Cartographic Modeling of Socio-Economic Characteristics of the Housing function in the City of Koya
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DOI:
https://doi.org/10.32410/huj-10554Keywords:
Modeling, Cartographic, Hosing Function, Social Characteristics, Economic CharacteristicsAbstract
Due to the importance of cartographic modeling in analyzing and understanding the majority of geographical phenomena and revealing facts in the form of maps or graphs, it attracted the attention of researchers and prompted them to conduct a lot of research on this topic, and to show the real picture of any phenomenon being investigated. The research creates a cartographic model of the residential job in the city of quisangaq, by distributing field survey forms that included a number of questions about a range of socio-economic characteristics of the residential job, in addition to encoding the information obtained, converting and representing it on maps. In order to reach the objectives of the research, a set of technologies was used in the GIS environment, represented by the Hot Spot and Kriging tools. The aim of the study is to prepare and explore a map of the housing function, to reveal the characteristics of the housing function in Koh city and to identify the problems related to this area, through which the available data can be easily transmitted to readers The approach followed in this research is represented by the descriptive-analytical approach. The study has reached a number of conclusions, the most important of which is : to create a mapping model the kriging model is the best type of interpolation model, it is compatible with the housing phenomenon, because the maps of other models such as IDW and Spline are not more beautiful and clearer.The getis-ord GI * Model is the best way to show, explain and analyze the characteristics of the housing function, because this model clearly demonstrates the high and low levels of the search area in the form of hot and cold spots. The model is selected. Also, using both Kriging and Hot Spot models, the phenomena outlined on the maps will be clearer and easier to understand.
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