Analyses the Driving Forces for Urban Growth by Using IDRISI®Selva Models Abouelreesh - Aswan as a Case Study

Abstract

Abstract-Urban growth is very dynamic and complex processes, It has many factors affects on the directions and value of urban extensions, the factors that drive urban development must be identified and analyzed, The study of relative research shows that the driving forces which lead and redirect the urban sprawl, and try to classified these driving forces based on the value of its effectives on urban growth, Achieving the classification of driving forces needs using statistical method, our study used the logistic regressions to analysis and classes the driving forces for urban sprawl, Identifying the driving forces is the most important step to prediction the urban growth in future by using the cellular automata models so that the research try to prepare this step to complete the procedure to expect the urban extensions, This study takes Aswan area as a case study in period from 2001 to 2013 by analysis the official detailed plan and google earth historical imagery, Almost data prepared to logistic regressions analysis using ArcGIS software and IDRISI®Selva. We studied historical imagery of the area using Google Earth to examine changes in urban growth in 2001 and 2013, over a span of 12 years. The results showed urbanization in risk areas to be 59.79 % in 2001, then rising to 65.45 % in 2013, by the end of this paper it can be classified the effect of the driving forces in study area.

Landscape Management through Change Processes Monitoring in Iran

“…Produced transition potential maps were applied for the prediction of quantitative changes. The amount of changes in each transition period, and change allocation to each LULC class were explored using the Markov chain method [35,36]. To predict the LULC map of 2014, LULC maps of 1989 and 2000 were applied as inputs in land change modeling.…”

Applying a Hybrid Model of Markov Chain and Logistic Regression to Identify Future Urban Sprawl in Abouelreesh, Aswan: A Case Study

“…The detailed plan was updated in 2014 by using Google Earth to manually extract the relevant data to the year of building construction. This was followed by a visual analysis of high-resolution aerial images of the city in Google Earth [58]. Figure 4 shows the land use in 2001 and 2009.…”

“…The research identifies the driving factors from two sources: (1) by reviewing related literature [33,36,38,58,62]; (2) by analyzing the official detailed plan and the experience of the researcher with the study area. Thereafter, the LCM test (the selection of a site and the driver variable module) was applied to test the potential power of the explanatory variables.…”

Modelagem Temporal Dinâmica Do Uso E Ocupação Do Solo Baseado Em Sig Para a Bacia Do Rio Tapacurá (Pe)

“…O V de Cramer varia entre 0 e 1 e quanto mais próximo de 1, maior é a associação entre a variável explanatória e a transição definida. Se o valor do V de Cramer das variáveis for maior que 0,15, verifica-se que a variável é significativa para a modelagem e deve ser adicionada na etapa de previsão do potencial de transição (Sampaio, 2014;Hamdy et al, 2017e Amorim, 2015.…”