Modeling the geographic distribution of the population of Kirkuk city using spatial statistical analysis techniques in GIS

Abstract

The study of spatial organization of population studies is of great importance in geographical studies from a theoretical and applied perspective. Geographical technologies have revolutionized the analysis and processing of spatial data. They have created new concepts that have reconsidered previous traditional methods, and have provided different models and methods capable of simulating reality according to spatial models that combine mathematics, geographic statistics and computers, in the spatial processing and analysis processes to model the spatial organization of the population and interpret it based on spatial statistical methods (Spatial Statistics Tools) in the ArcGIS10.5 program. The cluster and outlier analysis model and the spatial autocorrelation model were used to analyze and explain the spatial variation of population distribution in the city of Kirkuk in Iraq. These softwares provide spatial statistical measurement methods to quantitatively describe population spatial models and determine the spatial relationships of distribution models with geographical factors, which is an important step to understand the spatial behavior of the geographical phenomenon. Perhaps the most important thing that statistical techniques provide is the ability to verify the results we reach, as they provide us with indicators to determine the probability of the validity of the results according to a certain level of significance and degree of statistical confidence. Up to 99% (in the current research.