Cities, whose emergence dates back to ancient times and whose formation has accelerated with the settlement, are the largest settlements where human communities live. Cities develop from the past to the present, and this is caused by more than one
factor. Some of these factors are considered as natural factors such as landforms and climatic conditions, and some as human factors such as agriculture, industry and service sectors. Factors in both groups are determinant in the population of cities, and all of these play an important role in the development of cities from the past to the present. Considering a city developed in terms of human factors; It is seen that there are many jobs and other opportunities and these increase the attractiveness of the city. This situation causes migration to occur and the population to increase. The increasing population, on the other hand, creates some needs and progress is being made
in areas such as industry, trade and education in order to meet these needs. Considering all these, it is obvious that the population factor is directly related to the development of the city and many parameters that affect this factor can be mentioned. Demographic factors are taken into consideration, evaluated the development level of cities in Turkey. In this case, it is understood that the effect degree of many parameters that the population factor depends on may differ from city to city. In order to examine this situation, it may be possible to handle the changes that occur depending on the location of the parameters and to map the resulting distribution by using spatial analysis techniques. Using Geographically Weighted Regression (GWR) method in this context, which can work in integration with Geographical Information Systems (GIS), will allow spatial relationships to be explored and modeled.
In this study, Geographically Weighted Regression method was used. GWR, one of the spatial statistical methods; It enables the location-dependent relationships of a situation to be investigated and the effects of factors affecting this situation to be predicted
positionally. The method uses a weighting scheme for each of the factors considered; It enables the determination of which parameters are determinative on the situation to be investigated and to observe the effects of these parameters depending on the location on the studied area by modeling them.
Population factor, which determines the development of cities, as dependent variable; Factors such as migration, industry, tourism, agriculture, education, health, transportation, employment were determined as independent variables. In order to examine how the dependent variable is affected by the independent variables, it is aimed to create a model using the GWR method. The results obtained with the model, the effects of the independent variables on the dependent variables was investigated on all cities in Turkey
spatially. At the same time, it is purposed to obtain the spatial pattern of these variables in the cities of our country.
Using with GWR method in this study , the determining factors on Turkey’s population have been identified. Then, with these factors, the most suitable model representing the country’s population was created. The influence level of the factors in the created
model on each city is modeled spatially. The development levels of the cities were examined with the results. Results are presented with maps produced using Geographical Information Systems via ArcGIS software. It is thought that the results will add a different perspective to the studies on spatial analysis.