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GeoWebCln: An intensive cleaning architecture for geospatial metadata

100%

Kumari Sheoran S. , Parmar V.

tom 41

nr 1

51-62

Developments in big data technology, wireless networks, Geographic information system (GIS) technology, and internet growth has increased the volume of data at an exponential rate. Internet users are generating data with every single click. Geospatial metadata is widely used for urban planning, map making, spatial data analysis, and so on. Scientific databases use metadata for computations and query processing. Cleaning of data is required for improving the quality of geospatial metadata for scientific computations and spatial data analysis. In this paper, we have designed a data cleaning tool named as GeoWebCln to remove useless data from geospatial metadata in a user-friendly environment using the Python console of QGIS Software.

IDENTIFICATION OF ALTERNATIVE LANDFILL SITE USING QGIS IN A DENSELY POPULATED METROPOLITAN AREA

100%

Sheoran S. K. , Parmar V.

tom 39

nr 3

Appropriate landfill site selection for disposal of solid waste is a very complicated assignment, as it needs multicriteria analysis of various parameters. In this study, we have used QGIS for identification of alternative landfill site in Gurugram district, a satellite city of New Delhi. Various criteria are analysed for selecting the landfill sites. Weight and rank are assigned to the criterion such as road networks, presence of water bodies, residential locations, and depth of the underground water table by using the Analytic Hierarchy Process (AHP). Five possible landfill sites have been identified for solid waste disposal based upon the AHP method analysis and overlay analysis in GIS tool in Gurugram district. The methodology used in this paper is very efficient for performing multicriteria analysis and can be generalised for selecting landfill sites in other areas with similar demographics.