Spatial Analysis of Rural Poverty in Rural Settlements of Pakdasht County Using Spatial Autocorrelation Methods

Poverty is a social, economic, political, cultural and political phenomenon that has long been the greatest of human problems, and human society, in spite of the tremendous changes that has taken place in various fields of science, is now struggling with. The present research is applied in a descriptive and analytical manner and is based on the studies conducted in this field and the analysis of the content of theoretical foundations and the extraction of indicators of poverty reduction on the one hand, and on the other hand, relying on the opinions of the relevant experts Using the Delphi model and the use of deep interviewing tools, the questionnaire, as well as the use of SPSS software in the statistical analyzes and ARC-GIS, GEODA TM and spatial statistics analysis were selected. The analysis shows that 8 villages in the high poverty range, 21 villages in a wide range, 8 in the medium range, 5 in low and 5 in the low range. The results also show that 3 cold clusters (LLL) and 5 hot clusters (HH) were identified in the region, which is the largest hot spot in the southeast of the city near Semnan and is located in villages In this spot, there is a high rural poverty and are adjacent to each other and is the largest cold spot in the northwest of the city and near the city of Tehran and Ray.