메뉴 건너뛰기




Volumn 35, Issue PB, 2015, Pages 187-198

Spatiotemporal variability of urban growth factors: A globaland local perspective on the megacity of Mumbai

Author keywords

Autologistic regression; Geographically weighted logistic regression; GIS; Logistic regression; Urban growth

Indexed keywords

GIS; LAND USE PLANNING; MEGACITY; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; URBAN DEVELOPMENT; URBAN GROWTH; URBAN PLANNING;

EID: 84921027946     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.08.013     Document Type: Article
Times cited : (104)

References (47)
  • 1
    • 84875264893 scopus 로고    scopus 로고
    • Acellular automata-based land use and transport interaction model applied toJeddah, Saudi Arabia
    • Aljoufie, M., Zuidgeest, M., Brussel, M., van Vliet, J., van Maarseveen, M., 2013. Acellular automata-based land use and transport interaction model applied toJeddah, Saudi Arabia. Landsc. Urban Plan. 112, 89-99.
    • (2013) Landsc. Urban Plan , vol.112 , pp. 89-99
    • Aljoufie, M.1    Zuidgeest, M.2    Brussel, M.3    van Vliet, J.4    van Maarseveen, M.5
  • 2
    • 77955455634 scopus 로고    scopus 로고
    • Spatial regression
    • Fotheringham, S., Rogerson, P. (Eds.), Los Angeles. Sage Publications Inc
    • Anselin, L., 2009. Spatial regression. In: Fotheringham, S., Rogerson, P. (Eds.), TheSAGE Handbook of Spatial Analysis, Los Angeles. Sage Publications Inc, pp.255-276.
    • (2009) TheSAGE Handbook of Spatial Analysis , pp. 255-276
    • Anselin, L.1
  • 3
    • 0037265126 scopus 로고    scopus 로고
    • Exploring the relationsbetween riverbank erosion and geomorphological controls using geographicallyweighted logistic regression
    • Atkinson, P., German, S., Sear, D., Clark, M., 2003. Exploring the relationsbetween riverbank erosion and geomorphological controls using geographicallyweighted logistic regression. Geogr. Anal. 35, 58-82.
    • (2003) Geogr. Anal , vol.35 , pp. 58-82
    • Atkinson, P.1    German, S.2    Sear, D.3    Clark, M.4
  • 4
    • 0001328764 scopus 로고    scopus 로고
    • An autologistic model for thespatial distribution of wildlife
    • Augustin, N., Mugglestone, M., Buckland, S., 1996. An autologistic model for thespatial distribution of wildlife. J. Appl. Ecol., 339-347.
    • (1996) J. Appl. Ecol , pp. 339-347
    • Augustin, N.1    Mugglestone, M.2    Buckland, S.3
  • 5
    • 84867258259 scopus 로고    scopus 로고
    • Analysis of the impact of urbansprawl in altering the land use, land-cover pattern of Raichur City, India, usinggeospatial technologies
    • Basawaraja, R., Chari, K., Mise, S., Chetti, S., 2011. Analysis of the impact of urbansprawl in altering the land use, land-cover pattern of Raichur City, India, usinggeospatial technologies. J. Geogr. Reg. Plan. 4, 455-462.
    • (2011) J. Geogr. Reg. Plan , vol.4 , pp. 455-462
    • Basawaraja, R.1    Chari, K.2    Mise, S.3    Chetti, S.4
  • 6
    • 70449346946 scopus 로고    scopus 로고
    • Analysis of urban growth pattern using remote sensing and GIS: acase study of Kolkata
    • Bhatta, B., 2009. Analysis of urban growth pattern using remote sensing and GIS: acase study of Kolkata, India. Int. J. Remote Sens. 30, 4733-4746.
    • (2009) India. Int. J. Remote Sens , vol.30 , pp. 4733-4746
    • Bhatta, B.1
  • 7
    • 0030432956 scopus 로고    scopus 로고
    • Geographically weightedregression: a method for exploring spatial non-stationarity
    • Brunsdon, C., Fotheringham, A.S., Charlton, M., 1996. Geographically weightedregression: a method for exploring spatial non-stationarity. Geogr. Anal. 28 (4),281-298.
    • (1996) Geogr. Anal , vol.28 , Issue.4 , pp. 281-298
    • Brunsdon, C.1    Fotheringham, A.S.2    Charlton, M.3
  • 8
    • 0037465573 scopus 로고    scopus 로고
    • Urban growth pattern modeling: a case study of Wuhancity, PR China
    • Cheng, J., Masser, I., 2003. Urban growth pattern modeling: a case study of Wuhancity, PR China. Landsc. Urban Plan. 62, 199-217.
    • (2003) Landsc. Urban Plan , vol.62 , pp. 199-217
    • Cheng, J.1    Masser, I.2
  • 9
    • 84918835443 scopus 로고    scopus 로고
    • Exploring urban morphology using multi-temporal urban growthdata: a case study of Wuhan, China
    • Cheng, J., 2011. Exploring urban morphology using multi-temporal urban growthdata: a case study of Wuhan, China. Asian Geogr. 28, 85-103.
    • (2011) Asian Geogr , vol.28 , pp. 85-103
    • Cheng, J.1
  • 10
    • 76149083237 scopus 로고    scopus 로고
    • Extreme coefficients in geographi-cally weighted regression and their effects on mapping
    • Cho, S., Lambert, D., Kim, S., Jung, S., 2009. Extreme coefficients in geographi-cally weighted regression and their effects on mapping. GIS Remote Sens. 46,273-288.
    • (2009) GIS Remote Sens , vol.46 , pp. 273-288
    • Cho, S.1    Lambert, D.2    Kim, S.3    Jung, S.4
  • 11
    • 84878466908 scopus 로고    scopus 로고
    • Incorporating spatial autocorrelation with neuralnetworks in empirical land use change models
    • Chu, H.-J., Wu, C.-F., Lin, Y.-P., 2013. Incorporating spatial autocorrelation with neuralnetworks in empirical land use change models. Environ. Plan. B: Plan. Des. 40,384-404.
    • (2013) Environ. Plan. B: Plan. Des , vol.40 , pp. 384-404
    • Chu, H.-J.1    Wu, C.-F.2    Lin, Y.-P.3
  • 12
    • 0003576338 scopus 로고
    • Spatial Processes, Models and Applications
    • Pion, London.
    • Cliff, A., Ord, J., 1981. Spatial Processes, Models and Applications. Pion, London.
    • (1981)
    • Cliff, A.1    Ord, J.2
  • 13
    • 33847304040 scopus 로고    scopus 로고
    • Spatial analysis and mod-elling of land use distributions in Belgium
    • Dendoncker, N., Rounsevell, M., Bogaert, P., 2007. Spatial analysis and mod-elling of land use distributions in Belgium. Comput. Environ. Urban Syst. 31,188-205.
    • (2007) Comput. Environ. Urban Syst , vol.31 , pp. 188-205
    • Dendoncker, N.1    Rounsevell, M.2    Bogaert, P.3
  • 14
    • 34548424581 scopus 로고    scopus 로고
    • Assessing the validity of autologistic regression
    • Dormann, C., 2007. Assessing the validity of autologistic regression. Ecol. Model.207, 234-242.
    • (2007) Ecol. Model , vol.207 , pp. 234-242
    • Dormann, C.1
  • 15
    • 79951674220 scopus 로고    scopus 로고
    • Spatio-temporal modelling of informalsettlement development in Sancaktepe district, Istanbul, Turkey
    • Dubovyk, O., Sliuzas, R., Flacke, J., 2011. Spatio-temporal modelling of informalsettlement development in Sancaktepe district, Istanbul, Turkey. J. Photogram. Remote Sens. 66, 235-246.
    • (2011) J. Photogram. Remote Sens , vol.66 , pp. 235-246
    • Dubovyk, O.1    Sliuzas, R.2    Flacke, J.3
  • 16
    • 84872521193 scopus 로고    scopus 로고
    • Comparison pixel-based, object based image analysisand effective parameters in classification land cover/land use of west provinceAzerbaijan
    • Feizizadeh, B., Helali, H., 2010. Comparison pixel-based, object based image analysisand effective parameters in classification land cover/land use of west provinceAzerbaijan. J. Geogr. Res. 47, 73-84.
    • (2010) J. Geogr. Res , vol.47 , pp. 73-84
    • Feizizadeh, B.1    Helali, H.2
  • 17
    • 0038092455 scopus 로고    scopus 로고
    • Geographically Weighted Regres-sion: The Analysis of Spatially Varying Relationships
    • Wiley, Los Angeles, SAGE
    • Fotheringham, S., Brunsdon, C., Charlton, M., 2002. Geographically Weighted Regres-sion: The Analysis of Spatially Varying Relationships. Wiley, Los Angeles, SAGE.
    • (2002)
    • Fotheringham, S.1    Brunsdon, C.2    Charlton, M.3
  • 18
    • 84866880485 scopus 로고    scopus 로고
    • Mining urban land use patterns from volunteeredgeographic information by means of genetic algorithms and artificial neuralnetworks
    • Hagenauer, J., Helbich, M., 2012. Mining urban land use patterns from volunteeredgeographic information by means of genetic algorithms and artificial neuralnetworks. Int. J. Geogr. Inf. Sci. 26, 963-982.
    • (2012) Int. J. Geogr. Inf. Sci , vol.26 , pp. 963-982
    • Hagenauer, J.1    Helbich, M.2
  • 19
    • 84893942817 scopus 로고    scopus 로고
    • Comparative spatial analysisof positional accuracy of OpenStreetMap and proprietary geodata
    • Jekel, T., Car, A., Strobl, J., Griesebner, G. (Eds.), Proceedings of the Geoinformatics Forum Salzburg. Wichmann, Heidelberg
    • Helbich, M., Amelunxen, C., Neis, P., Zipf, A., 2012. Comparative spatial analysisof positional accuracy of OpenStreetMap and proprietary geodata. In: Jekel, T., Car, A., Strobl, J., Griesebner, G. (Eds.), Geospatial Crossroads @ GI Forum 2012.Proceedings of the Geoinformatics Forum Salzburg. Wichmann, Heidelberg, pp.24-33.
    • (2012) Geospatial Crossroads @ GI Forum 2012 , pp. 24-33
    • Helbich, M.1    Amelunxen, C.2    Neis, P.3    Zipf, A.4
  • 21
    • 36148984256 scopus 로고    scopus 로고
    • Modeling urban growth in Atlanta using logistic regression
    • Hu, Z., Lo, C.P., 2007. Modeling urban growth in Atlanta using logistic regression. Comput. Environ. Urban Syst. 31, 667-688.
    • (2007) Comput. Environ. Urban Syst , vol.31 , pp. 667-688
    • Hu, Z.1    Lo, C.P.2
  • 22
    • 67650100363 scopus 로고    scopus 로고
    • Spatiotemporal analysis of rural-urban land con-version
    • Huang, B., Zhang, L., Wu, B., 2009. Spatiotemporal analysis of rural-urban land con-version. Int. J. Geogr. Inf. Sci. 23, 379-398.
    • (2009) Int. J. Geogr. Inf. Sci , vol.23 , pp. 379-398
    • Huang, B.1    Zhang, L.2    Wu, B.3
  • 23
    • 0000297525 scopus 로고    scopus 로고
    • The modifiable areal unit problem and implications forlandscape ecology
    • Jelinski, D., Wu, J., 1996. The modifiable areal unit problem and implications forlandscape ecology. Landsc. Ecol. 11, 129-140.
    • (1996) Landsc. Ecol , vol.11 , pp. 129-140
    • Jelinski, D.1    Wu, J.2
  • 24
    • 84872761298 scopus 로고    scopus 로고
    • Integration of logis-tic regression, Markov chain and cellular automata models to simulate urbanexpansion - the case of Tehran
    • Jokar Arsanjani, J., Helbich, M., Kainz, W., Darvishi, A., 2013a. Integration of logis-tic regression, Markov chain and cellular automata models to simulate urbanexpansion - the case of Tehran. Int. J. Appl. Earth Obs. Geoinf. 21, 265-275.
    • (2013) Int. J. Appl. Earth Obs. Geoinf , vol.21 , pp. 265-275
    • Jokar Arsanjani, J.1    Helbich, M.2    Kainz, W.3    Darvishi, A.4
  • 26
    • 84896076679 scopus 로고    scopus 로고
    • A morphological approach topredicting urban expansion
    • Jokar Arsanjani, A., Helbich, M., Mousivand, A.J., 2014. A morphological approach topredicting urban expansion. Trans. GIS 18, 219-233.
    • (2014) Trans. GIS , vol.18 , pp. 219-233
    • Jokar Arsanjani, A.1    Helbich, M.2    Mousivand, A.J.3
  • 27
    • 82055186471 scopus 로고    scopus 로고
    • Evaluation of urban sprawlpattern in the tribal-dominated cities of Jharkhand state, India
    • Kumar, A., Pandey, A., Hoda, N., Jeyaseelan, A., 2011. Evaluation of urban sprawlpattern in the tribal-dominated cities of Jharkhand state, India. Int. J. RemoteSens. 32, 7651-7675.
    • (2011) Int. J. RemoteSens , vol.32 , pp. 7651-7675
    • Kumar, A.1    Pandey, A.2    Hoda, N.3    Jeyaseelan, A.4
  • 28
    • 79951746677 scopus 로고    scopus 로고
    • Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land use changemodeling - a case study
    • Lin, Y.P., Chu, H., Wu, C., Verburg, P., 2011. Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land use changemodeling - a case study. Int. J. Geogr. Inf. Sci. 25, 65-87.
    • (2011) Int. J. Geogr. Inf. Sci , vol.25 , pp. 65-87
    • Lin, Y.P.1    Chu, H.2    Wu, C.3    Verburg, P.4
  • 29
    • 64749102749 scopus 로고    scopus 로고
    • Modeling spatial variations of urban growth patterns in Chinesecities: the case of Nanjing
    • Luo, J., Wei, Y., 2009. Modeling spatial variations of urban growth patterns in Chinesecities: the case of Nanjing. Landsc. Urban Plan. 91, 51-64.
    • (2009) Landsc. Urban Plan , vol.91 , pp. 51-64
    • Luo, J.1    Wei, Y.2
  • 31
    • 84896288530 scopus 로고    scopus 로고
    • Logistic regres-sion and cellular automata-based modelling of retail, commercial and residentialdevelopment in the city of Ahmedabad, India
    • Munshi, T., Zuidgeest, M., Brussel, M., van Maarseveen, M., 2014. Logistic regres-sion and cellular automata-based modelling of retail, commercial and residentialdevelopment in the city of Ahmedabad, India. Cities 39, 68-86.
    • (2014) Cities , vol.39 , pp. 68-86
    • Munshi, T.1    Zuidgeest, M.2    Brussel, M.3    van Maarseveen, M.4
  • 32
    • 70349782021 scopus 로고    scopus 로고
    • Concrete evidence and geo-graphically weighted regression: a regional analysis of wealth and the land coverin Massachusetts
    • Ogneva-Himmelberger, Y., Pearsall, H., Rakshit, R., 2009. Concrete evidence and geo-graphically weighted regression: a regional analysis of wealth and the land coverin Massachusetts. Appl. Geogr. 29, 478-548.
    • (2009) Appl. Geogr , vol.29 , pp. 478-548
    • Ogneva-Himmelberger, Y.1    Pearsall, H.2    Rakshit, R.3
  • 33
    • 0038178139 scopus 로고    scopus 로고
    • Spatial autocorrelation in multi-scale land use models
    • Overmars, K., De Koning, G., Veldkamp, A., 2003. Spatial autocorrelation in multi-scale land use models. Ecol. Model. 164, 257-270.
    • (2003) Ecol. Model , vol.164 , pp. 257-270
    • Overmars, K.1    De Koning, G.2    Veldkamp, A.3
  • 34
    • 33646463156 scopus 로고    scopus 로고
    • City profile Mumbai
    • Pacione, M., 2006. City profile Mumbai. Cities 23, 229-238.
    • (2006) Cities , vol.23 , pp. 229-238
    • Pacione, M.1
  • 35
    • 84870393168 scopus 로고    scopus 로고
    • A review of regional science applications of satellite remotesensing in urban settings
    • Patino, J., Duque, J., 2013. A review of regional science applications of satellite remotesensing in urban settings. Comput. Environ. Urban Syst. 37, 1-17.
    • (2013) Comput. Environ. Urban Syst , vol.37 , pp. 1-17
    • Patino, J.1    Duque, J.2
  • 36
    • 84897423614 scopus 로고    scopus 로고
    • Re-thinking urban planning inIndia: learning from the wedge between the de jure and de facto developmentin Mumbai
    • Pethe, A., Nallathiga, R., Gandhi, S., Tandel, V., 2014. Re-thinking urban planning inIndia: learning from the wedge between the de jure and de facto developmentin Mumbai. Cities 39, 120-132.
    • (2014) Cities , vol.39 , pp. 120-132
    • Pethe, A.1    Nallathiga, R.2    Gandhi, S.3    Tandel, V.4
  • 37
    • 72549098006 scopus 로고    scopus 로고
    • Complexity and performance of urban expan-sion models
    • Poelmans, L., Van Rompaey, A., 2010. Complexity and performance of urban expan-sion models. Comput. Environ. Urban Syst. 34, 17-27.
    • (2010) Comput. Environ. Urban Syst , vol.34 , pp. 17-27
    • Poelmans, L.1    Van Rompaey, A.2
  • 38
    • 4444367297 scopus 로고    scopus 로고
    • Useful techniques of validation for spa-tially explicit land-change models
    • Pontius, R., Huffaker, D., Denman, K., 2004. Useful techniques of validation for spa-tially explicit land-change models. Ecol. Model. 179, 445-461.
    • (2004) Ecol. Model , vol.179 , pp. 445-461
    • Pontius, R.1    Huffaker, D.2    Denman, K.3
  • 39
    • 84859159876 scopus 로고    scopus 로고
    • Entropy approach for assessment of urban growth: a casestudy of Jaipur
    • Punia, M., Singh, L., 2012. Entropy approach for assessment of urban growth: a casestudy of Jaipur. J. Indian Soc. Remote Sens. 40, 231-244.
    • (2012) J. Indian Soc. Remote Sens , vol.40 , pp. 231-244
    • Punia, M.1    Singh, L.2
  • 40
    • 84875577395 scopus 로고    scopus 로고
    • Spatiotemporal urbanization processesin the megacity of Mumbai, India: a Markov chains-cellular automata urbangrowth model
    • Shafizadeh Moghadam, H., Helbich, M., 2013. Spatiotemporal urbanization processesin the megacity of Mumbai, India: a Markov chains-cellular automata urbangrowth model. Appl. Geogr. 40, 140-149.
    • (2013) Appl. Geogr , vol.40 , pp. 140-149
    • Shafizadeh Moghadam, H.1    Helbich, M.2
  • 42
    • 84897442036 scopus 로고    scopus 로고
    • Modeling multiple land use changes using ANN, CART and MARS: comparing tradeoffs in goodness of fit and explanatory powerof data mining tools
    • Tayyebi, A., Pijanowski, B., 2014. Modeling multiple land use changes using ANN, CART and MARS: comparing tradeoffs in goodness of fit and explanatory powerof data mining tools. Int. J. Appl. Earth Obs. Geoinf. 28, 102-116.
    • (2014) Int. J. Appl. Earth Obs. Geoinf , vol.28 , pp. 102-116
    • Tayyebi, A.1    Pijanowski, B.2
  • 43
    • 84864501253 scopus 로고    scopus 로고
    • Insights to urban dynamics through landscapespatial pattern analysis
    • Tv, R., Aithala, B., Sanna, D., 2012. Insights to urban dynamics through landscapespatial pattern analysis. Int. J. Appl. Earth Obs. Geoinf. 18, 329-343.
    • (2012) Int. J. Appl. Earth Obs. Geoinf , vol.18 , pp. 329-343
    • Tv, R.1    Aithala, B.2    Sanna, D.3
  • 44
    • 84924378968 scopus 로고    scopus 로고
    • United Nations, The Revision, New York 2012. World Urbanization Prospects. United Nations Publication
    • United Nations, The 2011 Revision, New York 2012. World Urbanization Prospects. United Nations Publication.
    • (2011)
  • 45
    • 77955124171 scopus 로고    scopus 로고
    • Urban future
    • Van Ginkel, H., 2008. Urban future. Nature 456, 32-33.
    • (2008) Nature , vol.456 , pp. 32-33
    • Van Ginkel, H.1
  • 47
    • 21244497275 scopus 로고    scopus 로고
    • Multicollinearity and correlation among localregression coefficients in geographically weighted regression
    • Wheeler, D., Tiefelsdorf, M., 2005. Multicollinearity and correlation among localregression coefficients in geographically weighted regression. J. Geogr. Syst. 7,161-187.
    • (2005) J. Geogr. Syst , vol.7 , pp. 161-187
    • Wheeler, D.1    Tiefelsdorf, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.