Spatio-Temporal Clustering for Environmental Data: A Review

? With the help of already known data, facts and figures, the process of extracting new useful information which was earlier not known is termed as data mining. The practice of data mining has been successfully implemented to a number of real-world applications. Researchers and data miners have done a lot of work on the environmental data and have generally done the spatio-temporal clustering of the data to extract some new and meaningful information regarding the environment related data which can be used to analyze environmental data by governmental authorities when decisions on such data are to be made in order to be provide deep insight of the data. [5] This paper aims to review different design methodologies, the protocols and government regulatory acts, bills and standards, spatio-temporal clustering techniques and the visualization tools used for the implementation of the environmental data.