Determining The Spatial Variability Factors of Functional Weight Between the Cities of Erbil Province Using Regression Analysis (LRA(
Ameer Qader Azeez, Nashwan Shukri Abdullah
Abstract
Open-access reader
Ameer Qader Azeez, Nashwan Shukri Abdullah
Abstract
Open-access reader
The study of services and the pattern of their spread and the variation in their geographical distribution became particularly important to researchers, and the aim of this study is to identify the most important factors responsible for the spatial variation of functional weight between the urban centers of Erbil province, through the use of linear regression analysis and two other methods (OLS) ordinary Lest Square and Geographically weighted Regression (GWR) which are among the geographical information systems (GIS), and one of the most important results of the study is that services (industrial, religious, health, administrative) played a key role in the spatial variability of functional weight at the provincial level, but at the local level the factors were found to be unknown.
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The study of services and the pattern of their spread and the variation in their geographical distribution became particularly important to researchers, and the aim of this study is to identify the most important factors responsible for the spatial variation of functional weight between the urban centers of Erbil province, through the use of linear regression analysis and two other methods (OLS) ordinary Lest Square and Geographically weighted Regression (GWR) which are among the geographical information systems (GIS), and one of the most important results of the study is that services (industrial, religious, health, administrative) played a key role in the spatial variability of functional weight at the provincial level, but at the local level the factors were found to be unknown.
Key concepts: Geographically Weighted Regression, Ordinary least squares, Geography, Regression analysis, Spatial variability, Spatial analysis, Variation (astronomy), Regression