Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP)
By Diansheng Guo. International Journal of Geographical Information Science, 2008
355 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Economics and Econometrics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/ead17df8aaa1aed0e433b3ae1ec1ec5c7e785b2b
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In Artificial Intelligence
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Citations in the corpus
- A survey of community search over big graphs (2019, background): “questionable for performing online CS queries. 10.1.4 Location-Based Attributed Graphs The problem of CD on location-based attributed graphs (or geo-social networks) [17] has been extensively studied [77,84,55,173,33]. In [77], Girvan et al. introduced the geo-community, which is a graph of intensel”
- Spatial data mining and geographic knowledge discovery - An introduction (2009, background): “Existing regionalization methods that are based on a clustering concept can be classified into three groups: (1) multivariate (non-spatial) clustering followed by spatial processing to rearrange clusters into regions (Fovell & Fovell, 1993); (2) clustering with a spatially weighted dissimilarity mea”
- Measurement, Optimization, and Impact of Health Care Accessibility: A Methodological Review (2012, background): “Recent research aims to develop GIS-based automated methods that take into account both spatial contiguity and attribute homogeneity within the derived areas (e.g., Guo 2008; Mu and Wang 2008).”