Lesson07
IS415 GeoSpatial Analytics and Applications
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Content
- What is geospatial analytics?
- Motivation of promoting geospatial analytics
- Case study
- An overview of Geographic Information Systems (GIS)
- GIS versus Geospatial Analytics
Lesson 7: Geographical Segmentation with Spatially Constrained Cluster Analysis • Basic concepts of geographic segmentation • Conventional cluster analysis techniques • Approaches for clustering geographical referenced data o Hierarchical clustering with spatial constraints o Minimum spanning trees o Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (Redcap)
References
Assuncao, R. M., Neves, M.C., Camara, G. and Costa Freitas, C.D. 2006. “Efficient Regionalization Techniques for Socio-Economic Geographical Units Using Minimum Spanning Trees.” International Journal of Geographical Information Science 20: 797–811.
Chavent, M., Kuentz-Simonet, V., Labenne,A. and Saracco, J. 2018. “ClustGeo: an R package for hierarchical clustering with spatial constraints” Computational Statistics. 33: 1799-1822.
Guo, D. 2008. “Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (Redcap).” International Journal of Geographical Information Science, 22(7): 801-823.
