Title :
Strategy for slum reallocation in QGIS
Author :
Pandey, Vishal ; Bharaj, Tanveen Singh ; Saini, Vinay Kumar
Author_Institution :
Maharaja Agrasen Inst. of Technol., New Delhi, India
Abstract :
Slum reallocation is one of the major tasks of the Indian government to make India a slum free country and provide everyone with an appropriate accommodation. Reallocation part of slum cluster was a very tedious & completely manual and time consuming process involving complex calculations with various loop holes for error. In order to eradicate this problem and better functioning, this paper focuses on visual geospatial mapping instead of paper studying and even eradicate the manual marking and analysis being done to draft a plan of action. The proposed solution uses QGIS (Quantum Geographic Information System) software to make geospatial map with all the relevant information about that region /slum cluster. The proposed solution generates a complete plan of action for slum cluster reallocation taking in all the concerned constraints thus helping the government to put in their investment in the right direction for benefit of the citizens and beautification of the city.
Keywords :
geographic information systems; government data processing; investment; Indian government; QGIS software; investment; quantum geographic information system software; slum free country; slum reallocation strategy; time consuming process; visual geospatial mapping; Clustering algorithms; Geospatial analysis; Global Positioning System; Government; Open source software; Visualization;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1