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Introduction to Spatial Data Mining by Igwe Victor is a document available to read on EtoBox.

What is Introduction to Spatial Data Mining about?

Spatial data mining is the process of discovering patterns from large spatial datasets. It involves techniques like classification, clustering, and outlier detection adapted for spatial data which has characteristics like spatial autocorrelation and regional patterns. Examples of patterns include hotspots, feature interactions, and co-locations. Spatial data mining can be used for applications like land use planning, habitat mapping, and identifying cancer clusters.

Author

Igwe Victor

Language

EN