Geospatial Analysis For Village Level Social Profiling: A Case Study Of Solapur District

Research Article
Yedage A S and Baviskar S.P
DOI: 
xxx-xxxxx-xxxx
Subject: 
science
KeyWords: 
GIS, Spatial Autocorrelation, Getis-Ord Gi*, Hot Spot
Abstract: 

Geographic Information Systems (GIS) and location-based services represent the next golden age of maps and cartography. In this paper, we consider some of the technological changes like use of GIS, which could be useful for generating a system for village level information in India. For the sustainable development of the district as a whole, the primary requirement is to collect the information at village level for spatial statistical analysis related to demographic parameters like male/female ratio and Schedule caste population etc. Study region include 11 talukas and 1151 villages and 11 urban areas in Solapur district. For Spatial Statistics, both the techniques viz; Spatial Autocorrelation and Getis-Ord Gi*a facility to identify trends, patterns and clustering of the data was used. Hot Spot analysis of Scheduled Caste population showed a major Hot Spot in the west parts of Solapur district and strong Cold Spot in the North East parts of the district. The male/female ratio indicates the highway influence and migration of male population towards urban centres as there is a Cold spot around the Solapur city. A flexible and user friendly information system was developed to assist planners for village level planning with reference to managing the resources.