Difference between revisions of "Lesson07"
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+ | <font size="6">'''Geographical Segmentation with Spatially Constrained Cluster Analysis'''</font> | ||
=Content= | =Content= | ||
− | * | + | * Basic concepts of geographic segmentation |
− | * | + | * Conventional cluster analysis techniques |
− | * | + | * Approaches for clustering geographical referenced data |
− | * | + | ** Hierarchical clustering with spatial constraints |
− | + | ** Minimum spanning trees | |
+ | ** Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (Redcap) | ||
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− | References | + | =References= |
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+ | ==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. | 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. | ||
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Guo, D. 2008. “Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (Redcap).” International Journal of Geographical Information Science, 22(7): 801-823. | Guo, D. 2008. “Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (Redcap).” International Journal of Geographical Information Science, 22(7): 801-823. | ||
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+ | ==Applications== | ||
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+ | =R Packages= | ||
Revision as of 23:32, 8 January 2019
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Geographical Segmentation with Spatially Constrained Cluster Analysis
Contents
Content
- Basic concepts of geographic segmentation
- Conventional cluster analysis techniques
- Approaches for clustering geographical 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.