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Volumn 21, Issue 3, 2018, Pages 229-236

Urban growth dynamics of an Indian metropolitan using CA Markov and Logistic Regression

Author keywords

Drivers of growth; Logistic Regression; Urban growth; Urbanization

Indexed keywords

DYNAMICS; EXPANSION; LAND USE; REGRESSION ANALYSIS; REMOTE SENSING;

EID: 85035809674     PISSN: 11109823     EISSN: 20902476     Source Type: Journal    
DOI: 10.1016/j.ejrs.2017.11.006     Document Type: Article
Times cited : (109)

References (34)
  • 1
    • 4243102999 scopus 로고    scopus 로고
    • Modeling and prediction of future urban growth in the charleston region of south carolina: a gis-based integrated approach
    • Allen, J., Lu, K., Modeling and prediction of future urban growth in the charleston region of south carolina: a gis-based integrated approach. Ecol. Soc., 8(2), 2003.
    • (2003) Ecol. Soc. , vol.8 , Issue.2
    • Allen, J.1    Lu, K.2
  • 2
    • 0016883384 scopus 로고
    • A land Use and Land Cover Classification System for Use with Remote Sensor Data. USGS Professional Paper, 964
    • Anderson, J.R., Hardy, E.E., Roach, J.T., Witmer, R.E., 1976. A land Use and Land Cover Classification System for Use with Remote Sensor Data. USGS Professional Paper, 964, pp. 1-40.
    • (1976) , pp. 1-40
    • Anderson, J.R.1    Hardy, E.E.2    Roach, J.T.3    Witmer, R.E.4
  • 3
    • 6344231466 scopus 로고    scopus 로고
    • Why landscapes of the past are important for the future
    • Antrop, M., Why landscapes of the past are important for the future. Landscape Urban Plann. 70:1–2 (2005), 21–34.
    • (2005) Landscape Urban Plann. , vol.70 , Issue.1-2 , pp. 21-34
    • Antrop, M.1
  • 4
    • 84872761298 scopus 로고    scopus 로고
    • Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion
    • Arsanjani, J.J., et al. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int. J. Appl. Earth Obs. Geoinf. Elsevier B.V. 21:1 (2012), 265–275.
    • (2012) Int. J. Appl. Earth Obs. Geoinf. Elsevier B.V. , vol.21 , Issue.1 , pp. 265-275
    • Arsanjani, J.J.1
  • 5
    • 0043072448 scopus 로고    scopus 로고
    • Analysis of Land Use Change: Theoretical and Modeling Approaches
    • Regional Research Institute, West Virginia University
    • Briassoulis, H., Analysis of Land Use Change: Theoretical and Modeling Approaches. 2000, Regional Research Institute, West Virginia University.
    • (2000)
    • Briassoulis, H.1
  • 6
    • 85057177829 scopus 로고    scopus 로고
    • Census of India Census of India, Government of India
    • Census of India, 2011, Census of India, Government of India.
    • (2011)
  • 7
    • 85057149643 scopus 로고    scopus 로고
    • Urban Growth Pattern Modelling : a case study of Wuhan City, P.R. China Abstract . 2(Tommy 1997)
    • Cheng, J., Masser, I., 2001. Urban Growth Pattern Modelling : a case study of Wuhan City, P.R. China Abstract . 2(Tommy 1997), pp. 1–19.
    • (2001) , pp. 1-19
    • Cheng, J.1    Masser, I.2
  • 8
    • 0032031448 scopus 로고    scopus 로고
    • Using dynamic modeling to scope environmental problems and built consensus
    • Costanza, R., Ruth, M., Using dynamic modeling to scope environmental problems and built consensus. Environ. Manage. 22:2 (1998), 185–195.
    • (1998) Environ. Manage. , vol.22 , Issue.2 , pp. 185-195
    • Costanza, R.1    Ruth, M.2
  • 9
    • 85057204597 scopus 로고    scopus 로고
    • Modeling urban growth in Kathmandu Valley. Available at
    • Duwal, S., 2013. Modeling urban growth in Kathmandu Valley. pp. 80. Available at: http://www.itc.nl/library.
    • (2013) , pp. 80
    • Duwal, S.1
  • 10
    • 26444544165 scopus 로고    scopus 로고
    • The impact of interactions in spatial simulation of the dynamics of urban sprawl
    • Fang, S., et al. The impact of interactions in spatial simulation of the dynamics of urban sprawl. Landscape Urban Plann. 73:4 (2005), 294–306.
    • (2005) Landscape Urban Plann. , vol.73 , Issue.4 , pp. 294-306
    • Fang, S.1
  • 11
    • 84994056954 scopus 로고    scopus 로고
    • Applying a hybrid model of markov chain and logistic regression to identify future urban sprawl in abouelreesh, aswan: A case study
    • Hamdy, O., et al. Applying a hybrid model of markov chain and logistic regression to identify future urban sprawl in abouelreesh, aswan: A case study. Geosciences, 6(4), 2016, 43.
    • (2016) Geosciences , vol.6 , Issue.4 , pp. 43
    • Hamdy, O.1
  • 12
    • 84993967288 scopus 로고    scopus 로고
    • Analyses the driving forces for urban growth by using IDRISI®Selva models abouelreesh – aswan as a case study
    • Hamdy, O., et al. Analyses the driving forces for urban growth by using IDRISI®Selva models abouelreesh – aswan as a case study. Int. J. Eng. Technol. 9:3 (2017), 226–232.
    • (2017) Int. J. Eng. Technol. , vol.9 , Issue.3 , pp. 226-232
    • Hamdy, O.1
  • 13
    • 33751167046 scopus 로고    scopus 로고
    • Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China
    • He, C., et al. Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China. Appl. Geogr. 26:3–4 (2006), 323–345.
    • (2006) Appl. Geogr. , vol.26 , Issue.3-4 , pp. 323-345
    • He, C.1
  • 14
    • 85057176109 scopus 로고    scopus 로고
    • Modelling urban growth in the Atlanta, Georgia metropolitan area using Remote Sensing and GIS.
    • Hu, Z., 2004. Modelling urban growth in the Atlanta, Georgia metropolitan area using Remote Sensing and GIS.
    • (2004)
    • Hu, Z.1
  • 15
    • 36148984256 scopus 로고    scopus 로고
    • Modeling urban growth in Atlanta using logistic regression
    • Hu, Z., Lo, C.P., Modeling urban growth in Atlanta using logistic regression. Comput. Environ. Urban Syst. 31:6 (2007), 667–688.
    • (2007) Comput. Environ. Urban Syst. , vol.31 , Issue.6 , pp. 667-688
    • Hu, Z.1    Lo, C.P.2
  • 16
    • 67650100363 scopus 로고    scopus 로고
    • Spatio-temporal analysis of rural-urban land conversion
    • Huang, B., Zhang, L., Wu, B., Spatio-temporal analysis of rural-urban land conversion. Int. J. Geogr. Inf. Sci., 23(10), 2009.
    • (2009) Int. J. Geogr. Inf. Sci. , vol.23 , Issue.10
    • Huang, B.1    Zhang, L.2    Wu, B.3
  • 17
    • 0003409580 scopus 로고
    • Introductory Digital Image Processing: A Remote Sensing Perspective
    • Prentice Hall PTR USA
    • Jenson, J., Introductory Digital Image Processing: A Remote Sensing Perspective. 1986, Prentice Hall PTR, USA.
    • (1986)
    • Jenson, J.1
  • 18
    • 0035838970 scopus 로고    scopus 로고
    • Predicting land-cover and land-use change in the urban fringe
    • López, E., et al. Predicting land-cover and land-use change in the urban fringe. Landscape Urban Plann. 55:4 (2001), 271–285.
    • (2001) Landscape Urban Plann. , vol.55 , Issue.4 , pp. 271-285
    • López, E.1
  • 19
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • Lu, D., Weng, Q., A survey of image classification methods and techniques for improving classification performance. Int. J. Remote Sens., 2007, 823–870.
    • (2007) Int. J. Remote Sens. , pp. 823-870
    • Lu, D.1    Weng, Q.2
  • 20
    • 85057148867 scopus 로고    scopus 로고
    • Modeling Past Vegetation Change through Remote Sensing and G. I. S : A Comparison of Neural Networks and Logistic Regression Methods, Change.
    • Mahiny, A.S., Turner, B.J., 2003. Modeling Past Vegetation Change through Remote Sensing and G. I. S : A Comparison of Neural Networks and Logistic Regression Methods, Change. pp. 1–24.
    • (2003) , pp. 1-24
    • Mahiny, A.S.1    Turner, B.J.2
  • 21
    • 79952899823 scopus 로고    scopus 로고
    • Cellular automata based model of urban spatial growth
    • Maithani, S., Cellular automata based model of urban spatial growth. J. Indian Soc. Remote Sens. 38:4 (2010), 604–610.
    • (2010) J. Indian Soc. Remote Sens. , vol.38 , Issue.4 , pp. 604-610
    • Maithani, S.1
  • 22
    • 85040872860 scopus 로고    scopus 로고
    • Computer Processing of Remotely Sensed Images: An INTRODUCTION
    • John Wiley & Sons Chichester
    • Mather, P., Computer Processing of Remotely Sensed Images: An INTRODUCTION. 1999, John Wiley & Sons, Chichester.
    • (1999)
    • Mather, P.1
  • 23
    • 85057210946 scopus 로고    scopus 로고
    • McKinsey & Company India's urban awakening: Building inclusive cities, sustaining economic growth, Available at
    • McKinsey & Company, 2010. India's urban awakening: Building inclusive cities, sustaining economic growth, Available at: http://www.mckinsey.com/…/mckinsey/…/urbanization.
    • (2010)
  • 24
    • 78650205824 scopus 로고    scopus 로고
    • Urban growth modeling of Kathmandu metropolitan region, Nepal. Computers environment and Urban Systems, January
    • Murayama, Y., Thapa, R.B., 2011. Urban growth modeling of Kathmandu metropolitan region, Nepal. Computers environment and Urban Systems, January, pp. 25-34.
    • (2011) , pp. 25-34
    • Murayama, Y.1    Thapa, R.B.2
  • 26
    • 84919950223 scopus 로고    scopus 로고
    • Urban structure in Kolkata: metrics and modelling through geo-informatics
    • Ramachandra, T.V., Aithal, B.H., Sowmyashree, M.V., Urban structure in Kolkata: metrics and modelling through geo-informatics. Applied Geomatics 6:4 (2014), 229–244.
    • (2014) Applied Geomatics , vol.6 , Issue.4 , pp. 229-244
    • Ramachandra, T.V.1    Aithal, B.H.2    Sowmyashree, M.V.3
  • 27
    • 85057164069 scopus 로고    scopus 로고
    • Spatiotemporal Analysis of Insian Mega cities. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII. Part B2. Beijing.
    • Taubenbock, H., et al., 2008. Spatiotemporal Analysis of Insian Mega cities. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII. Part B2. Beijing.
    • (2008)
    • Taubenbock, H.1
  • 28
    • 70749108816 scopus 로고    scopus 로고
    • Drivers of urban growth in the Kathmandu valley, Nepal: Examining the efficacy of the analytic hierarchy processes
    • Thapa, R.B., Murayama, Y., Drivers of urban growth in the Kathmandu valley, Nepal: Examining the efficacy of the analytic hierarchy processes. Appl. Geogr. 30:1 (2010), 70–83.
    • (2010) Appl. Geogr. , vol.30 , Issue.1 , pp. 70-83
    • Thapa, R.B.1    Murayama, Y.2
  • 29
    • 1242346046 scopus 로고    scopus 로고
    • A method to analyse neighbourhood characteristics of land use patterns
    • Verburg, P.H., et al. A method to analyse neighbourhood characteristics of land use patterns. Comput. Environ. Urban Syst. 28:6 (2004), 667–690.
    • (2004) Comput. Environ. Urban Syst. , vol.28 , Issue.6 , pp. 667-690
    • Verburg, P.H.1
  • 30
    • 0141569024 scopus 로고    scopus 로고
    • Urbanization pressure and modeling of urban growth: Example of the Tunis Metropolitan Area
    • Weber, C., Puissant, A., Urbanization pressure and modeling of urban growth: Example of the Tunis Metropolitan Area. Remote Sens. Environ. 86:3 (2003), 341–352.
    • (2003) Remote Sens. Environ. , vol.86 , Issue.3 , pp. 341-352
    • Weber, C.1    Puissant, A.2
  • 31
    • 34249984374 scopus 로고    scopus 로고
    • Spatiotemporal changes of landscape pattern in response to urbanization
    • Weng, Y.C., Spatiotemporal changes of landscape pattern in response to urbanization. Landscape Urban Plann. 81:4 (2007), 341–353.
    • (2007) Landscape Urban Plann. , vol.81 , Issue.4 , pp. 341-353
    • Weng, Y.C.1
  • 32
    • 32644466208 scopus 로고    scopus 로고
    • An aggregated multivariate regression land-use model and its application to land-use change processes in the Daqing region (northeast China)
    • Zang, S., Huang, X., An aggregated multivariate regression land-use model and its application to land-use change processes in the Daqing region (northeast China). Ecol. Model. 193:3–4 (2006), 503–516.
    • (2006) Ecol. Model. , vol.193 , Issue.3-4 , pp. 503-516
    • Zang, S.1    Huang, X.2
  • 33
    • 85015532998 scopus 로고    scopus 로고
    • Modeling spatial land use pattern using autologistic regression
    • Zeng, Y.N., et al. Modeling spatial land use pattern using autologistic regression. Int. Arch. Photogrammetry, Remote Sens. Spatial Inf. Sci. 37:B2 (2008), 115–118.
    • (2008) Int. Arch. Photogrammetry, Remote Sens. Spatial Inf. Sci. , vol.37 , Issue.B2 , pp. 115-118
    • Zeng, Y.N.1
  • 34
    • 77952287474 scopus 로고    scopus 로고
    • Land-use change simulation and assessment of driving factors in the loess hilly region-a case study as Pengyang County
    • Zhu, Z., et al. Land-use change simulation and assessment of driving factors in the loess hilly region-a case study as Pengyang County. Environ. Monit. Assess. 164:1–4 (2010), 133–142.
    • (2010) Environ. Monit. Assess. , vol.164 , Issue.1-4 , pp. 133-142
    • Zhu, Z.1


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