370
Views
18
CrossRef citations to date
0
Altmetric
Review Article

Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element

, , , &

References

  • Aguilera, F., Valenzuela, L.M., and Botequilha-Leitão, A., 2011. Landscape metrics in the analysis of urban land use patterns: a case study in a Spanish metropolitan area. Landscape and Urban Planning, 99, 226–238. doi:10.1016/j.landurbplan.2010.10.004
  • Antrop, M. and Van Eetvelde, V., 2000. Holistic aspects of suburban landscapes: visual image interpretation and landscape metrics. Landscape and Urban Planning, 50, 43–58. doi:10.1016/S0169-2046(00)00079-7
  • Bieńkowska, M. and Korpetta, D., 2015. Rozlewanie się zabudowy a planowanie przestrzenne w strefie podmiejskiej miasta Płocka. Acta Scientiarum Polonorum, Administratio Locorum, 14 (1), 7–28.
  • Birch, C.P.D., Oom, S.P., and Beecham, J.A., 2007. Rectangular and hexagonal grids used for observation, experiment and simulation in ecology. Ecological Modelling, 206, 347–359. doi:10.1016/j.ecolmodel.2007.03.041
  • Birch, C.P.D., Vuichard, N., and Werkman, B.R., 2000. Modelling the effects of patch size on vegetation dynamics: bracken (Pteridium aquilinum (L.) Kuhn) under grazing. Annals of Botany, 85 (Suppl. B), 63–76.
  • Cabral, P., et al., 2013. Entropy in urban systems. Entropy, 15 (12), 5223–5236. doi:10.3390/e15125223
  • Camilo, A.C.A., et al., 2017. Anthropogenic impact on habitat connectivity: a multidimensionalhuman footprint index evaluated in a highly biodiverse landscape of Mexico. Ecological Indicators, 72, 895–909. doi:10.1016/j.ecolind.2016.09.007
  • Cao, H., et al., 2017. Urban expansion and its impact on the land use pattern in Xishuangbanna since the reform and opening up of China. Remote Sensing, 9 (2), 137. doi:10.3390/rs9020137
  • Carr, D.B., Olsen, A.R., and White, D., 1992. Hexagon mosaic maps for display of univariate and bivariate geographical data. Cartography and Geographic Information Systems, 19, 228–236. doi:10.1559/152304092783721231
  • Cegielska, K., et al., 2017. Level of spatial differentiation of anthropogenic impact in Małopolska. Journal of Ecological Engineering, 18 (1), 200–209. doi:10.12911/22998993/67100
  • Central Statistical Office of Poland, Local data bank. Available from: https://bdl.stat.gov.pl/BDL/start. [Accessed 22 March 2018]
  • Cheng, J. and Masser, I., 2003. Urban growth pattern modeling: a case study of Wuhan city, PR China. Landscape and Urban Planning, 62, 199–217. doi:10.1016/S0169-2046(02)00150-0
  • Chmielewski, T.J., 2012. Systemy krajobrazowe. Struktura, funkcjonowanie, planowanie, [Landscape Systems. Structure, Functioning, Planning]. Warsaw: Wydawnictwo Naukowe PWN.
  • Cuber, L., et al., 2016. Informator statystyczny miasto Tarnów [Statistical Information about the City of Tarnów]. Krakowie: Urząd Statystyczny w. ISSN 2082-4076.
  • Dąbrowski, A., 2016. Metodyka opracowywania szczegółowych map pokrycia terenu na podstawie istniejących źródeł danych. In: M. Nowak, ed. GIS i dane przestrzenne w ocenach oddziaływania na środowisko. Podręcznik dobrych praktyk. Poznań, Poland: Wydawnictwo Naukowe UAM, 167–182.
  • Degórski, M., 2009. Landscape as the reflection of natural and antropogenic processes in the megasystem of the geographical environment. The Problems of Landscape Ecology, 23, 53–60.
  • Deka, J., Tripathi, O.P., and Khan, M.L., 2012. Urban growth trend analysis using Shannon Entropy approach – A case study in North-East India. International Journal Of Geomatics And Geosciences, 2 (4), 1062–1068.
  • Deng, J.S., et al., 2009. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape and Urban Planning, 92, 187–198. doi:10.1016/j.landurbplan.2009.05.001
  • Drzewiecki, W., 2008. Monitoring zmian pokrycia i użytkowania terenu na podstawie wieloczasowych obrazów teledetekcyjnych. Roczniki Geomatyki, VI (3), 131–142.
  • Dziedzic, A., Tutaj, J., and Marczak, W., 2016. Informator statystyczny miasto Nowy Sącz [Statistical Information about the City of Nowy Sącz]. w Krakowie: Urząd Statystyczny. ISSN 2082-4084.
  • Fanhua, K., et al., 2012. Simulating urban growth processes incorporating a potential model with spatial metrics. Ecological Indicators, 20, 82–91. doi:10.1016/j.ecolind.2012.02.003
  • Fiedukowicz, A., Grabowska, A., and Olszewski, R., 2013. Rozszerzenie kartograficznej metody koncentracji. Polski Przegląd Kartograficzny, 45 (2), 121–130.
  • Foley, J.A., et al., 2005. Global consequences of land use. Science, 309, 570–574. doi:10.1126/science.1111772
  • Foody, G.M., 2007. Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data. International Journal of Remote Sensing, 17 (7), 1317–1340. doi:10.1080/01431169608948706
  • Gajos, M. and Sierka, E., 2011. Kierunki badań zastosowania technologii GIS w ochronie środowiska: analiza polskiego czasopiśmiennictwa naukowego. Roczniki Geomatyki, IX, 3 (47), 61–70.
  • Guzik, R., Gwosdz, K., and Działek, J., ed. 2013. Klimat inwestycyjny w województwie małopolskim. Raport Małopolskiego Obserwatorium Gospodarki [Investment Environment in the Małopolskie Voivodeship. Report of the Lesser Poland Economy Observatory]. Kraków, Poland.
  • Haack, B.N. and Rafter, A., 2006. Urban growth analysis and modelling in the Kathmandu Valley, Nepal. Habitat International, 30, 1056–1065. doi:10.1016/j.habitatint.2005.12.001
  • Herold, M., Couclelis, H., and Clarke, K.C., 2005. The role of spatial metrics in the analysis and modeling of urban land use change. Computers, Environment and Urban Systems, 29, 369–399. doi:10.1016/j.compenvurbsys.2003.12.001
  • Herold, M., Goldstein, N.C., and Clarke, K.C., 2003a. The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sensing of Environment, 86, 286–302. doi:10.1016/S0034-4257(03)00075-0
  • Herold, M., Liu, X.H., and Clarke, K.C., 2003b. Spatial metrics and image texture for mapping urban land use. Photogrammetric Engineering and Remote Sensing, 69 (9), 991–1001. doi:10.14358/PERS.69.9.991
  • Herold, M., Scepan, J., and Clarke, K.C., 2002. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A, 34, 1443–1458. doi:10.1068/a3496
  • Iraj, E., Alireza, T., and Masih, R., 2016. Effects of urban sprawl on local climate: a case study, north central Iran. Urban Climate, 17, 230–247. doi:10.1016/j.uclim.2016.08.008
  • Jat, M.K., Garg, P.K., and Khare, D., 2008. Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, 10, 26–43. doi:10.1016/j.jag.2007.04.002
  • Jenks, G.F., 1967. The data model concept in statistical mapping. International Yearbook of Cartography, 7, 186–190.
  • Kienast, F., Wildi, O., and Ghosh, S., 2009. A changing world. Challenges for landscape research. Switzerland: Springer.
  • Kistowski, M., 2005. Przegląd wybranych podejść metodycznych w zakresie analizy oceny wpływu człowieka na środowisko przyrodnicze. Problemy Ekologii Krajobrazu, XVII, 60–70.
  • Kosturbiec, B., 1972. Analiza zjawisk koncentracji w sieci osadniczej. Problemy metodyczne. Wrocław, Poland: Wydawnictwo Polskiej Akademii Nauk, Prace Geograficzne, 93, Wydawnictwo PAN.
  • Kot, R., 2014. The application of GIS modelling for geodiversity evaluation. PEK, XXXVIII, 95–105.
  • Lausch, A. and Herzog, F., 2002. Applicability of landscape metrics for the monitoring of landscape change: issues of scale, resolution and interpretability. Ecological Indicators, 2, 3–15. doi:10.1016/S1470-160X(02)00053-5
  • Li, X., et al., 2005. The adequacy of different landscape metrics for various landscape patterns. Pattern Recognition, 38, 2626–2638. doi:10.1016/j.patcog.2005.05.009
  • Li, X. and Yeh, A.G.O., 2004. Analyzing spatial restructuring of land use patterns in a fast growing region remote sensing and GIS. Landscape and Urban Planning, 69, 335–354. doi:10.1016/j.landurbplan.2003.10.033
  • Mashagbah, A.F.A., 2016. The use of GIS, remote sensing and Shannon’s entropy statistical techniques to analyze and monitor the spatial and temporal patterns of urbanization and sprawl in Zarqa City, Jordan. Journal of Geographic Information System, 8, 293–300. doi:10.4236/jgis.2016.82025
  • Megahed, Y., et al., 2015. Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater cairo region—Egypt. ISPRS International Journal of Geo-Information, 4, 1750–1769. doi:10.3390/ijgi4031750
  • Miedviedkov, J.V., 1966. Regularnaja komponenta v sietach rassielenija izobrazennych na kartie, Izviestia AN SSSR. Seria Gieografi Českaja, 4, 110–122.
  • Mosammam, H.M., et al., 2017. Monitoring land use change and measuring urban sprawl based on its spatial forms. The case of Qom city. The Egyptian Journal of Remote Sensing and Space Sciences, 20, 103–116. doi:10.1016/j.ejrs.2016.08.002
  • Noszczyk, T., Rutkowska, A., and Hernik, J., 2017. Determining changes in land use structure in Małopolska using statistical methods. Polish Journal of Environmental Studies, 26 (1), 211–220. doi:10.15244/pjoes/64913
  • Parysek, J.J., 1982. Modele klasyfikacji w geografii. Seria Geografia, Uniwersytet im. A. Mickiewicza W Poznaniu, 31, 31–51.
  • Pawlak, A., 1999. Land Cover map developed according to a proposal of the fourth level of CORINE Land Cover key map and environmental diversity for sheet N-34-106-D. Fotointerpretacja W Geografii. Problemy Telegeoinformacji, 30, 31–41.
  • Pukowiec-Kurda, K. and Sobala, M., 2016. The new method of evaluating the degree of anthropogenic landscape transformation based on landscape metrics. Dissertations Of Cultural Landscape Commission, 31, 73–86.
  • Punia, M. and Singh, L., 2012. Entropy approach for assessment of urban growth: a case study of Jaipur, India. Indian Society of Remote Sensing, 40 (2), 231–244. doi:10.1007/s12524-011-0141-z
  • Rahman, M.T., 2016. Land use and land cover changes and urban Sprawl in Riyadh, Saudi Arabia: an analysis using multi-temporal landsat data and Shannon’s entropy index. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8, 1017–1021. doi:10.5194/isprsarchives-XLI-B8-1017-2016
  • Ramachandra, T.V., Bharath, H.A., and Durgappa, D.S., 2012. Insights to urban dynamics through landscape spatial pattern analysis. International Journal of Applied Earth Observation and Geoinformation, 18, 329–343. doi:10.1016/j.jag.2012.03.005
  • Raźnik, P., 2013. Procesy suburbanizacyjne w regionie miejskim Krakowa na tle rozwoju społeczno-gospodarczego województwa małopolskiego [Suburbanisation processes in the urban area of Kraków in the context of the socio-economic development of the Małopolskie Voivodeship]. In: P. Raźnik, ed. Społeczno-ekonomiczne przemiany regionów. Kraków, Poland: Oficyna Wydawnicza AFM, 45–64.
  • Regulation of the Minister of Interior and Administration of 17 November 2011 on the database of topographic objects and databases of general geographic objects and standard cartographic works
  • Riitters, K.H., et al., 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecology, 10 (1), 23–39. doi:10.1007/BF00158551
  • Salata, T., et al., 2016. Zróżnicowanie przestrzenne wskaźnika istotności ekologicznej w województwie podkarpackim. Inżynieria Ekologiczna, 50, 82–91. doi:10.12912/23920629/65505
  • Sarvestani, M.S., Ibrahim, A.L., and Kanaroglou, P., 2011. Three decades of urban growth in the city of Shiraz, Iran: a remote sensing and geographic information systems application. Cities, 28, 320–329. doi:10.1016/j.cities.2011.03.002
  • Singh, B., 2014. Urban growth using Shannon’s entropy: a case study of Rohtak City. International Journal of Advanced Remote Sensing and GIS, 3 (1), 544–552.
  • Śleszyński, P., 2013. Propozycja kompleksowej koncepcji wskaźników zagospodarowania i ładu przestrzennego. In: P. Śleszyński, ed. Wskaźniki zagospodarowania i ładu przestrzennego w gminach. Warszawa, Poland: Biuletyn KPZK PAN, 252, 176–231.
  • Solon, J., 2009. Spatial context of urbanization: Landscape pattern and changes between 1950 and 1990 in the Warsaw metropolitan area, Poland. Landscape and Urban Planning, 93, 250–261.
  • Staszewska, S., 2012. Przekształcenia urbanistyczne osiedli wiejskich strefy podmiejskiej dużego miasta. Barometr Regionalny, 4 (30), 53–68.
  • Sudhira, H.S., Ramachandra, T.V., and Jagadish, K.S., 2004. Urban sprawl: metrics, dynamics and modelling using GIS. International Journal of Applied Earth Observation and Geoinformation, 5, 29–39. doi:10.1016/j.jag.2003.08.002
  • Sudra, P., 2016. Zastosowanie wskaźników koncentracji przestrzennej w badaniu procesów urban sprawl. Przegląd Geograficzny, 88 (2), 247–272. doi:10.7163/PrzG
  • Sun, H., Forsythe, W., and Waters, N., 2007. Mode ling urban land use change and urban Sprawl: Calgary, Alberta, Canada. Networks and Spatial Economics, 7, 353–376. doi:10.1007/s11067-007-9030-y
  • Tsermegas, I., 2015. Anthropogenic transformation of the relief of the Aegean Islands. Miscellanea Geographica – Regional Studies On Development, 19 (2), 40–49.
  • Verma, S., Chatterjee, A., and Mandal, N.R., 2017. Analysing urban sprawl and shifting of urban growth centre of Bengaluru City, India Using Shannon’s entropy method. Journal of Settlements and Spatial Planning, 8 (2), 89–98. doi:10.24193/JSSP
  • Weng, Q., 2001. A remote sensing – GIS evaluation of Urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing, 22 (10), 1999–2014.
  • Xi, J.Y. and Cho, N.N., 2007. Spatial and temporal dynamics of urban sprawl along two urban–rural transects: A case study of Guangzhou, China. Landscape and Urban Planning, 79 (1), 96–109. doi:10.1016/j.landurbplan.2006.03.008
  • Yang, X. and Liu, Z., 2005. Use of satellite-derived landscape imperviousness index to characterize urban spatial growth. Computers, Environment and Urban Systems, 29, 524–540. doi:10.1016/j.compenvurbsys.2005.01.005
  • Yeh, A.G.O. and Li, X., 2001. Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogrammetr. Eng. Remote Sens, 67 (1), 83–90.
  • Zhang, D., et al., 2017. Effects of urbanization intensity on forest structural-taxonomic attributes, landscape patterns and their associations in Changchun, Northeast China: implications for urban green infrastructure planning. Ecological Indicators, 80, 286–296. doi:10.1016/j.ecolind.2017.05.042

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.