weighted Spatial Probability Model in GIS to Analyse Landslides in Penang Island, Malaysia.” Geomatics, Natural Hazards and Risk, May, 1–15. doi:10.1080/19475705.2014.904825.
  • Feldmann, U., and P. D. Ready. 2014. “Applying GIS and Population Genetics for Managing Livestock Insect Pests: Case Studies of Tsetse and Screwworm Flies.” Acta Tropica 138 (Oct.): S1–S5. doi:10.1016/j.actatropica.2014.03.025.
  • Fuchs, S. 2014. “An Integrated Approach to Germanic Place Names in the American Midwest.” The Professional Geographer, Nov., 1–12. doi:10.1080/00330124.2014.968834.
  • Gimeno-Gutiérrez, M., and R. Lacal-Arántegui. 2015. “Assessment of the European Potential for Pumped Hydropower Energy Storage Based on Two Existing Reservoirs.” Renewable Energy 75 (Mar.): 856–868. doi:10.1016/j.renene.2014.10.068.
  • Heimiller, D., S. Haase, and J. Melius. 2014. Renewable Energy Assessment of Bureau of Reclamation Land and Facilities Using Geographic Information Systems. TP-6A20-57124, 173 p. Golden, CO: National Renewable Energy Laboratory
  • Heron, D., B. Lukovic, C. Massey, W. Ries, and M. McSaveney. 2014. “GIS Modelling in Support of Earthquake-Induced Rockfall and Cliff Collapse Risk Assessment in the Port Hills, Christchurch.” Journal of Spatial Science 59 (2): 313–332. doi:10.1080/14498596.2014.913509.
  • Jacob, B. G., and R. J. Novak. 2014. “Integrating a Trimble Recon X 400 MHz Intel PXA255 Xscale CPU® Mobile Field Data Collection System Using Differentially Corrected Global Positioning System Technology and a Real-Time Bidirectional Actionable Platform within an ArcGIS Cyberenvironment for Implementing Mosquito Control .” Advances in Remote Sensing 03 (03): 141–196. doi:10.4236/ars.2014.33012.
  • Kandel, K., F. Huettmann, M. K. Suwal, G. R. Regmi, V. Nijman, K. A. I. Nekaris, S. T. Lama, A. Thapa, H. P. Sharma, and T. R. Subedi. 2015. “Rapid Multi-Nation Distribution Assessment of a Charismatic Conservation Species Using Open Access Ensemble Model GIS Predictions: Red Panda (Ailurus Fulgens) in the Hindu-Kush Himalaya Region.” Biological Conservation 181 (Jan.): 150–161. doi:10.1016/j.biocon.2014.10.007.
  • Khalil, A., L. Hanich, R. Hakkou, and M. Lepage. 2014. “GIS-Based Environmental Database for Assessing the Mine Pollution: A Case Study of an Abandoned Mine Site in Morocco.” Journal of Geochemical Exploration 144 (Sep.): 468–477. doi:10.1016/j.gexplo.2014.03.023.
  • Ko, L., J.-C. Wang, C.-Y. Chen, and H.-Y. Tsai. 2015. “Evaluation of the Development Potential of Rooftop Solar Photovoltaic in Taiwan.” Renewable Energy 76 (Apr.): 582–595. doi:10.1016/j.renene.2014.11.077.
  • Lewis, S. M., S. Gross, A. Visel, M. Kelly, and W. Morrow. 2015. “Fuzzy GIS-Based Multi-Criteria Evaluation for US Agave Production as a Bioenergy Feedstock.” GCB Bioenergy 7 (1): 84–99. doi:10.1111/gcbb.12116.
  • Li, R., J. W. Merchant, and X.-H. Chen. 2014. “A Geospatial Approach for Assessing Groundwater Vulnerability to Nitrate Contamination in Agricultural Settings.” Water, Air, & Soil Pollution 225 (12): 2214. doi:10.1007/s11270-014-2214-4.
  • Mallick, J., Y. Alashker, S. A.-D. Mohammad, M. Ahmed, and M. A. Hasan. 2014. “Risk Assessment of Soil Erosion in Semi-Arid Mountainous Watershed in Saudi Arabia by RUSLE Model Coupled with Remote Sensing and GIS.” Geocarto International 29 (8): 915–940. doi:10.1080/10106049.2013.868044.
  • Mani Murali, R., and P. K. D. Kumar. 2015. “Implications of Sea Level Rise Scenarios on Land Use /Land Cover Classes of the Coastal Zones of Cochin, India.” Journal of Environmental Management 148 (Jul.): 124–133. doi:10.1016/j.jenvman.2014.06.010.
  • McMeekin, P., J. Gray, G. A. Ford, J. Duckett, and C. I. Price. 2014. “A Comparison of Actual versus Predicted Emergency Ambulance Journey Times Using Generic Geographic Information System Software.” Emergency Medicine Journal : EMJ 31 (9): 758–762. doi:10.1136/emermed-2012-202246.
  • Melius, J., R. Margolis, and S. Ong. 2013. Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques, 1–35. Technical Report NREL/TP-6A20-60593. Golden, CO: National Renewable Energy Laboratory.
  • Mellino, S., E. Buonocore, and S. Ulgiati. 2015. “The Worth of Land Use: A GIS–emergy Evaluation of Natural and Human-Made Capital.” Science of The Total Environment 506-507 (Feb.): 137–148. doi:10.1016/j.scitotenv.2014.10.085.
  • Nemtinov, V. A., Y. V. Nemtinova, A. B. Borisenko, and K. V. Nemtinov. 2014. “Construction of Concentration Fields of Elements in 3D in Groundwater of an Industrial Hub Using GIS Technologies.” Journal of Geochemical Exploration 147 (Dec.): 46–51. doi:10.1016/j.gexplo.2014.04.007.
  • Okonkwo, C., and B. Demoz. 2014. “Identifying Anthropogenic ‘hotspots’ and Management of Water Resources in Lake Chad Basin Using GIS.” Journal of Natural Resources Policy Research 6 (2–3): 135–149. doi:10.1080/19390459.2014.920581.
  • Pratt, A., M. Dale, E. Olivi, and J. Miller. 2014. “Spatial Distribution and Deployment of Community-Based Distributors Implementing Integrated Community Case Management (iCCM): Geographic Information System (GIS) Mapping Study in Three South Sudan States.” Journal of Global Health 4 (2): 020402. doi:10.7189/jogh.04.020402.
  • Puliafito, S. E., D. Allende, S. Pinto, and P. Castesana. 2015. “High Resolution Inventory of GHG Emissions of the Road Transport Sector in Argentina.” Atmospheric Environment 101 (Jan.): 303–311. doi:10.1016/j.atmosenv.2014.11.040.
  • Righini, G., A. Cappelletti, A. Ciucci, G. Cremona, A. Piersanti, L. Vitali, and L. Ciancarella. 2014. “GIS Based Assessment of the Spatial Representativeness of Air Quality Monitoring Stations Using Pollutant Emissions Data.” Atmospheric Environment 97 (Nov.): 121–129. doi:10.1016/j.atmosenv.2014.08.015.
  • Sadeghi, B., and M. Khalajmasoumi. 2015. “A Futuristic Review for Evaluation of Geothermal Potentials Using Fuzzy Logic and Binary Index Overlay in GIS Environment.” Renewable and Sustainable Energy Reviews 43 (Mar.): 818–831. doi:10.1016/j.rser.2014.11.079.
  • Sibilio, G., A. Russo, R. Vallariello, B. Menale, P. De Luca, and O. De Castro. 2014. “The Past, Present and Future of Thermophilous Cyperus Polystachyos Rottb. (Cyperaceae) on the Island of Ischia (southern Italy).” Plant Biosystems - An International Journal Dealing with All Aspects of Plant Biology, Aug., 1–10. doi:10.1080/11263504.2014.951713.
  • Thompson, M. P., J. R. Haas, J. W. Gilbertson-Day, J. H. Scott, P. Langowski, E. Bowne, and D. E. Calkin. 2015. “Development and Application of a Geospatial Wildfire Exposure and Risk Calculation Tool.” Environmental Modelling & Software 63 (Jan.): 61–72. doi:10.1016/j.envsoft.2014.09.018.
  • Veland, S., A. Lynch, Z. Bischoff-Mattson, L. Joachim, and N. Johnson. 2014. “All Strings Attached: Negotiating Relationships of Geographic Information Science.” Geographical Research 52 (3): 296–308. doi:10.1111/1745-5871.12070.
  • Yerramilli, S., and D. G. Fonseca. 2014. “Assessing Geographical Inaccessibility to Health Care: Using GIS Network Based Methods.” Public Health Research 4 (5): 145–159. doi:10.5923/j.phr.20140405.01.
  • Yin, Y., X. Zhang, D. Lin, H. Yu, J. Wang, and P. Shi. 2014. “GEPIC-V-R Model: A GIS-Based Tool for Regional Crop Drought Risk Assessment.” Agricultural Water Management 144 (Oct.): 107–119. doi:10.1016/j.agwat.2014.05.017.

GIScience

  • Akbari, M., and S. R. H. Peikar. 2014. “Evaluation of Free/Open Source Software Using OSMM Model Case Study: WebGIS and Spatial Database.” Advances in Computer Science: An International Journal 3 (5(11)): 34–43.
  • Anselin, L., S. J. Rey, and W. Li. 2014. “Metadata and Provenance for Spatial Analysis: The Case of Spatial Weights.” International Journal of Geographical Information Science 28 (11): 2261–2280. doi:10.1080/13658816.2014.917313.
  • Caldow, C., M. E. Monaco, S. J. Pittman, M. S. Kendall, T. L. Goedeke, C. Menza, B. P. Kinlan, and B. M. Costa. 2015. “Biogeographic Assessments: A Framework for Information Synthesis in Marine Spatial Planning.” Marine Policy 51 (Jan.): 423–432. doi:10.1016/j.marpol.2014.07.023.
  • Calvert, K., J. M. Pearce, and W. E. Mabee. 2013. “Toward Renewable Energy Geo-Information Infrastructures: Applications of GIScience and Remote Sensing That Build Institutional Capacity.” Renewable and Sustainable Energy Reviews 18 (Feb.): 416–429. doi:10.1016/j.rser.2012.10.024.
  • Eränen, D., J. Oksanen, J. Westerholm, and T. Sarjakoski. 2014. “A Full Graphics Processing Unit Implementation of Uncertainty-Aware Drainage Basin Delineation.” Computers & Geosciences 73 (Dec.): 48–60. doi:10.1016/j.cageo.2014.08.012.
  • Hawthorne, T. L., P. Solís, B. Terry, M. Price, and C. L. Atchison. 2015. “Critical Reflection Mapping as a Hybrid Methodology for Examining Sociospatial Perceptions of New Research Sites.” Annals of the Association of American Geographers 105 (1): 22–47. doi:10.1080/00045608.2014.960041.
  • Liu, X., J. Shannon, H. Voun, M. Truijens, H.-L. Chi, and X. Wang. 2014. “Spatial and Temporal Analysis on the Distribution of Active Radio-Frequency Identification (RFID) Tracking Accuracy with the Kriging Method.” Sensors (Basel, Switzerland) 14 (11): 20451–20467. doi:10.3390/s141120451.
  • Medrano, F. A., and R. L. Church. 2014. “Corridor Location for Infrastructure Development: A Fast Bi-Objective Shortest Path Method for Approximating the Pareto Frontier.” International Regional Science Review 37 (2): 129–148. doi:10.1177/0160017613507772.
  • Montello, D. R., A. Friedman, and D. W. Phillips. 2014. “Vague Cognitive Regions in Geography and Geographic Information Science.” International Journal of Geographical Information Science 28 (9): 1802–1820. doi:10.1080/13658816.2014.900178.
  • Passalacqua, P., J. Hillier, and P. Tarolli. 2014. “Innovative Analysis and Use of High-Resolution DTMs for Quantitative Interrogation of Earth-Surface Processes.” Earth Surface Processes and Landforms 39 (10): 1400–1403. doi:10.1002/esp.3616.
  • Richards, M. P. 2014. “The Gerrymandering of School Attendance Zones and the Segregation of Public Schools: A Geospatial Analysis.” American Educational Research Journal 51 (6): 1119–1157. doi:10.3102/0002831214553652.
  • Robertson, H., N. Nicholas, A. Georgiou, J. Johnson, and J. Travaglia. 2014. “Globalising Health Informatics: The Role of GIScience.” Studies in Health Technology and Informatics 205 (Jan.): 1168–1172. doi:10.3233/978-1-61499-432-9-1168.
  • Roche, S. 2014. “Geographic Information Science I: Why Does a Smart City Need to Be Spatially Enabled?” Progress in Human Geography 38 (5): 703–711. doi:10.1177/0309132513517365.
  • Samson, G. L., J. Lu, and A. A. Showole. 2014. “Mining Complex Spatial Patterns: Issues and Techniques.” Journal of Information & Knowledge Management 13 (02): 1450019. doi:10.1142/S0219649214500191.
  • Singleton, A., and C. Brunsdon. 2014. “Escaping the Pushpin Paradigm in Geographic Information Science: (Re)presenting National Crime Data.” Area 46 (3): 294–304. doi:10.1111/area.12116.
  • Skupin, A. 2014. “Making a Mark: A Computational and Visual Analysis of One Researcher’s Intellectual Domain.” International Journal of Geographical Information Science 28 (6): 1209–1232. doi:10.1080/13658816.2014.906040.
  • Wilson, J. P. 2014. “GIScience Research at the 2014 Esri International User Conference.” Transactions in GIS 18 (3): 321–323. doi:10.1111/tgis.12103.

History of cartography

  • Allen, D. Y. 2014. “Alexander von Humboldt and the Mapping of Mexico.” E-Perimetron 9 (2): 78–96.
  • Costes, B. 2014. “Matching Old Hydrographic Vector Data from Cassini’s Maps.” E-Perimetron 9 (2): 51–65.
  • De Oliveira, F. R. 2014. “Jaime Cortesão in the Itamaraty: The Lecture Courses on the History of Cartography and Territorial Formation of Brazil, 1944-1950 | Jaime Cortesão No Itamaraty: Os Cursos de História Da Cartografia E Da Formação Territorial Do Brasil de 1944-1950.” Scripta Nova 18 (Jan.): 741–798.
  • Edney, M. H. 2014. “Academic Cartography, Internal Map History, and the Critical Study of Mapping Processes.” Imago Mundi: The International Journal for the History of Cartography 66 ( S1): 83–106. doi:10.1080/03085694.2014.947853.
  • Gomis, J., and C. Turón. 2014. “Conceptual and Instrumental Influences in the Graphic Representation of Urban Planning: From Ancient Times to the Baroque.” Geographia Technica 9 (2): 30–43.
  • Hedefalk, F., L. Harrie, and P. Svensson. 2014. “Extending the Intermediate Data Structure (IDS) for Longitudinal Historical Databases to Include Geographic Data.” Historical Life Course Studies 1: 27–46.
  • Heffernan, M., and C. Delano-Smith. 2014. “A Life in Maps: Leo Bagrow, Imago Mundi, and the History of Cartography in the Early Twentieth Century | Une Vie Dans Les Cartes: Leo Bagrow, Imago Mundi, et L’histoire de La Cartographie Dans La Première Partie Du XXe Siècle | Ein Leben Mit Karten: Leo B.” Imago Mundi 66 (Jan.): 44–69. doi:10.1080/03085694.2014.947850.
  • Livieratos, E., and C. Boutoura. 2014. “Precursors of Scientific Mapping of Peloponnese: Two Early 18th Century Rare Venetian Maps.” E-Perimetron 9 (1): 30–50.
  • Macías, L. A. R. 2014. “The Longitude of the Mediterranean throughout History: Facts, Myths and Surprises.” E-Perimetron 9 (1): 1–29.
  • Minte, R., M. Stiglitz, K. Sugiyama, and M. Barnard. 2014. “From Quanzhou, China to Oxford, UK: An Account of the Selden Map of China and Its Conservation.” Studies in Conservation 59 ( S1): S115–S118. doi:10.1179/204705814X13975704318470.
  • Mulhearn, P. 2014. “The 18th and 19th Century Charting of Sydney Harbour/Port Jackson.” E-Perimetron 9 (2): 66–77.
  • Piccardi, M. 2014. “Small, Medium and Large Scale Maps in Coastal Studies.” What Happened to Arno’s Mouth between the XIVth and the XIXth Century?” E-Perimetron 9 (4): 176–195.
  • Scaglione, G. 2014. “History, Digital Humanities and Cartography. The Graphic Rendering of the Bourbons’ Cadastre in the First Half of the 19th Century.” Citta E Storia 9 (1): 9–31.
  • Simon, R., P. Pilgerstorfer, L. Isaksen, and E. Barker. 2014. “Towards Semi-Automatic Annotation of Toponyms on Old Maps.” E-Perimetron 9 (3): 105–112.
  • Svatek, P. 2015. “Civil Aviation Cartography in Austria 1908–1938.” Journal of Navigation 68 (01): 126–141. doi:10.1017/S0373463314000563.
  • Urteaga, L., and C. C. Bullón. 2014. “The Maps of the Spanish Royal Sites Surveyed by the General Statistics Board, 1861-1869 | Los Planos de Los Sitios Reales Españoles Formados Por La Junta General de Estadística, 1861-1869.” Scripta Nova 18 (Jan.): 741–198.

Information retrieval

  • Chifu, A.-G., F. Hristea, J. Mothe, and M. Popescu. 2015. “Word Sense Discrimination in Information Retrieval: A Spectral Clustering-Based Approach.” Information Processing & Management 51 (2): 16–31. doi:10.1016/j.ipm.2014.10.007.
  • De Andrade, F. G., C. D. S. Baptista, and C. A. Davis. 2014. “Improving Geographic Information Retrieval in Spatial Data Infrastructures.” GeoInformatica 18 (4): 793–818. doi:10.1007/s10707-014-0202-x.
  • Gupta, Y., A. Saini, and A. K. Saxena. 2015. “A New Fuzzy Logic Based Ranking Function for Efficient Information Retrieval System.” Expert Systems with Applications 42 (3): 1223–1234. doi:10.1016/j.eswa.2014.09.009.
  • Gupta, Y., A. Saini, and A. Saxena. 2014. “Fuzzy Logic-Based Approach to Develop Hybrid Similarity Measure for Efficient Information Retrieval.” Journal of Information Science 40 (6): 846–857. doi:10.1177/0165551514548989.
  • Kounadi, O., and M. Leitner. 2014. “Why Does Geoprivacy Matter? The Scientific Publication of Confidential Data Presented on Maps.” Journal of Empirical Research on Human Research Ethics 9 (4): 34–45. doi:10.1177/1556264614544103.

Integration

  • Andersen, O., B. B. Krogh, C. Thomsen, and K. Torp. 2014. “An Advanced Data Warehouse for Integrating Large Sets of GPS Data.” In Proceedings of the 17th International Workshop on Data Warehousing and OLAP - DOLAP ’14, 13–22. New York: ACM Press. doi:10.1145/2666158.2666172.
  • Ferrara, C., L. Salvati, and I. Tombolini. 2014. “An Integrated Evaluation of Soil Resource Depletion from Diachronic Settlement Maps and Soil Cartography in Peri-Urban Rome, Italy.” Geoderma 232-234 (Nov.): 394–405. doi:10.1016/j.geoderma.2014.05.020.
  • Goodchild, M. F. 2013. “Prospects for a Space—Time GIS.” Annals of the Association of American Geographers 103 (5): 1072–1077. doi:10.1080/00045608.2013.792175.
  • Hou, X., and B. R. Hodges. 2014. “Integrating Google Maps/Earth Into an Automated Oil Spill Forecast System.” Marine Technology Society Journal 48 (4): 79–85. doi:10.4031/MTSJ.48.4.3.
  • Jin, H., G. Mountrakis, and S. V. Stehman. 2014. “Assessing Integration of Intensity, Polarimetric Scattering, Interferometric Coherence and Spatial Texture Metrics in PALSAR-Derived Land Cover Classification.” ISPRS Journal of Photogrammetry and Remote Sensing 98 (Dec.): 70–84. doi:10.1016/j.isprsjprs.2014.09.017.
  • Lee, S., H.-J. Oh, C.-H. Heo, and I. Park. 2014. “A Case Study for the Integration of Predictive Mineral Potential Maps.” Central European Journal of Geosciences 6 (3): 373–392. doi:10.2478/s13533-012-0183-y.
  • Liang, J., J. Gong, J. Zhou, A. N. Ibrahim, and M. Li. 2015. “An Open-Source 3D Solar Radiation Model Integrated with a 3D Geographic Information System.” Environmental Modelling & Software 64 (Feb.): 94–101. doi:10.1016/j.envsoft.2014.11.019.
  • Liu, H., T. Huffman, J. Liu, Z. Li, B. Daneshfar, and X. Zhang. 2015. “Integration of Multi-Disciplinary Geospatial Data for Delineating Agroecosystem Uniform Management Zones.” Environmental Monitoring and Assessment 187 (1): 4102. doi:10.1007/s10661-014-4102-1.
  • McKerrow, A. J., A. Davidson, T. S. Earnhardt, and A. L. Benson. 2014. “Integrating Recent Land Cover Mapping Efforts to Update the National Gap Analysis Program’s Species Habitat Map.” In ISPRS Technical Commission I Symposium, 8, Vol. XL-1, 245–252. Denver, CO: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. doi:10.5194/isprsarchives-XL-1-245-2014.
  • Neshat, A., B. Pradhan, and H. Z. M. Shafri. 2014. “An Integrated GIS Based Statistical Model to Compute Groundwater Vulnerability Index for Decision Maker in Agricultural Area.” Journal of the Indian Society of Remote Sensing 42 (4): 777–788. doi:10.1007/s12524-014-0376-6.
  • Sulaiman, N. A., N. F. A. Aziz, N. M. Tarmizi, A. M. Samad, and W. Z. W. Jaafar. 2014. “Integration of Geographic Information System (GIS) and Hydraulic Modelling to Simulate Floodplain Inundation Level for Bandar Segamat.” In 2014 IEEE 5th Control and System Graduate Research Colloquium, 114–119. IEEE. doi:10.1109/ICSGRC.2014.6908706.
  • Wickham, J., C. Homer, J. Vogelmann, A. McKerrow, R. Mueller, N. Herold, and J. Coulston. 2014. “The Multi-Resolution Land Characteristics (MRLC) Consortium — 20 Years of Development and Integration of USA National Land Cover Data.” Remote Sensing 6 (8): 7424–7441. doi:10.3390/rs6087424.
  • Xu, X., J. Li, and B. A. Tolson. 2014. “Progress in Integrating Remote Sensing Data and Hydrologic Modeling.” Progress in Physical Geography 38 (4): 464–498. doi:10.1177/0309133314536583.
  • Zhang, X., W. Li, and C. Lin. 2014. “Digital Earth System Based River Basin Data Integration.” In SPIE Proceedings Vol. 9260, Land Surface Remote Sensing II, edited by T. J. Jackson, J. M. Chen, P. Gong, and S. Liang, 92604A. doi:10.1117/12.2069674.

Maps/mapping

  • Bagheri, N. 2014. “What Qualitative GIS Maps Tell and Don’t Tell: Insights from Mapping Women in Tehran’s Public Spaces.” Journal of Cultural Geography 31 (2): 166–178. doi:10.1080/08873631.2014.906848
  • Baily, B., and R. Inkpen. 2013. “Assessing Historical Saltmarsh Change; an Investigation into the Reliability of Historical Saltmarsh Mapping Using Contemporaneous Aerial Photography and Cartographic Data.” Journal of Coastal Conservation 17 (3): 503–514. doi:10.1007/s11852-013-0250-7.
  • Ballarin, M., and P. Vernier. 2014. “Digitization of Maps Belonging to Cultural Heritage.” E-Perimetron 9 (4): 196–205.
  • Bowen, E. E., Y. Hamada, and B. L. O’Connor. 2014. “Mapping Mountain Front Recharge Areas in Arid Watersheds Based on a Digital Elevation Model and Land Cover Types.” Journal of Water Resource and Protection 06 (08): 756–771. doi:10.4236/jwarp.2014.68072.
  • Boyte, S. P., B. K. Wylie, and D. J. Major. 2014. “Mapping and Monitoring Cheatgrass Dieoff in Rangelands of the Northern Great Basin, USA.” Rangeland Ecology & Management, Aug. 141208072801005. doi:10.1016/j.rama.2014.12.005.
  • Brehme, C. E., P. McCarron, and H. Tetreault. 2015. “A Dasymetric Map of Maine Lobster Trap Distribution Using Local Knowledge.” The Professional Geographer, 67 (1): 98–109. doi:10.1080/00330124.2014.883956.
  • Brooker, A., R. H. Fraser, I. Olthof, S. V. Kokelj, and D. Lacelle. 2014. “Mapping the Activity and Evolution of Retrogressive Thaw Slumps by Tasselled Cap Trend Analysis of a Landsat Satellite Image Stack.” Permafrost and Periglacial Processes 25 (4): 243–256. doi:10.1002/ppp.1819.
  • Busby, J. W., T. G. Smith, and N. Krishnan. 2014. “Climate Security Vulnerability in Africa Mapping 3.01.” Political Geography 43 (Nov.): 51–67. doi:10.1016/j.polgeo.2014.10.005.
  • Cartus, O., J. Kellndorfer, W. Walker, C. Franco, J. Bishop, L. Santos, and J. Fuentes. 2014. “A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico.” Remote Sensing 6 (6): 5559–5588. doi:10.3390/rs6065559.
  • Clague, D. A., B. M. Dreyer, J. B. Paduan, J. F. Martin, D. W. Caress, J. B. Gill, and D. S. Kelley, et al. 2014. “Eruptive and Tectonic History of the Endeavour Segment, Juan de Fuca Ridge, Based on AUV Mapping Data and Lava Flow Ages.” Geochemistry, Geophysics, Geosystems 15 (8): 3364–3391. doi:10.1002/2014GC005415.
  • Crom, W. 2014. “Digitisation of Maps – Only a Colourful Picture or a Value Added Service?” E-Perimetron 9 (3): 97–104.
  • Deville, P., C. Linard, S. Martin, M. Gilbert, F. R. Stevens, A. E. Gaughan, V. D. Blondel, and A. J. Tatem. 2014. “Dynamic Population Mapping Using Mobile Phone Data.” Proceedings of the National Academy of Sciences 111 (45): 15888–15893. doi:10.1073/pnas.1408439111.
  • Dixon, A. P., D. Faber-Langendoen, C. Josse, J. Morrison, and C. J. Loucks. 2014. “Distribution Mapping of World Grassland Types.” Journal of Biogeography 41 (11): 2003–2019. doi:10.1111/jbi.12381.
  • Gallant, A. L., N. H. Euliss, and Z. Browning. 2014. “Mapping Large-Area Landscape Suitability for Honey Bees to Assess the Influence of Land-Use Change on Sustainability of National Pollination Services.” PloS One 9 (6): e99268. doi:10.1371/journal.pone.0099268.
  • Gökkaya, K., V. Thomas, T. Noland, H. McCaughey, I. Morrison, and P. Treitz. 2015. “Mapping Continuous Forest Type Variation by Means of Correlating Remotely Sensed Metrics to Canopy N:P Ratio in a Boreal Mixedwood Forest.” Applied Vegetation Science 18 (1): 143–157. doi:10.1111/avsc.12122.
  • Guindon, L., P. Y. Bernier, A. Beaudoin, D. Pouliot, P. Villemaire, R. J. Hall, R. Latifovic, and R. St-Amant. 2014. “Annual Mapping of Large Forest Disturbances across Canada’s Forests Using 250 M MODIS Imagery from 2000 to 2011.” Canadian Journal of Forest Research 44 (12): 1545–1554. doi:10.1139/cjfr-2014-0229.
  • Harvey, F. 2013. “The Power of Mapping: Considering Discrepancies of Polish Cadastral Mapping.” Annals of the Association of American Geographers 103 (4): 824–843. doi:10.1080/00045608.2012.720228.
  • Hay, S. I., K. E. Battle, D. M. Pigott, D. L. Smith, C. L. Moyes, S. Bhatt, and J. S. Brownstein, et al. 2013. “Global Mapping of Infectious Disease.” Philosophical Transactions: Biological Sciences 368 (1614): 1–11.
  • Healey, S. P., S. P. Urbanski, P. L. Patterson, and C. Garrard. 2014. “A Framework for Simulating Map Error in Ecosystem Models.” Remote Sensing of Environment 150 (Jul.): 207–217. doi:10.1016/j.rse.2014.04.028.
  • Hengl, T., J. Mendes De Jesus, R. A. MacMillan, N. H. Batjes, G. B. M. Heuvelink, E. Ribeiro, and A. Samuel-Rosa, et al. 2014. “SoilGrids1km–Global Soil Information Based on Automated Mapping.” PloS One 9 (8): e105992. doi:10.1371/journal.pone.0105992.
  • Herrmann, J. T., J. L. King, and J. E. Buikstra. 2014. “Mapping the Internal Structure of Hopewell Tumuli in the Lower Illinois River Valley through Archaeological Geophysics.” Advances in Archaeological Practice: A Journal of the Society for American Archaeology 2 (3): 164–179. doi:10.7183/2326-3768.2.3.164.
  • Howell, J. P., and D. L. Baylis. 2014. “Mapping Energy: Cartographies of Energy Into The Twenty-First Century.” Geographical Review 104 (2): 209–228. doi:10.1111/j.1931-0846.2014.12018.x.
  • Irás, K., and I. Elek. 2014. “Digital Map Archive and Map Database of Eötvös Loránd University.” E-Perimetron 9 (4): 166–175.
  • Karlson, M., H. Reese, and M. Ostwald. 2014. “Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis.” Sensors (Basel, Switzerland) 14 (12): 22643–22669. doi:10.3390/s141222643.
  • Maesano, M., B. Lasserre, M. Masiero, D. Tonti, and M. Marchetti. 2014. “First Mapping of the Main High Conservation Value Forests (HCVFs) at National Scale: The Case of Italy.” Plant Biosystems - An International Journal Dealing with All Aspects of Plant Biology, Sep., 1–9. doi:10.1080/11263504.2014.948524.
  • Markieta, M., and C. Rinner. 2014. “Using Distributed Map Overlay and Layer Opacity for Visual Multi-Criteria Analysis.” Geomatica 68 (2): 95–105. doi:10.5623/cig2014-202.
  • Martin, C. S., M. J. Tolley, E. Farmer, C. J. Mcowen, J. L. Geffert, J. P. W. Scharlemann, and H. L. Thomas, et al. 2015. “A Global Map to Aid the Identification and Screening of Critical Habitat for Marine Industries.” Marine Policy 53 (Mar.): 45–53. doi:10.1016/j.marpol.2014.11.007.
  • Mesta, P. N., B. Setturu, S. Chandran, K. S. R, and T. V. R. 2014. “Inventorying, Mapping and Monitoring of Mangroves towards Sustainable Management of West Coast, India.” Journal of Geophysics & Remote Sensing 3 (3): 1–8. doi:10.4172/2169-0049.1000130.
  • Metcalf, A. C. 2014. “Water and Social Space: Using Georeferenced Maps and Geocoded Images to Enrich the History of Rio de Janeiro’s Fountains.” E-Perimetron 9 (3): 123–145.
  • Miller, B. A., S. Koszinski, M. Wehrhan, and M. Sommer. 2014. “Comparison of Spatial Association Approaches for Landscape Mapping of Soil Organic Carbon Stocks.” SOIL Discussions 1 (1): 757–802. doi:10.5194/soild-1-757-2014.
  • Rodgers, L., T. Pernas, and S. D. Hill. 2014. “Mapping Invasive Plant Distributions in the Florida Everglades Using the Digital Aerial Sketch Mapping Technique.” Invasive Plant Science and Management 7 (2): 360–374. doi:10.1614/IPSM-D-12-00092.1.
  • Roland, M. A., S. M. Underwood, C. M. Thomas, J. F. Miller, B. A. Pratt, L. G. Hogan, and P. A. Wnek. 2014. Flood-Inundation Maps for the Susquehanna River near Harrisburg, Pennsylvania. U.S. Geological Survey Scientific Investigations Report 2014–5046, 17 p.
  • Sabde, Y., V. Diwan, A. De Costa, and V. K. Mahadik. 2014. “Mapping the Rapid Expansion of India’s Medical Education Sector: Planning for the Future.” BMC Medical Education 14 (1): 266. doi:10.1186/s12909-014-0266-1.
  • Sato, H., M. S. Robinson, B. Hapke, B. W. Denevi, and A. K. Boyd. 2014. “Resolved Hapke Parameter Maps of the Moon.” Journal of Geophysical Research: Planets 119 (8): 1775–1805. doi:10.1002/2013JE004580.
  • Sayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, and D. Cribbs, et al. 2014. A New Map of Global Ecological Land Units – An Ecophysiographic Stratification Approach, 46 p. Washington, DC: Association of American Geographers.
  • Solikhin, A., V. Pinel, J. Vandemeulebrouck, J.-C. Thouret, and M. Hendrasto. 2015. “Mapping the 2010 Merapi Pyroclastic Deposits Using Dual-Polarization Synthetic Aperture Radar (SAR) Data.” Remote Sensing of Environment 158 (Mar.): 180–192. doi:10.1016/j.rse.2014.11.002.
  • Stephanson, S. L., and M. B. Mascia. 2014. “Putting People on the Map through an Approach That Integrates Social Data in Conservation Planning.” Conservation Biology : The Journal of the Society for Conservation Biology 28 (5): 1236–1248. doi:10.1111/cobi.12357.
  • Sun, J., J. Southworth, and Y. Qiu. 2013. “Mapping Multi-Scale Impacts of Deforestation in the Amazonian Rainforest from 1986 to 2010.” Journal of Land Use Science, Dec., 1–17. doi:10.1080/1747423X.2013.858785.
  • Tanaka, K. L. 2014. “The New Geologic Map of Mars: Guiding Research and Education.” Eos, Transactions American Geophysical Union 95 (38): 341–342. doi:10.1002/2014EO380001.
  • Thomas, M., D. Clifford, R. Bartley, S. Philip, D. Brough, L. Gregory, R. Willis, and M. Glover. 2015. “Putting Regional Digital Soil Mapping into Practice in Tropical Northern Australia.” Geoderma 241-242 (Mar.): 145–157. doi:10.1016/j.geoderma.2014.11.016.
  • Timár, G., Z. Bartos-Elekes, V. Crăciunescu, C. Flueraru, Z. Imecs, and Z. Magyar-Sáska. 2014. “Danger Doesn’t Vanish with the Dikes: Comparison of the Inundation Pattern of the 2006 Danube Floods and the Historical Topographic Map of 1864 of South Romania.” E-Perimetron 9 (3): 146–152.
  • Van Duren, I., A. Voinov, O. Arodudu, and M. T. Firrisa. 2015. “Where to Produce Rapeseed Biodiesel and Why? Mapping European Rapeseed Energy Efficiency.” Renewable Energy 74 (Feb.): 49–59. doi:10.1016/j.renene.2014.07.016.
  • Verboom, W. H., and J. S. Pate. 2015. “An Integrated Approach to Mapping and Understanding of Vegetation: Soil Systems.” Catena 126 (Mar.): 134–145. doi:10.1016/j.catena.2014.11.007.
  • Weary, D. J., and V. M. Grant. 2014. “USGS Geologic Mapping and Karst Research in Ozark National Scenic Riverways, Missouri, USA.” The George Wright Forum 31 (2): 157–167.
  • White, D., and R. Stephenson. 2014. “Using Community Mapping to Understand Family Planning Behavior.” Field Methods 26 (4): 406–420. doi:10.1177/1525822X14529256.
  • Zillmann, E., A. Gonzalez, E. J. M. Herrero, J. Van Wolvelaer, T. Esch, M. Keil, H. Weichelt, and A. M. Garzon. 2014. “Pan-European Grassland Mapping Using Seasonal Statistics From Multisensor Image Time Series.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (8): 3461–3472. doi:10.1109/JSTARS.2014.2321432.

Models/modeling

  • Afanasev, I., T. Volkova, A. Elizaryev, and A. Longobardi. 2014. “Analysis of Interpolation Methods to Map the Long-Term Annual Precipitation Spatial Variability for the Republic of Bashkortostan, Russian Federation.” WSEAS Transactions on Environment and Development 10: 405–416.
  • Akumu, C. E., J. A. Johnson, D. Etheridge, P. Uhlig, M. Woods, D. G. Pitt, and S. McMurray. 2015. “GIS-Fuzzy Logic Based Approach in Modeling Soil Texture: Using Parts of the Clay Belt and Hornepayne Region in Ontario Canada as a Case Study.” Geoderma 239-240 (Feb.): 13–24. doi:10.1016/j.geoderma.2014.09.021.
  • Baumflek, M., S. DeGloria, and K.-A. Kassam. 2015. “Habitat Modeling for Health Sovereignty: Increasing Indigenous Access to Medicinal Plants in Northern Maine, USA.” Applied Geography 56 (Jan.): 83–94. doi:10.1016/j.apgeog.2014.10.012.
  • Bhowmik, A. K., M. Metz, and R. B. Schäfer. 2015. “An Automated, Objective and Open Source Tool for Stream Threshold Selection and Upstream Riparian Corridor Delineation.” Environmental Modelling & Software 63 (Jan.): 240–250. doi:10.1016/j.envsoft.2014.10.017.
  • Brandl, S., W. Falk, H.-J. Klemmt, G. Stricker, A. Bender, T. Rötzer, and H. Pretzsch. 2014. “Possibilities and Limitations of Spatially Explicit Site Index Modelling for Spruce Based on National Forest Inventory Data and Digital Maps of Soil and Climate in Bavaria (SE Germany).” Forests 5 (11): 2626–2646. doi:10.3390/f5112626.
  • Brown, M. E., A. E. Racoviteanu, D. G. Tarboton, A. S. Gupta, J. Nigro, F. Policelli, and S. Habib, et al. 2014. “An Integrated Modeling System for Estimating Glacier and Snow Melt Driven Streamflow from Remote Sensing and Earth System Data Products in the Himalayas.” Journal of Hydrology 519 (Nov.): 1859–1869. doi:10.1016/j.jhydrol.2014.09.050.
  • Castronova, A. M., and J. L. Goodall. 2014. “A Hierarchical Network-Based Algorithm for Multi-Scale Watershed Delineation.” Computers & Geosciences 72 (Nov.): 156–166. doi:10.1016/j.cageo.2014.07.014.
  • De Foy, B., J. L. Wilkins, Z. Lu, D. G. Streets, and B. N. Duncan. 2014. “Model Evaluation of Methods for Estimating Surface Emissions and Chemical Lifetimes from Satellite Data.” Atmospheric Environment 98 (Dec.): 66–77. doi:10.1016/j.atmosenv.2014.08.051.
  • Guan, Q., W. Zeng, J. Gong, and S. Yun. 2014. “pRPL 2.0: Improving the Parallel Raster Processing Library.” Transactions in GIS 18 (Nov.): 25–52. doi:10.1111/tgis.12109.
  • Kuzmanovski, V., A. Trajanov, F. Leprince, S. Džeroski, and M. Debeljak. 2015. “Modeling Water Outflow from Tile-Drained Agricultural Fields.” Science of the Total Environment 505 (Feb.): 390–401. doi:10.1016/j.scitotenv.2014.10.009.
  • Leonard, L., and C. J. Duffy. 2014. “Automating Data-Model Workflows at a Level 12 HUC Scale: Watershed Modeling in a Distributed Computing Environment.” Environmental Modelling & Software 61 (Nov.): 174–190. doi:10.1016/j.envsoft.2014.07.015.
  • Lin, Y.-P., D. Deng, W.-C. Lin, R. Lemmens, N. D. Crossman, K. Henle, and D. S. Schmeller. 2015. “Uncertainty Analysis of Crowd-Sourced and Professionally Collected Field Data Used in Species Distribution Models of Taiwanese Moths.” Biological Conservation 181 (Jan.): 102–110. doi:10.1016/j.biocon.2014.11.012.
  • Liu, Y., Q. Guo, Y. Sun, and X. Ma. 2014. “A Combined Approach to Cartographic Displacement for Buildings Based on Skeleton and Improved Elastic Beam Algorithm.” PloS One 9 (12): e113953. doi:10.1371/journal.pone.0113953.
  • Martin, C. S., M. Giannoulaki, F. De Leo, M. Scardi, M. Salomidi, L. Knittweis, and M. L. Pace, et al. 2014. “Coralligenous and Maërl Habitats: Predictive Modelling to Identify Their Spatial Distributions across the Mediterranean Sea.” Scientific Reports, May, 5073. doi:10.1038/srep05073.
  • Pattarapanitchai, S., S. Janjai, K. Tohsing, and J. Prathumsit. 2015. “A Technique to Map Monthly Average Global Illuminance from Satellite Data in the Tropics Using a Simple Semi-Empirical Model.” Renewable Energy: An International Journal74 (Feb.): 170–175. doi:10.1016/j.renene.2014.08.005.
  • Praveena, S. M., M. H. Abdullah, K. Bidin, and A. Z. Aris. 2012. “Modeling of Water Balance Components in a Small Island via a Numerical Model Application.” Journal of Coastal Research 28 (1): 202–209. doi:10.2112/JCOASTRES-D-10-00057.1.
  • Qin, C.-Z., L.-J. Zhan, A.-X. Zhu, and C.-H. Zhou. 2014. “A Strategy for Raster-Based Geocomputation under Different Parallel Computing Platforms.” International Journal of Geographical Information Science 28 (11): 2127–2144. doi:10.1080/13658816.2014.911300.
  • Sohl, T. L., K. L. Sayler, M. A. Bouchard, R. R. Reker, A. M. Friesz, S. L. Bennett, and B. M. Sleeter, et al. 2014. “Spatially Explicit Modeling of 1992–2100 Land Cover and Forest Stand Age for the Conterminous United States.” Ecological Applications 24 (5): 1015–1036. doi:10.1890/13-1245.1.
  • Su, C., W.-B. Yu, C.-J. Feng, C.-N. Yu, Z.-C. Huang, and X.-C. Zhang. 2015. “An Efficient Algorithm for Calculating Drainage Accumulation in Digital Elevation Models Based on the Basin Tree Index.” IEEE Geoscience and Remote Sensing Letters 12 (2): 424–428. doi:10.1109/LGRS.2014.2345561
  • Suchenwirth, L., W. Stümer, T. Schmidt, M. Förster, and B. Kleinschmit. 2014. “Large-Scale Mapping of Carbon Stocks in Riparian Forests with Self-Organizing Maps and the K-Nearest-Neighbor Algorithm.” Forests 5 (7): 1635–1652. doi:10.3390/f5071635.
  • Tian, J., Y. Huang, Z. Guo, X. Qi, Z. Chen, and T. Huang. 2015. “A Multi-Modal Topic Model for Image Annotation Using Text Analysis.” IEEE Signal Processing Letters 22 (7): 886–890. doi:10.1109/LSP.2014.2375341.
  • Torrens, P. M. 2014. “High-Fidelity Behaviours for Model People on Model Streetscapes.” Annals of GIS 20 (3): 139–157. doi:10.1080/19475683.2014.944933.
  • Tsatcha, D., É. Saux, and C. Claramunt. 2014. “A Bidirectional Path-Finding Algorithm and Data Structure for Maritime Routing.” International Journal of Geographical Information Science 28 (7): 1355–1377. doi:10.1080/13658816.2014.887087.
  • Zhang, X., R. C. Izaurralde, D. H. Manowitz, R. Sahajpal, T. O. West, A. M. Thomson, M. Xu, K. Zhao, S. D. LeDuc, and J. R. Williams. 2015. “Regional Scale Cropland Carbon Budgets: Evaluating a Geospatial Agricultural Modeling System Using Inventory Data.” Environmental Modelling & Software 63 (Jan.): 199–216. doi:10.1016/j.envsoft.2014.10.005.

Ontology/semantic web

  • Delgado, F., M. M. Martínez-González, and J. Finat. 2013. “An Evaluation of Ontology Matching Techniques on Geospatial Ontologies.” International Journal of Geographical Information Science 27 (12): 2279–2301. doi:10.1080/13658816.2013.812215.
  • Dowie, M. 2014. “What’s in a Name?” Earth Island Journal 29 (3): 40.
  • Fetveit, A. 2014. “Noise Matters: Towards an Ontology of Noise.” Screen 55 (3): 435–439. doi:10.1093/screen/hju025.
  • Han, J. G., H. Cao, A. Barb, S. W. Punyasena, C. Jaramillo, and C.-R. Shyu. 2014. “A Neotropical Miocene Pollen Database Employing Image-Based Search and Semantic Modeling.” Applications in Plant Sciences 2 (8): 1400030. doi:10.3732/apps.1400030.
  • Horsburgh, J. S., D. G. Tarboton, R. P. Hooper, and I. Zaslavsky. 2014. “Managing a Community Shared Vocabulary for Hydrologic Observations.” Environmental Modelling & Software 52 (Feb.): 62–73. doi:10.1016/j.envsoft.2013.10.012.
  • Kalbasi, R., K. Janowicz, F. Reitsma, L. Boerboom, and A. Alesheikh. 2014. “Collaborative Ontology Development for the Geosciences.” Transactions in GIS 18 (6): 834–851. doi:10.1111/tgis.12070.
  • Khan, A. H., and I. Porres. 2015. “Consistency of UML Class, Object and Statechart Diagrams Using Ontology Reasoners.” Journal of Visual Languages & Computing 26 (Nov.): 42–65. doi:10.1016/j.jvlc.2014.11.006.
  • Küçük, D., and Y. Arslan. 2014. “Semi-Automatic Construction of a Domain Ontology for Wind Energy Using Wikipedia Articles.” Renewable Energy 62 (Feb.): 484–489. doi:10.1016/j.renene.2013.08.002.
  • Lassiter, D., and N. D. Goodman. 2015. “How Many Kinds of Reasoning? Inference, Probability, and Natural Language Semantics.” Cognition 136 (Mar.): 123–134. doi:10.1016/j.cognition.2014.10.016.
  • Ma, X., J. G. Zheng, J. C. Goldstein, S. Zednik, L. Fu, B. Duggan, and S. M. Aulenbach, et al. 2014. “Ontology Engineering in Provenance Enablement for the National Climate Assessment.” Environmental Modelling & Software 61 (Nov.): 191–205. doi:10.1016/j.envsoft.2014.08.002.
  • Otero-Cerdeira, L., F. J. Rodríguez-Martínez, and A. Gómez-Rodríguez. 2014. “Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities.” Sensors (Basel, Switzerland) 14 (12): 23581–23619. doi:10.3390/s141223581.
  • Otero-Cerdeira, L., F. J. Rodríguez-Martínez, and A. Gómez-Rodríguez. 2015. “Ontology Matching: A Literature Review.” Expert Systems with Applications 42 (2): 949–971. doi:10.1016/j.eswa.2014.08.032.
  • Wang, W., and K. Stewart. 2015. “Spatiotemporal and Semantic Information Extraction from Web News Reports about Natural Hazards.” Computers, Environment and Urban Systems 50 (Mar.): 30–40. doi:10.1016/j.compenvurbsys.2014.11.001.

Photogrammetry

  • Irvine-Fynn, T. D. L., E. Sanz-Ablanedo, N. Rutter, M. W. Smith, and J. H. Chandler. 2014. “Measuring Glacier Surface Roughness Using Plot-Scale, Close-Range Digital Photogrammetry.” Journal of Glaciology 60 (223): 957–969. doi:10.3189/2014JoG14J032.

Projections

  • Battersby, S. E., M. P. Finn, E. L. Usery, and K. H. Yamamoto. 2014. “Implications of Web Mercator and Its Use in Online Mapping.” Cartographica: The International Journal for Geographic Information and Geovisualization 49 (2): 85–101. doi:10.3138/carto.49.2.2313.
  • Bauer-Marschallinger, B., D. Sabel, and W. Wagner. 2014. “Optimisation of Global Grids for High-Resolution Remote Sensing Data.” Computers & Geosciences 72 (Nov.): 84–93. doi:10.1016/j.cageo.2014.07.005.
  • Hu, H., X. Liu, and P. Hu. 2014. “Voronoi Diagram Generation on the Ellipsoidal Earth.” Computers & Geosciences 73 (Dec.): 81–87. doi:10.1016/j.cageo.2014.08.011.
  • Orlik, A., and L. Orlikova. 2014. “Current Trends in Formats and Coordinate Transformations of Geospatial Data — Based on MyGeoData Converter.” Central European Journal of Geosciences 6 (3): 354–362. doi:10.2478/s13533-012-0178-8.
  • Šavrič, B., and B. Jenny. 2014. “A New Pseudocylindrical Equal-Area Projection for Adaptive Composite Map Projections.” International Journal of Geographical Information Science 28 (12): 2373–2389. doi:10.1080/13658816.2014.924628.
  • Srivastava, S. K. 2014. “Techniques for Developing Resources to Understand Geographic and Projected Coordinate Systems.” Journal of Spatial Science 59 (1): 167–176. doi:10.1080/14498596.2014.845538.
  • Zhao, H., B. Zhang, C. Wu, Z. Zuo, Z. Chen, and J. Bi. 2014. “Direct Georeferencing of Oblique and Vertical Imagery in Different Coordinate Systems.” ISPRS Journal of Photogrammetry and Remote Sensing 95 (Jan.): 122–133. doi:10.1016/j.isprsjprs.2014.06.001.

Remote sensing

  • Ahmed, Z. 2014. “Evaluation of Landsat TM5 Multispectral Data for Automated Mapping of Surface Soil Texture and Organic Matter in GIS.” European Journal of Remote Sensing, Jul. 557–573. doi:10.5721/EuJRS20144731.
  • Akdim, N., S. Alfieri, A. Habib, A. Choukri, E. Cheruiyot, K. Labbassi, and M. Menenti. 2014. “Monitoring of Irrigation Schemes by Remote Sensing: Phenology versus Retrieval of Biophysical Variables.” Remote Sensing 6 (6): 5815–5851. doi:10.3390/rs6065815.
  • Aldabaa, A. A. A., D. C. Weindorf, S. Chakraborty, A. Sharma, and B. Li. 2015. “Combination of Proximal and Remote Sensing Methods for Rapid Soil Salinity Quantification.” Geoderma 239-240 (Feb.): 34–46. doi:10.1016/j.geoderma.2014.09.011.
  • Amri, R., M. Zribi, Z. Lili-Chabaane, C. Szczypta, J. Calvet, and G. Boulet. 2014. “FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations.” Remote Sensing 6 (6): 5387–5406. doi:10.3390/rs6065387.
  • Andrew, M. E., M. A. Wulder, and T. A. Nelson. 2014. “Potential Contributions of Remote Sensing to Ecosystem Service Assessments.” Progress in Physical Geography 38 (3): 328–353. doi:10.1177/0309133314528942.
  • Araújo, S. R., J. Wetterlind, J. A. M. Demattê, and B. Stenberg. 2014. “Improving the Prediction Performance of a Large Tropical Vis-NIR Spectroscopic Soil Library from Brazil by Clustering into Smaller Subsets or Use of Data Mining Calibration Techniques.” European Journal of Soil Science 65 (5): 718–729. doi:10.1111/ejss.12165.
  • Araújo, S. R., M. Söderström, J. Eriksson, C. Isendahl, P. Stenborg, and J. A. M. Demattê. 2015. “Determining Soil Properties in Amazonian Dark Earths by Reflectance Spectroscopy.” Geoderma 237-238 (Jan.): 308–317. doi:10.1016/j.geoderma.2014.09.014.
  • Asner, G. P., R. E. Martin, C. B. Anderson, and D. E. Knapp. 2015. “Quantifying Forest Canopy Traits: Imaging Spectroscopy versus Field Survey.” Remote Sensing of Environment 158 (Mar.): 15–27. doi:10.1016/j.rse.2014.11.011.
  • Beitsch, A., S. Kern, and L. Kaleschke. 2015. “Comparison of SSM/I and AMSR-E Sea Ice Concentrations With ASPeCt Ship Observations Around Antarctica.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 1985–1996. doi:10.1109/TGRS.2014.2351497.
  • Bode, C. A., M. P. Limm, M. E. Power, and J. C. Finlay. 2014. “Subcanopy Solar Radiation Model: Predicting Solar Radiation across a Heavily Vegetated Landscape Using LiDAR and GIS Solar Radiation Models.” Remote Sensing of Environment 154 (Nov.): 387–397. doi:10.1016/j.rse.2014.01.028.
  • Buler, J. J., and D. K. Dawson. 2014. “Radar Analysis of Fall Bird Migration Stopover Sites in the Northeastern U.S.” The Condor 116 (3): 357–370. doi:10.1650/CONDOR-13-162.1.
  • Cai, X., W. Gan, W. Ji, X. Zhao, X. Wang, and X. Chen. 2014. “Optimizing Remote Sensing-Based Level–Area Modeling of Large Lake Wetlands: Case Study of Poyang Lake.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–10. doi:10.1109/JSTARS.2014.2342742.
  • Cammalleri, C., G. Sepulcre-Cantó, and J. Vogt. 2014. “Combining Land Surface Models and Remote Sensing Data to Estimate Evapotranspiration for Drought Monitoring in Europe.” In Proc. SPIE 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, edited by C. M. U. Neale and A. Maltese, 923907. Amsterdam. doi:10.1117/12.2069578.
  • Campbell, J. F., B. Lin, A. R. Nehrir, F. W. Harrison, and M. D. Obland. 2014. “Super-Resolution Technique for CW Lidar Using Fourier Transform Reordering and Richardson-Lucy Deconvolution.” Optics Letters 39 (24): 6981–6984. doi:10.1364/OL.39.006981.
  • Carrino, T. A., A. P. Crosta, C. L. B. Toledo, A. M. Silva, and J. L. Silva. 2015. “Geology and Hydrothermal Alteration of the Chapi Chiara Prospect and Nearby Targets, Southern Peru, Using ASTER Data and Reflectance Spectroscopy.” Economic Geology 110 (1): 73–90. doi:10.2113/econgeo.110.1.73.
  • Chakrabarti, S., T. Bongiovanni, J. Judge, K. Nagarajan, and J. C. Principe. 2015. “Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study.” IEEE Transactions on Geoscience and Remote Sensing 53 (1): 85–101. doi:10.1109/TGRS.2014.2318699.
  • Chang, N.-B., S. Imen, and B. Vannah. 2015. “Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective.” Critical Reviews in Environmental Science and Technology 45 (2): 101–166. doi:10.1080/10643389.2013.829981.
  • Chapman, S., T. Merz, A. Chan, P. Jackway, S. Hrabar, M. Dreccer, E. Holland, B. Zheng, T. Ling, and J. Jimenez-Berni. 2014. “Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping.” Agronomy 4 (2): 279–301. doi:10.3390/agronomy4020279.
  • Chi, J., and M. M. Crawford. 2014. “Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (6): 2531–2539. doi:10.1109/JSTARS.2014.2319585.
  • Chuchvara, A., M. Georgiev, and A. Gotchev. 2014. “A Speed-Optimized RGB-Z Capture System with Improved Denoising Capabilities.” In Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, edited by K. O. Egiazarian, S. S. Agaian, and A. P. Gotchev, 90190F. San Francisco. doi:10.1117/12.2048564.
  • Danelichen, V. H. D. M., M. S. Biudes, M. C. Souza, N. G. Machado, B. B. Da Silva, and J. D. S. Nogueira. 2014. “Estimation of Soil Heat Flux in a Neotropical Wetland Region Using Remote Sensing Techniques.” Revista Brasileira De Meteorologia 29 (4): 469–482. doi:10.1590/0102-778620120568.
  • De Paul Obade, V., R. Lal, and R. Moore. 2014. “Assessing the Accuracy of Soil and Water Quality Characterization Using Remote Sensing.” Water Resources Management 28 (14): 5091–5109. doi:10.1007/s11269-014-0796-7.
  • Deery, D., J. Jimenez-Berni, H. Jones, X. Sirault, and R. Furbank. 2014. “Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping.” Agronomy 4 (3): 349–379. doi:10.3390/agronomy4030349.
  • Dempewolf, J., B. Adusei, I. Becker-Reshef, M. Hansen, P. Potapov, A. Khan, and B. Barker. 2014. “Wheat Yield Forecasting for Punjab Province from Vegetation Index Time Series and Historic Crop Statistics.” Remote Sensing 6 (10): 9653–9675. doi:10.3390/rs6109653.
  • Dipson, P. T., S. V. Chithra, A. Amarnath, S. V. Smitha, M. V. H. Nair, and A. Shahin. 2015. “Spatial Changes of Estuary in Ernakulam District, Southern India for Last Seven Decades, Using Multi-Temporal Satellite Data.” Journal of Environmental Management 148 (May): 134–142. doi:10.1016/j.jenvman.2014.02.021.
  • Dyess, J., and V. L. Hansen 2014. “Application of Lidar to Resolving Tectonic and Glacial Fabrics in Glaciated Terrain: An Example from an Archean Granite-Greenstone Belt, Northeastern Minnesota.” Geosphere 10 ( 5): 987–997. doi:10.1130/GES00984.1.
  • Eakins, B. W., and P. R. Grothe. 2014. “Challenges in Building Coastal Digital Elevation Models.” Journal of Coastal Research 297 (Sep.): 942–953. doi:10.2112/JCOASTRES-D-13-00192.1.
  • Edvardsson, J., R. Simanauskienė, J. Taminskas, I. Baužienė, and M. Stoffel. 2015. “Increased Tree Establishment in Lithuanian Peat Bogs - Insights from Field and Remotely Sensed Approaches.” The Science of the Total Environment 505 (Feb.): 113–120. doi:10.1016/j.scitotenv.2014.09.078.
  • Elkadiri, R., M. Sultan, A. M. Youssef, T. Elbayoumi, R. Chase, A. B. Bulkhi, and M. M. Al-Katheeri. 2014. “A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–18. doi:10.1109/JSTARS.2014.2337273.
  • Erdem, U., and A. C. Demirkesen. 2014. “Flooding and Earthquake Risk Interpretation for Kutahya Province, Turkey, Using ASTER DEM.” Journal of Geography and Geology 6 (3): 133–146. doi:10.5539/jgg.v6n3p133.
  • Feilhauer, H., C. Dahlke, D. Doktor, A. Lausch, S. Schmidtlein, G. Schulz, and S. Stenzel. 2014. “Mapping the Local Variability of Natura 2000 Habitats with Remote Sensing.” Applied Vegetation Science 17 (4): 765–779. doi:10.1111/avsc.12115.
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  • Shi, A., D. Q. Huynh, F. C. Huang, S. H. Shen, W. P. Lu, and Z. L. Ma. 2014. “Unsupervised Change Detection Based on Robust Chi-Squared Transform for Bitemporal Remotely Sensed Images.” International Journal of Remote Sensing 35 (21): 7555–7566. doi:10.1080/2150704X.2014.973998.
  • Smith, W. H. F., and R. Scharroo. 2015. “Waveform Aliasing in Satellite Radar Altimetry.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 1671–1682. doi:10.1109/TGRS.2014.2331193.
  • Song, H., G. Wang, and K. Zhang. 2014. “Multiple Change Detection for Multispectral Remote Sensing Images via Joint Sparse Representation.” Optical Engineering 53 (12): 123103. doi:10.1117/1.OE.53.12.123103.
  • Song, X.-P., C. Huang, J. Sexton, S. Channan, and J. Townshend. 2014. “Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover.” Remote Sensing 6 (9): 8878–8903. doi:10.3390/rs6098878.
  • Stepper, C., C. Straub, and H. Pretzsch. 2014. “Using Semi-Global Matching Point Clouds to Estimate Growing Stock at the Plot and Stand Levels: Application for a Broadleaf-Dominated Forest in Central Europe.” Canadian Journal of Forest Research, Oct., 111–123. doi:10.1139/cjfr-2014-0297.
  • Sun, K., X. Geng, and L. Ji. 2014. “An Efficient Unsupervised Band Selection Method Based on an Autocorrelation Matrix for a Hyperspectral Image.” International Journal of Remote Sensing 35 (21): 7458–7476. doi:10.1080/01431161.2014.968686.
  • Takashima, H., Y. Kanaya, and H. Irie. 2015. “Spatiotemporal Inhomogeneity in NO2 over Fukuoka Observed by Ground-Based MAX-DOAS.” Atmospheric Environment 100 (Jan.): 117–123. doi:10.1016/j.atmosenv.2014.10.057.
  • Teshebaeva, K., H. Sudhaus, H. Echtler, B. Schurr, and S. Roessner. 2014. “Strain Partitioning at the Eastern Pamir-Alai Revealed through SAR Data Analysis of the 2008 Nura Earthquake.” Geophysical Journal International 198 (2): 760–774. doi:10.1093/gji/ggu158.
  • Theilen-Willige, B., H. Malek, A. Charif, F. El Bchari, and M. Chaïbi. 2014. “Remote Sensing and GIS Contribution to the Investigation of Karst Landscapes in NW-Morocco.” Geosciences 4 (2): 50–72. doi:10.3390/geosciences4020050.
  • Tian, H., K. Banger, T. Bo, and V. K. Dadhwal. 2014. “History of Land Use in India during 1880– 2010:Large-ScaleLand Transformations Reconstructed from Satellite Data and Historical Archives.” Global and Planetary Change 121 (Oct.): 78–88. doi:10.1016/j.gloplacha.2014.07.005.
  • Tomar, V., V. P. Mandal, P. Srivastava, S. Patairiya, K. Singh, N. Ravisankar, N. Subash, and P. Kumar. 2014. “Rice Equivalent Crop Yield Assessment Using MODIS Sensors’ Based MOD13A1-NDVI Data.” IEEE Sensors Journal 14 (10): 3599–3605. doi:10.1109/JSEN.2014.2329185
  • Uddin, K., H. L. Shrestha, M. S. R. Murthy, B. Bajracharya, B. Shrestha, H. Gilani, S. Pradhan, and B. Dangol. 2015. “Development of 2010 National Land Cover Database for the Nepal.” Journal of Environmental Management 148 (Aug.): 82–90. doi:10.1016/j.jenvman.2014.07.047
  • Vahmani, P., and T. S. Hogue. 2014. “High Resolution Land Surface Modeling Utilizing Remote Sensing Parameters and the Noah-UCM: A Case Study in the Los Angeles Basin.” Hydrology and Earth System Sciences Discussions 11 (7): 7469–7511. doi:10.5194/hessd-11-7469-2014
  • Van Der Meer, F., C. Hecker, F. Van Ruitenbeek, H. Van Der Werff, C. De Wijkerslooth, and C. Wechsler. 2014. “Geologic Remote Sensing for Geothermal Exploration: A Review.” International Journal of Applied Earth Observation and Geoinformation 33 (Dec.): 255–269. doi:10.1016/j.jag.2014.05.007.
  • Vannier, C., and L. Hubert-Moy. 2014. “Multiscale Comparison of Remote-Sensing Data for Linear Woody Vegetation Mapping.” International Journal of Remote Sensing 35 (21): 7376–7399. doi:10.1080/01431161.2014.968683.
  • Vivone, G., M. Simoes, M. D. Mura, R. Restaino, J. M. Bioucas-Dias, G. A. Licciardi, and J. Chanussot. 2015. “Pansharpening Based on Semiblind Deconvolution.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 1997–2010. doi:10.1109/TGRS.2014.2351754.
  • Vuyovich, C. M., J. M. Jacobs, and S. F. Daly. 2014. “Comparison of Passive Microwave and Modeled Estimates of Total Watershed SWE in the Continental United States.” Water Resources Research 50 (11): 9088–9102. doi:10.1002/2013WR014734.
  • Wallace, L., A. Lucieer, and C. S. Watson. 2014. “Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data.” IEEE Transactions on Geoscience and Remote Sensing 52 (12): 7619–7628. doi:10.1109/TGRS.2014.2315649.
  • Wang, Q., P. M. Atkinson, and W. Shi. 2015. “Fast Subpixel Mapping Algorithms for Subpixel Resolution Change Detection.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 1692–1706. doi:10.1109/TGRS.2014.2346535.
  • Wang, Y., S. Wang, S. Yang, L. Zhang, H. Zeng, and D. Zheng. 2014. “Using a Remote Sensing Driven Model to Analyze Effect of Land Use on Soil Moisture in the Weihe River Basin, China.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (9): 3892–3902. doi:10.1109/JSTARS.2014.2345743.
  • Wardlow, B. D., and K. Callahan. 2014. “A Multi-Scale Accuracy Assessment of the MODIS Irrigated Agriculture Data-Set (MIrAD) for the State of Nebraska, USA.” GIScience & Remote Sensing 51 (5): 575–592. doi:10.1080/15481603.2014.952546.
  • Whitehead, K., and C. H. Hugenholtz. 2014. “Remote Sensing of the Environment with Small Unmanned Aircraft Systems (UASs), Part 1: A Review of Progress and Challenges 1.” Journal of Unmanned Vehicle Systems 02 (03): 69–85. doi:10.1139/juvs-2014-0006.
  • Wickama, J., R. Masselink, and G. Sterk. 2015. “The Effectiveness of Soil Conservation Measures at a Landscape Scale in the West Usambara Highlands, Tanzania.” Geoderma 241-242 (Mar.): 168–179. doi:10.1016/j.geoderma.2014.11.020.
  • Wu, J., Z. Li, Z. Gao, B. Wang, L. Bai, B. Sun, C. Li, and X. Ding. 2015. “Degraded Land Detection by Soil Particle Composition Derived from Multispectral Remote Sensing Data in the Otindag Sandy Lands of China.” Geoderma 241-242 (Mar.): 97–106. doi:10.1016/j.geoderma.2014.11.011.
  • Wu, J.-L., C.-R. Ho, -C.-C. Huang, A. L. Srivastav, J.-H. Tzeng, and Y.-T. Lin. 2014. “Hyperspectral Sensing for Turbid Water Quality Monitoring in Freshwater Rivers: Empirical Relationship between Reflectance and Turbidity and Total Solids.” Sensors (Basel, Switzerland) 14 (12): 22670–22688. doi:10.3390/s141222670.
  • Wu, W., A. S. Mhaimeed, W. M. Al-Shafie, F. Ziadat, B. Dhehibi, V. Nangia, and E. De Pauw. 2014. “Mapping Soil Salinity Changes Using Remote Sensing in Central Iraq.” Geoderma Regional 2-3 (Nov.): 21–31. doi:10.1016/j.geodrs.2014.09.002.
  • Wu, X., and S. Li. 2014. “Automatic Sea Fog Detection over Chinese Adjacent Oceans Using Terra/MODIS Data.” International Journal of Remote Sensing 35 (21): 7430–7457. doi:10.1080/01431161.2014.968685.
  • Wylie, B., M. Rigge, B. Brisco, K. Murnaghan, J. Rover, and J. Long. 2014. “Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest.” Remote Sensing 6 (10): 9145–9169. doi:10.3390/rs6109145.
  • Xin, Q., M. Broich, A. E. Suyker, L. Yu, and P. Gong. 2015. “Multi-Scale Evaluation of Light Use Efficiency in MODIS Gross Primary Productivity for Croplands in the Midwestern United States.” Agricultural and Forest Meteorology 201 (Feb.): 111–119. doi:10.1016/j.agrformet.2014.11.004.
  • Yan, W. Y., A. Shaker, and N. El-Ashmawy. 2015. “Urban Land Cover Classification Using Airborne LiDAR Data: A Review.” Remote Sensing of Environment 158 (Mar.): 295–310. doi:10.1016/j.rse.2014.11.001.
  • Yang, P., D. P. Ames, A. Fonseca, D. Anderson, R. Shrestha, N. F. Glenn, and Y. Cao. 2014. “Impact of LiDAR-Derived DEM Resolution on Hydrographic Features and Hydrologic Modeling.” In 7th International Congress on Environmental Modelling and Software, 1–8. doi:10.13140/2.1.1285.9525.
  • Zhang, C. 2014. “Combining Hyperspectral and Lidar Data for Vegetation Mapping in the Florida Everglades.” Photogrammetric Engineering & Remote Sensing 80 (8): 733–743. doi:10.14358/PERS.80.8.733.
  • Zhang, G., S. Ganguly, R. R. Nemani, M. A. White, C. Milesi, H. Hashimoto, W. Wang, S. Saatchi, Y. Yu, and R. B. Myneni. 2014. “Estimation of Forest Aboveground Biomass in California Using Canopy Height and Leaf Area Index Estimated from Satellite Data.” Remote Sensing of Environment 151 (Aug.): 44–56. doi:10.1016/j.rse.2014.01.025.
  • Zhang, X., D. Pan, J. Chen, J. Zhao, Q. Zhu, and H. Huang. 2014. “Evaluation of Coastline Changes under Human Intervention Using Multi-Temporal High-Resolution Images: A Case Study of the Zhoushan Islands, China.” Remote Sensing 6 (10): 9930–9950. doi:10.3390/rs6109930.
  • Zhang, C., D. Walters, and J. M. Kovacs. 2014. “Applications of Low Altitude Remote Sensing in Agriculture upon Farmers’ Requests- A Case Study in Northeastern Ontario, Canada.” PloS One 9 (11): e112894. doi:10.1371/journal.pone.0112894.
  • Zheng, B., S. W. Myint, P. S. Thenkabail, and R. M. Aggarwal. 2015. “A Support Vector Machine to Identify Irrigated Crop Types Using Time-Series Landsat NDVI Data.” International Journal of Applied Earth Observation and Geoinformation 34 (Feb.): 103–112. doi:10.1016/j.jag.2014.07.002.
  • Zhong, Y., W. Liu, J. Zhao, and L. Zhang. 2015. “Change Detection Based on Pulse-Coupled Neural Networks and the NMI Feature for High Spatial Resolution Remote Sensing Imagery.” IEEE Geoscience and Remote Sensing Letters 12 (3): 537–541. doi:10.1109/LGRS.2014.2349937.

Urban systems

  • Ackley, J. W., J. Wu, M. J. Angilletta, S. W. Myint, and B. Sullivan. 2015. “Rich Lizards: How Affluence and Land Cover Influence the Diversity and Abundance of Desert Reptiles Persisting in an Urban Landscape.” Biological Conservation 182 (Feb.): 87–92. doi:10.1016/j.biocon.2014.11.009.
  • Bagieński, Z. 2014. “Traffic Air Quality Index.” The Science of the Total Environment 505C (Oct.): 606–614. doi:10.1016/j.scitotenv.2014.10.041.
  • Barbosa, L., K. Pham, C. Silva, M. R. Vieira, and J. Freire. 2014. “Structured Open Urban Data: Understanding the Landscape.” Big Data 2 (3): 144–154. doi:10.1089/big.2014.0020.
  • Bassens, D., and M. Van Meeteren. 2014. “World Cities under Conditions of Financialized Globalization: Towards an Augmented World City Hypothesis.” Progress in Human Geography, Dec. doi:10.1177/0309132514558441.
  • Berger, T., C. Amann, H. Formayer, A. Korjenic, B. Pospichal, C. Neururer, and R. Smutny. 2014. “Impacts of Urban Location and Climate Change upon Energy Demand of Office Buildings in Vienna, Austria.” Building and Environment 81 (Nov.): 258–269. doi:10.1016/j.buildenv.2014.07.007.
  • Bulatov, D., G. Häufel, J. Meidow, M. Pohl, P. Solbrig, and P. Wernerus. 2014. “Context-Based Automatic Reconstruction and Texturing of 3D Urban Terrain for Quick-Response Tasks.” ISPRS Journal of Photogrammetry and Remote Sensing 93 (Jul.): 157–170. doi:10.1016/j.isprsjprs.2014.02.016.
  • Cetinkaya, S., M. Basaraner, and D. Burghardt. 2014. “Proximity-Based Grouping of Buildings in Urban Blocks: A Comparison of Four Algorithms.” Geocarto International, Jun., 1–15. doi:10.1080/10106049.2014.925002.
  • Chakraborty, S. D., Y. Kant, and D. Mitra. 2015. “Assessment of Land Surface Temperature and Heat Fluxes over Delhi Using Remote Sensing Data.” Journal of Environmental Management 148 (Dec.): 143–152. doi:10.1016/j.jenvman.2013.11.034.
  • Chen, A., X. A. Yao, R. Sun, and L. Chen. 2014. “Effect of Urban Green Patterns on Surface Urban Cool Islands and Its Seasonal Variations.” Urban Forestry & Urban Greening 13 (4): 646–654. doi:10.1016/j.ufug.2014.07.006.
  • Finka, M., and T. Kluvánková. 2015. “Managing Complexity of Urban Systems: A Polycentric Approach.” Land Use Policy 42 (Jan.): 602–608. doi:10.1016/j.landusepol.2014.09.016
  • Freestone, R. 2015. “Peter Hall’s Planning History.” Planning Perspectives 30 (1): 11–15. doi:10.1080/02665433.2014.965724.
  • Freitas, S., C. Catita, P. Redweik, and M. C. Brito. 2015. “Modelling Solar Potential in the Urban Environment: State-of-the-Art Review.” Renewable and Sustainable Energy Reviews 41 (Jan.): 915–931. doi:10.1016/j.rser.2014.08.060.
  • Hedman, L., D. Manley, M. Van Ham, and J. Osth. 2015. “Cumulative Exposure to Disadvantage and the Intergenerational Transmission of Neighbourhood Effects.” Journal of Economic Geography 15 (1): 195–215. doi:10.1093/jeg/lbt042.
  • Hesse, M. 2014. “Retheorizing Urban Geography: Mutual Relationships between English- and German-Speaking Communities.” Social & Cultural Geography, Sep., 1–19. doi:10.1080/14649365.2014.959548.
  • Ho, H. C., A. Knudby, P. Sirovyak, Y. Xu, M. Hodul, and S. B. Henderson. 2014. “Mapping Maximum Urban Air Temperature on Hot Summer Days.” Remote Sensing of Environment 154 (Nov.): 38–45. doi:10.1016/j.rse.2014.08.012.
  • Klonner, C., C. Barron, P. Neis, and B. Höfle. 2014. “Updating Digital Elevation Models via Change Detection and Fusion of Human and Remote Sensor Data in Urban Environments.” International Journal of Digital Earth, Feb., 1–19. doi:10.1080/17538947.2014.881427.
  • Liu, Y., L. Dai, and H. Xiong. 2014. “Simulation of Urban Expansion Patterns by Integrating Auto-Logistic Regression, Markov Chain and Cellular Automata Models.” Journal of Environmental Planning and Management, Jun., 1–24. doi:10.1080/09640568.2014.916612.
  • Liu, Y., Y. Feng, and R. Pontius. 2014. “Spatially-Explicit Simulation of Urban Growth through Self-Adaptive Genetic Algorithm and Cellular Automata Modelling.” Land 3 (3): 719–738. doi:10.3390/land3030719.
  • Lubida, A., P. Pilesjö, M. Espling, and M. Runnström. 2014. “Applying the Theory of Planned Behavior to Explain Geospatial Data Sharing for Urban Planning and Management: Cases from Urban Centers in Tanzania.” African Geographical Review, Mar., 1–17. doi:10.1080/19376812.2014.892433.
  • Ma, Q., C. He, J. Wu, Z. Liu, Q. Zhang, and Z. Sun. 2014. “Quantifying Spatiotemporal Patterns of Urban Impervious Surfaces in China: An Improved Assessment Using Nighttime Light Data.” Landscape and Urban Planning 130 (Oct.): 36–49. doi:10.1016/j.landurbplan.2014.06.009.
  • Marull, J., C. Font, and R. Boix. 2015. “Modelling Urban Networks at Mega-Regional Scale: Are Increasingly Complex Urban Systems Sustainable?” Land Use Policy 43 (Feb.): 15–27. doi:10.1016/j.landusepol.2014.10.014.
  • Meesuk, V., Z. Vojinovic, A. E. Mynett, and A. F. Abdullah. 2015. “Urban Flood Modelling Combining Top-View LiDAR Data with Ground-View SfM Observations.” Advances in Water Resources 75 (Jan.): 105–117. doi:10.1016/j.advwatres.2014.11.008.
  • Meng, L., W. Graus, E. Worrell, and B. Huang. 2014. “Estimating CO2 (carbon Dioxide) Emissions at Urban Scales by DMSP/OLS (Defense Meteorological Satellite Program’s Operational Linescan System) Nighttime Light Imagery: Methodological Challenges and a Case Study for China.” Energy 71 (Jul.): 468–478. doi:10.1016/j.energy.2014.04.103.
  • Mohan, M., and A. Kandya. 2014. “Impact of Urbanization and Land-Use/land-Cover Change on Diurnal Temperature Range: A Case Study of Tropical Urban Airshed of India Using Remote Sensing Data.” The Science of the Total Environment 506-507C (Nov.): 453–465. doi:10.1016/j.scitotenv.2014.11.006.
  • Pan, F., and Y. Xia. 2014. “Location and Agglomeration of Headquarters of Publicly Listed Firms within China’s Urban System.” Urban Geography 35 (5): 757–779. doi:10.1080/02723638.2014.909112.
  • Pontikakos, C. M., D. C. Kontodimas, and T. Tsiligiridis. 2015. “A Location Aware System for Integrated Management of Rhynchophorus Ferrugineus in Urban Systems.” Computers, Environment and Urban Systems 50 (Mar.): 74–88. doi:10.1016/j.compenvurbsys.2014.11.005.
  • Quintana, I. S. L. 2015. “Making Do, Making Home: Borders and the Worlds of Chinatown and Sonoratown in Early Twentieth-Century Los Angeles.” Journal of Urban History 41 (1): 47–74. doi:10.1177/0096144214537200.
  • Raciti, S. M., L. R. Hutyra, and J. D. Newell. 2014. “Mapping Carbon Storage in Urban Trees with Multi-Source Remote Sensing Data: Relationships between Biomass, Land Use, and Demographics in Boston Neighborhoods.” The Science of the Total Environment 500-501 (Dec.): 72–83. doi:10.1016/j.scitotenv.2014.08.070.
  • Scott, D., G. Petropoulos, J. Moxley, and H. Malcolm. 2014. “Quantifying the Physical Composition of Urban Morphology throughout Wales Based on the Time Series (1989–2011) Analysis of Landsat TM/ETM+ Images and Supporting GIS Data.” Remote Sensing 6 (12): 11731–11752. doi:10.3390/rs61211731.
  • Singleton, A. D., and S. E. Spielman. 2014. “The Past, Present and Future of Geodemographic Research in the United States and United Kingdom.” The Professional Geographer : The Journal of the Association of American Geographers 66 (4): 558–567. doi:10.1080/00330124.2013.848764.
  • Somers, K. A., E. S. Bernhardt, J. B. Grace, B. A. Hassett, E. B. Sudduth, S. Wang, and D. L. Urban. 2013. “Streams in the Urban Heat Island: Spatial and Temporal Variability in Temperature.” Freshwater Science 32 (1): 309–326. doi:10.1899/12-046.1.
  • Van Hove, L. W. A., C. M. J. Jacobs, B. G. Heusinkveld, J. A. Elbers, B. L. Van Driel, and A. A. M. Holtslag. 2015. “Temporal and Spatial Variability of Urban Heat Island and Thermal Comfort within the Rotterdam Agglomeration.” Building and Environment 83 (Jan.): 91–103. doi:10.1016/j.buildenv.2014.08.029.
  • Wagner, J., and G. Casuccio. 2014. “Spectral Imaging and Passive Sampling to Investigate Particle Sources in Urban Desert Regions.” Environmental Science: Processes & Impacts 16 (7). 1745–1753. doi:10.1039/c4em00123k.
  • Wurm, M., P. D Angelo, P. Reinartz, and H. Taubenbock. 2014. “Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–15. doi:10.1109/JSTARS.2014.2346655.
  • Xu, L.-Y., H. Yin, and X.-D. Xie. 2014. “Health Risk Assessment of Inhalable Particulate Matter in Beijing Based on the Thermal Environment.” International Journal of Environmental Research and Public Health 11 (12): 12368–12388. doi:10.3390/ijerph111212368.
  • Yang, X., W. Yue, H. Xu, J. Wu, and Y. He. 2014. “Environmental Consequences of Rapid Urbanization in Zhejiang Province, East China.” International Journal of Environmental Research and Public Health 11 (7): 7045–7059. doi:10.3390/ijerph110707045.
  • Yin, C., Y. Shi, H. Wang, and J. Wu. 2014. “Disaggregation of an Urban Population with M_IDW Interpolation and Building Information.” Journal of Urban Planning and Development, (Feb.): 04014012. doi:10.1061/(ASCE)UP.1943-5444.0000197

Visualization

  • Andrienko, G., S. I. Fabrikant, A. L. Griffin, J. Dykes, and J. Schiewe. 2014. “GeoViz: Interactive Maps That Help People Think.” International Journal of Geographical Information Science 28 (10): 2009–2012. doi:10.1080/13658816.2014.937719.
  • Arribas-Gil, A., and J. Romo. 2014. “Shape Outlier Detection and Visualization for Functional Data: The Outliergram.” Biostatistics 15 (4): 603–619. doi:10.1093/biostatistics/kxu006.
  • Bleisch, S., and J. Dykes. 2014. “Quantitative Data Graphics in 3D Desktop-Based Virtual Environments – an Evaluation.” International Journal of Digital Earth, Jun., 1–17. doi:10.1080/17538947.2014.927536.
  • Borin, L., D. Dannells, and L.-J. Olsson. 2014. “Geographic Visualization of Place Names in Swedish Literary Texts.” Literary and Linguistic Computing 29 (3): 400–404. doi:10.1093/llc/fqu021.
  • Durão, R., T. Wei, K. Henneke, K. M. Balch, M. Hill, and R. Rayl. 2014. “Visualizing the Data Visualization Network: The DVMap Project.” In 2nd Annual International Interdisciplinary Conference, AIIC, 232–241. Azores. doi:10.13140/2.1.1427.3929.
  • Fisher-Gewirtzman, D., and A. Natapov. 2014. “Different Approaches of Visibility Analyses Applied on Hilly Urban Environment.” Survey Review 46 (338): 366–382. doi:10.1179/1752270614Y.0000000117.
  • Hildebrandt, D. 2014. “A Software Reference Architecture for Service-Oriented 3D Geovisualization Systems.” ISPRS International Journal of Geo-Information 3 (4): 1445–1490. doi:10.3390/ijgi3041445.
  • Hoferlin, B., M. Hoferlin, G. Heidemann, and D. Weiskopf. 2015. “Scalable Video Visual Analytics.” Information Visualization 14 (1): 10–26. doi:10.1177/1473871613488571.
  • Janicki, J., C. Guo, M. Conway, R. Donohue, and R. E. Roth. 2014. “Weevil Viewer: An Interactive Mapping Application for Geographic and Phenological Exploration of Wisconsin’s Primitive Weevils.” Journal of Maps 10 (2): 289–296. doi:10.1080/17445647.2014.891266.
  • Keon, D., B. Steinberg, H. Yeh, C. M. Pancake, and D. Wright. 2014. “Web-Based Spatiotemporal Simulation Modeling and Visualization of Tsunami Inundation and Potential Human Response.” International Journal of Geographical Information Science 28 (5): 987–1009. doi:10.1080/13658816.2013.875548.
  • Kim, H.-W., D.-S. Kim, Y.-W. Lee, and J.-S. Ahn. 2014. “3-D Geovisualization of Satellite Images on Smart Devices by the Integration of Spatial DBMS, RESTful API and WebGL.” Geocarto International, Mar., 1–19. doi:10.1080/10106049.2014.888485.
  • Lonergan, C., and N. Hedley. 2014. “Flexible Mixed Reality and Situated Simulation as Emerging Forms of Geovisualization.” Cartographica: The International Journal for Geographic Information and Geovisualization 49 (3): 175–187. doi:10.3138/carto.49.3.2440.
  • Malik, A., R. Maciejewski, Y. Jang, S. Oliveros, Y. Yang, B. Maule, M. White, and D. S. Ebert. 2014. “A Visual Analytics Process for Maritime Response, Resource Allocation and Risk Assessment.” Information Visualization 13 (2): 93–110. doi:10.1177/1473871612460991.
  • Nakaya, T. 2013. “Analytical Data Transformations in Space—Time Region: Three Stories of Space—Time Cube.” Annals of the Association of American Geographers 103 (5): 1100–1106. doi:10.1080/00045608.2013.792184.
  • Plumejeaud, C., E. Grosso, and B. Parent. 2014. “Dissemination and Geovisualization of Territorial Entities’ History.” Journal of Spatial Information Science 8 (8): 73–93. doi:10.5311/JOSIS.2014.8.119.
  • Prà, E. D., and M. Mastronunzio. 2014. “Rectify the River, Rectify the Map. Geometry and Geovisualization of Adige River Hydro-Topographic Historical Maps.” E-Perimetron 9 (3): 113–128.
  • Ricker, B., S. Daniel, and N. Hedley. 2014. “Fuzzy Boundaries: Hybridizing Location-Based Services, Volunteered Geographic Information and Geovisualization Literature.” Geography Compass 8 (7): 490–504. doi:10.1111/gec3.12138.
  • Rios, J., P. Hogan, T. Gaskins, and D. Collins. 2014. “Open Source, 3-D Terrain Visualization on a Mobile Device.” In Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd, 8C5–1 – 8C5–8. Colorado Springs, CO. doi:10.1109/DASC.2014.6979542.
  • Rød, J. K., T. Opach, and T.-S. Neset. 2014. “Three Core Activities toward a Relevant Integrated Vulnerability Assessment: Validate, Visualize, and Negotiate.” Journal of Risk Research, Jun., 1–19. doi:10.1080/13669877.2014.923027.
  • Romañach, S. S., M. McKelvy, C. Conzelmann, and K. Suir. 2014. “A Visualization Tool to Support Decision Making in Environmental and Biological Planning.” Environmental Modelling & Software 62 (Dec.): 221–229. doi:10.1016/j.envsoft.2014.09.008.
  • Sanderson, M. J. 2014. “Ceiba: Scalable Visualization of Phylogenies and 2D/3D Image Collections.” Bioinformatics (Oxford, England) 30 (17): 2506–2507. doi:10.1093/bioinformatics/btu315.
  • Schimpf, L., and W. Gossel. 2014. “From Registration to Visualization of Geological Data with MO2GEO: Applications of the FieldModule, Interpolation Methods, and Computer Visualization.” Environmental Earth Sciences 72 (10): 3869–3879. doi:10.1007/s12665-014-3114-z.
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