Abstract
Spatial data mining helps to identify interesting patterns from the spatial data sets. However, geo spatial data requires substantial data pre-processing before data can be interrogated further using data mining techniques. Multi-dimensional spatial data has been used to explain the spatial analysis and SOLAP for pre-processing data. This paper examines some of the methods for pre-processing of the data using Arc GIS 10.2 and Spatial Analyst with a case study dataset of a watershed.
RAS ID
18505
Document Type
Conference Proceeding
Date of Publication
1-1-2014
Faculty
Faculty of Health, Engineering and Science
School
School of Computer and Security Science / eAgriculture Research Group
Copyright
free_to_read
Publisher
Australian Society of Information and Communication Technologies in Agriculture
Included in
Agricultural Science Commons, Databases and Information Systems Commons, Hydrology Commons
Comments
Nallan, S. , Armstrong, L. , Croke, B., & Tripathy, A. K. (2014). Geospatial data pre-processing on watershed datasets: A GIS approach. Proceedings of Asian Federation for Information Technology in Agriculture. (pp. 328-336). Perth, W.A. Australian Society of Information and Communication Technologies in Agriculture. Available here