Comprehensive Study of Applications of Spatio Temporal Data Mining in Gis

Malik, Rajat; Nandal, Rainu

doi:10.26483/ijarcs.v9i2.5686

ijarcs

2018

DOI: 10.26483/ijarcs.v9i2.5686

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Comprehensive Study of Applications of Spatio Temporal Data Mining in Gis

Rajat Malik¹,

Rainu Nandal²

Abstract: Abstract:The advancement in database and internet technology has led to large debris of data being collected. The process of extraction knowledge led to coining of new term called data mining. In this paper we have discussed the spatio temporal dimension of data mining and its applications in field of Geographical Information Systems. The applications include forest fires, Maize yield, Weather forecasting etc.

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Analyzing the Production and Use of Fossil Fuels: A Case for Data Mining and GIS

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As technology progresses and data grows both larger and more complex, techniques are being developed to keep up with the exponential growth of information. The term “data mining” is a blanket term used to describe an approach to find anomalies and correlations in a large dataset. This approach involves leveraging data mining software to manipulate and prepare data, apply statistics to quantify trends and characteristics in the data from a high level, and potentially apply advanced techniques like machine learning to identify patterns that wouldn’t be apparent otherwise. In this case study, data mining aided a GIS in displaying substantial amounts of oil, gas, and coal data to make observations regarding two groups: OPEC and the largest non-OPEC fossil fuel producers from 1980 to 2020. To make more sophisticated observations and apply additional context to the trends observed in the data, populations and GDP data for the same period were included in the analysis to enrich the hydrocarbon production and consumption data and to help explain how these valuable resources are traded and consumed. This case study will apply appropriate data mining methods to feed data to a GIS and showcase trends that wouldn’t be apparent otherwise and will additionally identify topics for further research.

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Analyzing the Production and Use of Fossil Fuels: A Case for Data Mining and GIS

Conde

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Comprehensive Study of Applications of Spatio Temporal Data Mining in Gis

Cited by 1 publication

References 7 publications

Analyzing the Production and Use of Fossil Fuels: A Case for Data Mining and GIS

Analyzing the Production and Use of Fossil Fuels: A Case for Data Mining and GIS

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