Specialized Agglomerations with Areal Data: Model and Detection

Haedo, Christian;Mouchart, Michel
(2013) , 29 pages

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  • Haedo, ChristianUniversity of Bologna in Argentine Republic
    Author
  • Mouchart, MichelUCLouvain
    Author
Abstract
This paper develops new statistical and computational methods for the automatic detection of spatial clusters displaying an over- or under- relative specialization spatial pattern. A proba- bility model provides a space partition into clusters representing homogenous portions of space as far as the probability of locating a primary unit is concerned. A cluster made of contigu- ous regions is called an agglomeration. A greedy algorithm detects specialized agglomerations through a model selection criteria. A random permutation test evaluates whether the contigu- ity property is signicant. Finally this algorithm is run on Argentinean data. Evaluating the proposed methodology concludes the paper.
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Haedo, C., & Mouchart, M. (2013). Specialized Agglomerations with Areal Data: Model and Detection (ISBA Discussion Paper 2013/32). https://hdl.handle.net/2078.5/204145