Explore techniques for extracting patterns and trends from large geospatial datasets using spatial data mining algorithms, clustering, classification, and association analysis.
Spatial Data Mining: Definition: Spatial data mining is the process of discovering interesting and previously unknown patterns and relationships in spatial data. It involves analyzing data that has a spatial or geographic component. Types: Spatial Clustering: Grouping similar spatial objects together based on their spatial proximity. Spatial Classification: Assigning spatial objects to pred...…
Upgrade to Unlock