Study of Spatial Dispersion of Indicators of Sustainable Urban-Rural Development with Emphasis on Educational Indices in Golestan Province

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The present study aimed to investigate spatial inequality based on educational indicators in the area of Golestan province as one of the border provinces. In order to achieve this goal, 22 educational units were used according to reliable statistics and reliable statistical data of 1392 province. The data collection method is a documentary-type library that has been analyzed using VIKOR and SAW multi-criteria decision-making techniques. First, the distribution of population and distribution of educational indicators based on relative entropy techniques and Gini coefficient were evaluated. Spearman statistical technique was also used to calculate the correlation between population variables and educational indices in cities of Golestan province. The ARC GIS 9.3 software was used to display the spatial-spatial indices. The results of the entropy coefficient show that the distribution of population with the score of 0.8877 and the Gini coefficient with score (0) represents a balanced and proportional distribution of population in the county level of Golestan province. The findings of the Wicver and Saw techniques indicate that the distribution of educational indicators in Golestan province is very heterogeneous and unequal, so that Gorgan (0/725) and Marawehpeyh (0/166) Accordingly, they are the most enjoyable and deprived cities in the province, and there is a huge difference between them. Also, the correlation between population distribution and city rank with Spearman correlation coefficient has been evaluated. The results of the study show that educational indicators in the cities of Golestan province are not based on the distribution factor of the population, which indicates lack of management And proper regional and urban planning.

Language:
Persian
Published:
Geographical Planning of Space Quarterly Journal, Volume:9 Issue: 34, 2020
Pages:
245 to 260
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