Abstract

Spatial Analysis Tools in Geographic Information Systems (GIS) are considered the best means of detecting spatial disparities, relationships and interrelationship between different geographical phenomena. This is done by using spatial analysis tools in the matching and intersecting processes that result in a spatial relationship between phenomena. The current research aims to use Spatial Analysis Tools applications in the matching and intersecting processes, which is one of the best technical methods capable of deducing the spatial model of the relationship between phenomena in the Arc GIS V.9.3 programme and in studying the spatial relationship between soil and agricultural crops resulting from digital classification of the space statement, in the light of Anderson classification using the Erdas imagine programme and the soil productivity map in Wana District in Telkaif District of Nineveh Governorate. The aim is to detect spatial variation in agricultural crops area between the provinces by types of soil in the agricultural season 2009-2010. This is confirmed by the results of the spatial analysis between the two phenomena, and the production of spatial maps with high-resolution results.