Investigating behavioural and computational approaches for defining imprecise regions

References

• Arampatzis, A., van Kreveld, M., Reinbacher, I., Jones, C. B., Vaid, S., Clough, P., … Sanderson, M. (2006). Web based delineation of imprecise regions. Computers, Environment and Urban Systems, 30(4), 436–459. doi:10.1016/j.compenvurbsys.2005.08.001
   Web of Science ®Google Scholar
• Bettencourt, L. M. (2013). The origins of scaling in cities. Science, American Association for the Advancement of Science, 340, 1438–1441. doi:10.1126/science.1235823
   Google Scholar
• Brindley, P. (2016) Generating vague geographic information through data mining of passive web data. Thesis (PhD). School of Computer Science, The University of Nottingham, UK.
   Google Scholar
• Brindley, P., Goulding, J., & Wilson, M. L. (2017). Generating vague neighbourhoods through data mining of passive web data. International Journal of Geographical Information Science, 32 (3):498–523. doi: 10.1080/13658816.2017.1400549
   Web of Science ®Google Scholar
• Brunsdon, C. (1995). Estimating probability surfaces for geographical point data: An adaptive kernel algorithm. Computers & Geosciences, 21(7), 877–894. doi:10.1016/0098-3004(95)00020-9
   Web of Science ®Google Scholar
• Burrough, P. (1996). Geographic Objects with Indeterminate Boundaries. chapter Natural Objects with Indeterminate Boundaries. 3–28. Taylor and Francis.
   Google Scholar
• Carletta, J. (1996). Assessing agreement on classification tasks: The kappa statistic. Computational Linguistics, 22(2), 249–254.
   Web of Science ®Google Scholar
• Chen, J., & Shaw, S. L. (2016). Representing the spatial extent of places based on flickr photos with a representativeness-weighted kernel density estimation. J. A. Miller, D. O’Sullivan, & N. Wiegand. Eds., Geographic information science: 9th international conference, GIScience 2016. Montreal, QC, Canada: September 27–30, 2016. Proceedings (pp. 130–144).
   Google Scholar
• Cioffi-Revilla, C. (2017). Computation and social science. In Introduction to computational social science. texts in computer science. Cham: Springer.
   Google Scholar
• Couclelis, H. (2003). The certainty of uncertainty: GIS and the limits of geographic knowledge. Transactions in GIS, 7(2), 165–175. doi:10.1111/tgis.2003.7.issue-2
   Google Scholar
• Davies, C., Holt, I., Green, J., Harding, J., & Diamond, L. (2009). User needs and implications for modelling vague named places. Spatial Cognition & Computation, 9(3), 174–194. doi:10.1080/13875860903121830
   Web of Science ®Google Scholar
• Evans, A. J., & Waters, T. (2007). Mapping vernacular geography: Web-based GIS tools for capturing ‘fuzzy’ or ‘vague’ entities. International Journal of Technology, Policy and Management, 7(2), 134–150. doi:10.1504/IJTPM.2007.014547
   Google Scholar
• Fisher, P. (2000). Sorites paradox and vague geographies. Fuzzy Sets and Systems, 113(1), 7–18. doi:10.1016/S0165-0114(99)00009-3
   Web of Science ®Google Scholar
• Fisher, P. (2004). Where is Helvellyn? Fuzziness of multi-scale landscape morphometry. Transactions of the Institute of British Geographers, 29(1), 106–128. doi:10.1111/j.0020-2754.2004.00117.x
   Web of Science ®Google Scholar
• Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378–382. doi:10.1037/h0031619
   Google Scholar
• Frank, A. U. (1996). Geographic objects with indeterminate boundaries. chapter The Prevalence of Objects with Sharp Boundaries in GIS. 29–40. Taylor and Francis.
   Google Scholar
• Gao, S., Janowicz, K., Montello, D. R., Hu, Y., Yang, J.-A., McKenzie, G., … Yan, B. (2017). A data-synthesis-driven method for detecting and extracting vague cognitive regions. International Journal of Geographical Information Science, 31(6), 1245–1271.
   Web of Science ®Google Scholar
• Glasersfeld, E. V. (1996). Radikaler Konstruktivismus: Ideen, Ergebnisse, Probleme. Frankfurt am Main: Suhrkamp.
   Google Scholar
• Goodchild, M. F. (2000). GIS and transportation: Status and challenges. Geoinformatica, 4(2), 127–139. doi:10.1023/A:1009867905167
   Google Scholar
• Goodchild, M. F. (2007). Citizens as sensors: The world of volunteered geography. GeoJournal, 69(4), 211–221. doi:10.1007/s10708-007-9111-y
   Google Scholar
• Harpring, P. (1997). Proper words in proper places: The thesaurus of geographical names. MDA Information, 2(3), 5–12.
   Google Scholar
• Hill, L., Frew, J., & Zheng, Q. (1999). Geographic names. The implementation of a gazetteer in a georeferenced digital library. D-Lib Magazine, 5(1). Available online. doi: 10.1045/dlib.magazine.
   Google Scholar
• Hollenstein, L. (2008). Capturing Vernacular Geography from Georeferenced Tags. MSc thesis: University of Zurich
   Google Scholar
• Hollenstein, L., & Purves, R. (2010). Exploring place through user-generated content: Using Flickr tags to describe city cores. Journal of Spatial Information Science, 1(2010), 21–48.
   Google Scholar
• Jones, C. B., Purves, R. S., Clough, P. D., & Joho, H. (2008). Modelling vague places with knowledge from the web. International Journal of Geographical Information Science, 22(10), 1045–1065. doi:10.1080/13658810701850547
   Web of Science ®Google Scholar
• Landis, R. J., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. doi:10.2307/2529310
   PubMed Web of Science ®Google Scholar
• Li, L., & Goodchild, M. F. (2012). Constructing places from spatial footprints. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowd sourced and Volunteered Geographic Information - GEOCROWD ’12, 15–21.
   Google Scholar
• Lüscher, P., & Weibel, R. (2013). Exploiting empirical knowledge for automatic delineation of city centres from large-scale topographic databases. Computers, Environment and Urban Systems, 37(1), 18–34. doi:10.1016/j.compenvurbsys.2012.07.001
   Google Scholar
• Mackaness, W. A., & Chaudhry, O. Z. (2011). Automatic classification of retail spaces from a large scale topographic database. Transactions in GIS, 15(3), 291–307. doi:10.1111/j.1467-9671.2011.01259.x
   Web of Science ®Google Scholar
• Masucci, A. P., Arcaute, E., Hatna, E., Stanilov, K., & Batty, M. On the problem of boundaries and scaling for urban street networks. Journal of the Royal Society Interface, the Royal Society, 12(111), Available online. http://rsif.royalsocietypublishing.org/content/12/111/20150763.long.
   PubMed Web of Science ®Google Scholar
• Montello, D., Friedman, A., & Phillips, D. (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
   Web of Science ®Google Scholar
• Montello, D. R., Goodchild, M. F., Gottsegen, J., & Fohl, P. (2003). Where’s downtown?: Behavioral methods for determining referents of vague spatial queries. Spatial Cognition and Computation, 3, 185–204. doi: 10.1080/13875868.2003.9683761
   Google Scholar
• O’Sullivan, D., & Unwin, D. (2002). Geographic information analysis. Wiley.
   Google Scholar
• Piaget, J. P., & Inhelder, B. (1948). Die Entwicklung des räumlichen Denkens beim Kinde, volume 6 of Gesammelte Werke, Studienausgabe. Klett-Cotta, Stuttgart, 3. auflage, 1999 edition. translated from the French original “La representation de l’esapace chez l’enfants” by Heipcke, R.
   Google Scholar
• Purves, R., Clough, P., & Joho, H. (2005). Identifying imprecise regions for geographic information retrieval using the web. In GIS Research UK 13th Annual Conference.
   Google Scholar
• Purves, R. S., Clough, P., Jones, C. B., Arampatzis, A., Bucher, B., Finch, D., … Yang, B. (2007). The design and implementation of SPIRIT: A spatially aware search engine for information retrieval on the Internet. International Journal of Geographical Information Science, 21(7), 717–745. doi:10.1080/13658810601169840
   Web of Science ®Google Scholar
• Robinson, A. I., Carnes, F., & Oreskovic, N. M. (2016). Spatial analysis of crime incidence and adolescent physical activity. Preventive Medicine, 85, 74–77. doi:10.1016/j.ypmed.2016.01.012
   PubMed Web of Science ®Google Scholar
• Schockaert, S. (2011). Vague regions in geographic information retrieval. SigSpatial Special, 3(2), 24–28. doi:10.1145/2047296
   Google Scholar
• Schockaert, S., Cock, M. D., & Kerre, E. E. (2005). Automatic acquisition of fuzzy footprints. volume 3762 of LNCS. In On the move to meaningful internet systems 2005: otm 2005 workshops, OTM confederated international workshops and posters (SeBGIS 2005) (pp. 1077–1086). Springer.
   Google Scholar
• Schockaert, S., & De Cock, M. (2007). Neighborhood restrictions in geographic IR. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR ’07, 167.
   Google Scholar
• [Silverman, 1986] Silverman B. (1986). Density estimation: For statistics and data analysis. Chapman and Hall, London.
   Google Scholar
• Spelke, E. S. (1990). Principles of object perception. Cognitive Science, 14, 29–56. doi:10.1207/s15516709cog1401_3
   Web of Science ®Google Scholar
• Tezuka, T., & Tanaka, K. (2005). Landmark extraction: A web mining approach, In A. G. Cohn & M. D., editors, Conference on Spatial Information Theory - COSIT 2005, volume 3693 of LNCS, Springer, 379–396.
   Google Scholar
• Thurstain-Goodwin, M., & Unwin, D. (2000). Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations. Transactions in GIS, 4(4), 305–317. doi:10.1111/1467-9671.00058
   Google Scholar
• Twaroch, F. A., Jones, C. B., & Abdelmoty, A. I. (2008). Acquisition of a vernacular gazetteer from web source, In LOCWEB ‘08: Proceedings of the first international workshop on Location and the web, 61–64, New York, NY, USA. ACM.
   Google Scholar
• Twaroch, F. A., Purves, R. S., & Jones, C. B. (2009). Stability of qualitative spatial relations between vernacular regions mined from web data. Proceedings of workshop on geographic information on the internet. Toulouse, France: April 6th, 2009.
   Google Scholar
• Vögele, T., Schlieder, C., & Visser, U. (2003). Intuitive modelling of place name regions for spatial information retrieval, In W. Kuhn, M. F. Worboys, & S. Timpf, editors, Spatial information theory: foundations of geographic information science International Conference, COSIT 2003, Kartause Ittingen, Switzerland, Sept. 24-28, volume 2825 of Lecture Notes in Computer Science, 239–252, Berlin. Springer Verlag.
   Google Scholar