A NOVEL APPROACH FOR GEOREFERENCED DATA ANALYSIS USING SOFT CLUSTERING ALGORITHM

Y. Sophiya Banu, Y.Soniya Banu, V.V. Karthikeyan

Abstract: The process of defining its existence in physical space is called as Georeferenceing.That is establishing its terms of projections or coordinate systems.When data from different sources need to be combined and then used in a GIS application.In this work georeferenced data on soil map is clustered using a soft clustering algorithm. Most georeferencing tasks are undertaken to generate new map. Thus a map generated using GIS software is clustered for data analysis of soil type and vegetation possibilities.Remotely sensed data plays an important role in data collection,the platforms usually consist of aircraft and satellites.GIS is attached to many operations and has many applications related to engineering, planning, management, telecommunications and business.

Keywords: Soil map, K-Means Clustering Algorithm,Geographic Information System

DOI: https://doi.org/10.15623/ijret.2013.0205009