URBAN EXPANSION SPATIAL MODELING USING LOGISTIC REGRESSION METHOD CASE STUDY: SHAHREKORD

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KARAM AMIR; HAJJEFOROUSH NIA SHILA; HAKIMI HAMID REZA

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Journal: JOURNAL OF GEOGRAPHICAL SCIENCES Year:2010 | Volume:14 | Issue:17 Page(s): 41-64

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Title

URBAN EXPANSION SPATIAL MODELING USING LOGISTIC REGRESSION METHOD CASE STUDY: SHAHREKORD

Author(s)

KARAM AMIR | HAJJEFOROUSH NIA SHILA | HAKIMI HAMID REZA | Issue Writer Certificate

Keywords

SPATIAL MODELINGQ2

URBAN EXPANSIONQ2

LOGISTIC REGRESSIONQ2

GISQ2

SHAHREKORDQ2

Abstract

World's urban population, especially in developing countries is facing increasing growth and its consequences can be seen in physical expansion of cities and numerous socio-economic problems. SHAHREKORD the center of Char Mahal Bakhtiari province - is one of the cities which has had increasing population growth in recent decades, and has faced considerable physical development. In this paper, SHAHREKORD’s spatial expansion during the time period of 29 years, i.e.1355-1384, was studied and modeled. To do this, eight independent variables including height of land, slope, aspect of slope, land use / land cover, distance from the main roads, distance from the city center, distance from high education centers and distance from industrial areas as well as LOGISTIC REGRESSION model in Geographic Information System environment (ArcGis software, version 9.2) and SPSS software were used. The required information was obtained through library resources and different maps. The findings showed that LOGISTIC REGRESSION model can model SHAHREKORD’s spatial expansion with relatively high accuracy (overall accuracy 89%). The map obtained from this method determined the areas with spatial expansion probability based on past trend and it also presented suitable areas for future development. Based on this map, northern areas, northwestern and north eastern areas of SHAHREKORD are the most suitable areas for future expansion of this city.

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APA: Copy

KARAM, AMIR, HAJJEFOROUSH NIA, SHILA, & HAKIMI, HAMID REZA. (2010). URBAN EXPANSION SPATIAL MODELING USING LOGISTIC REGRESSION METHOD CASE STUDY: SHAHREKORD. JOURNAL OF GEOGRAPHICAL SCIENCES, 14(17), 41-64. SID. https://sid.ir/paper/400139/en

Vancouver: Copy

KARAM AMIR, HAJJEFOROUSH NIA SHILA, HAKIMI HAMID REZA. URBAN EXPANSION SPATIAL MODELING USING LOGISTIC REGRESSION METHOD CASE STUDY: SHAHREKORD. JOURNAL OF GEOGRAPHICAL SCIENCES[Internet]. 2010;14(17):41-64. Available from: https://sid.ir/paper/400139/en

IEEE: Copy

AMIR KARAM, SHILA HAJJEFOROUSH NIA, and HAMID REZA HAKIMI, “URBAN EXPANSION SPATIAL MODELING USING LOGISTIC REGRESSION METHOD CASE STUDY: SHAHREKORD,” JOURNAL OF GEOGRAPHICAL SCIENCES, vol. 14, no. 17, pp. 41–64, 2010, [Online]. Available: https://sid.ir/paper/400139/en

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