Clustering and Regionalization - Geographic Data Science with …
So, which one is a “better” regionalization? Well, regionalizations are often compared based on measures of geographical coherence, as well as measures of cluster coherence. The former involves measures of cluster shape that can answer to questions like “are clusters evenly …
Identifying geographic clusters: A network analytic approach
2015年11月1日 · To analyze cluster life cycles data should be: (a) referring to specific activities; (b) geo-localized at the finest possible level of resolution (i.e. street address); (c) time resolved …
- 作者: Roberto Catini, Dmytro Karamshuk, Orion Penner, Massimo Riccaboni, Massimo Riccaboni
- Publish Year: 2015
Defining clusters of related industries | Journal of Economic …
2015年6月3日 · There is an increasing need for cluster-based data to support research, facilitate comparisons of clusters across regions and support policymakers in defining regional …
Geographical cluster - Wikipedia
A geographical cluster is a localized anomaly, usually an excess of something given the distribution or variation of something else. Often it is considered as an incidence rate that is unusual in that there is more of some variable than might be expected. Examples would include: a local excess disease rate, a crime hot spot, areas of high unemployment, accident blackspots, unusually high positive residuals from a model, high concentrations of flora or fauna, areas with high levels of c…
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2013年11月25日 · The organic cluster identification methodology we propose is especially useful when researchers work in global settings, where data available at different geographic units …
2015年12月15日 · existence of two clusters: cluster 1 in unit A and cluster 2 between units B and E. This example illustrates three basic problems with using predetermined geographic units to …
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made under the label ‘evolutionary economic geography’ (for an earlier account, see frenken, 2007; boschma and frenken, 2011), we have chosen to focus on the debate on cluster …
outlining a comprehensive model of cluster formation and testing its robustness against data collected from a sample of global cluster managers. The results indicate the significance of a …
An overview of clustering methods in geographic data analysis
A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. Although classication is an effective means for …
Local fuzzy geographically weighted clustering: a new method for ...
2020年8月21日 · Fuzzy geographically weighted clustering has been proposed as an approach for improving fuzzy c-means algorithm when applied to geodemographic analysis. This …