Visual Analysis of Spatial Metadata
Savita Kumari Sheoran, Vinti Parmar · International Journal of Computer Theory and Engineering · 2020
Spatial data gathered from various data sources contains huge amount of metadata.Large amount of metadata creates problem for the user to get insight into the required data for any specific application.The problem of selecting required data can be solved by applying data query and spatial query in GIS tool.This paper is attempted to select, visualize and analyze spatial metadata by performing query operations followed by visualizing techniques and plotting graphs to find the densely populated areas in Gurugram District.Spatial data of Gurugram District having large set of metadata information is added to QGIS tool.Query operations followed by dense pixel display visualization technique is used in GIS for better understanding of result data set.The result set having Gurgugram City, Farukhnagar, Sohna, Pataudi and Manesar are further analyzed by plotting graphs.