Abstract

The research focuses on managing the spatial relationship between thequality of the soil and its productivity and the area of the wheat crop, depending on Al-Tai’s classification of productive capacity and modern/visualizationsthrough which the wheat /crop area can be deduced. As the processes of processing and spatial /analysis (Spatial Analysis Tools) in geographic informationsystems are the best way to reveal spatial /disparities, relationships and/ mutual correlations between different /geographical phenomena, using the applications of spatial analysis tools in the /matching and intersection processes thatlead to the statement of the spatial relationship between phenomena, and thecurrent research aims To the use of the /applications of spatial analysis tool(Overlay and Intersection), which is one of the best technical methods capableof deducing the spatial model of the relationship /between phenomena, and inour study the spatial /relationship between soil and wheat crop area resultingfrom the classification processes directed to the visual LANDSAT8 satellite, according to /Anderson›s classification, using the ARC program (ARC GIS10.8) andthe soil productivity map in Al-Riyadh sub-district in Hawija district in Kirkukgovernorate, to reveal the spatial /variation /in areas planted with wheat forthe year 2020, and the research /found that the degree of correlation reached(0.91) according to The Pearson relationship is positive and very strong

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The article was added to IASJ on 2021-11-17

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