Difference between revisions of "Lesson07"
Jump to navigation
Jump to search
| Line 34: | Line 34: | ||
* Basic concepts of geographic segmentation | * Basic concepts of geographic segmentation | ||
* Conventional cluster analysis techniques | * Conventional cluster analysis techniques | ||
| − | * Approaches for clustering | + | * Approaches for clustering geographically referenced data |
** Hierarchical clustering with spatial constraints | ** Hierarchical clustering with spatial constraints | ||
** Minimum spanning trees | ** Minimum spanning trees | ||
Revision as of 23:32, 8 January 2019
IS415 GeoSpatial Analytics and Applications
|
|
|
|
|
|
Geographical Segmentation with Spatially Constrained Cluster Analysis
Contents
Content
- Basic concepts of geographic segmentation
- Conventional cluster analysis techniques
- Approaches for clustering geographically referenced data
- Hierarchical clustering with spatial constraints
- Minimum spanning trees
- Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (Redcap)
References
Methods
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.
