A computationally efficient method for delineating irregularly shaped spatial clusters

J.C. Duque, J. Aldstadt, E. Velasquez, Jose L. Franco, A. Betancourt Arango

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

7 Citaten (Scopus)

Samenvatting

In this paper, we present an efficiency improvement for the algorithm called AMOEBA, A Multidirectional Optimum Ecotope-Based Algorithm, devised by Aldstadt and Getis (Geogr Anal 38(4):327-343, 2006). AMOEBA embeds a local spatial autocorrelation statistic in an iterative procedure in order to identify spatial clusters (ecotopes) of related spatial units. We provide an analysis of the computational complexity of the original AMOEBA and develop an alternative formulation that reduces computational time without losing optimality. Empirical evidence is provided using georeferenced socio-demographic data in Accra, Ghana.

Originele taal-2Engels
Pagina's (van-tot)355-372
Aantal pagina's18
TijdschriftJournal of Geographical Systems
Volume13
Nummer van het tijdschrift4
DOI's
StatusGepubliceerd - dec 2011
Extern gepubliceerdJa

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  • Citeer dit

    Duque, J. C., Aldstadt, J., Velasquez, E., Franco, J. L., & Betancourt Arango, A. (2011). A computationally efficient method for delineating irregularly shaped spatial clusters. Journal of Geographical Systems, 13(4), 355-372. https://doi.org/10.1007/s10109-010-0137-1