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Information Journal Paper

Title

MODELING THE SPATIAL RELATIONS IN THE FACTORS EFFECTIVE ON INSTALLATION OF CURRENT FINANCIAL AND CREDIT INSTITUTES OF TEHRAN USING GEOGRAPHICALLY WEIGHTED REGRESSION

Pages

  15-19

Abstract

 Introduction: Financial and credit institutes, especially banks, are assumed as the most important economic centers in the urban space. The significant role of these centers in offering services to the citizens in one hand, and the competition between these centers on the other hand reveal the necessity of investigations about the optimum place for their site selection (Rahnamaee et al., 2012: 48). In such studies, the amount and the way that the space would affect is of importance. Neglecting the effect of the space would lead to consequent errors in estimating, forecasting, and projecting (Soltani et al., 2000: 100). Multiplicity of effective variables in site selection in urban spaces has made the spatial decision makings complex, and modeling SPATIAL RELATIONS necessary. Modeling these relations requires spatial methods due to the spatial nature of these factors...

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    APA: Copy

    ASHOURNEJAD, GHADIR, FARAJI SABOKBAR, HASSAN ALI, & AMIRASLANI, FARSHAD. (2016). MODELING THE SPATIAL RELATIONS IN THE FACTORS EFFECTIVE ON INSTALLATION OF CURRENT FINANCIAL AND CREDIT INSTITUTES OF TEHRAN USING GEOGRAPHICALLY WEIGHTED REGRESSION. GEOGRAPHICAL URBAN PLANNING RESEARCH, 4(2 ), 15-19. SID. https://sid.ir/paper/396196/en

    Vancouver: Copy

    ASHOURNEJAD GHADIR, FARAJI SABOKBAR HASSAN ALI, AMIRASLANI FARSHAD. MODELING THE SPATIAL RELATIONS IN THE FACTORS EFFECTIVE ON INSTALLATION OF CURRENT FINANCIAL AND CREDIT INSTITUTES OF TEHRAN USING GEOGRAPHICALLY WEIGHTED REGRESSION. GEOGRAPHICAL URBAN PLANNING RESEARCH[Internet]. 2016;4(2 ):15-19. Available from: https://sid.ir/paper/396196/en

    IEEE: Copy

    GHADIR ASHOURNEJAD, HASSAN ALI FARAJI SABOKBAR, and FARSHAD AMIRASLANI, “MODELING THE SPATIAL RELATIONS IN THE FACTORS EFFECTIVE ON INSTALLATION OF CURRENT FINANCIAL AND CREDIT INSTITUTES OF TEHRAN USING GEOGRAPHICALLY WEIGHTED REGRESSION,” GEOGRAPHICAL URBAN PLANNING RESEARCH, vol. 4, no. 2 , pp. 15–19, 2016, [Online]. Available: https://sid.ir/paper/396196/en

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