Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster-vector routines with remote sensing and GIS

International Journal of Geographical Information Science

Volumn 28, Issue 4, 2014, Pages 639-659

  Tayyebi, Amin ^a   Perry, Phillips Christian ^b   Tayyebi, Amir Hossein ^c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b Department of Molecular Biology and Genetics   (United States)

^c The University of Iowa   (United States)

Author keywords

null model; percent area match quantity and location; spatial logistic regression; urban growth boundary model; urban planning

Indexed keywords

EID: 84894253792     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2013.845892     Document Type: Article

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