1969/09/01 by K. Ruben Gabriel, Robert R. Sokal · 1,294 citations
Computer Science · Economics, Econometrics and Finance · Environmental Science · Mathematics · #Bayesian Methods and Mixture Models #Computer science #Data science #Demography #Geographic variation #Geography #Mathematics #Sociology #Soil Geostatistics and Mapping #Spatial and Panel Data Analysis #Statistical analysis #Statistics #Variation (astronomy)
paper · doi:10.2307/2412323
published in Systematic Zoology 18(3), 259 (Allen Press)
crossref issued 1969/09/01 · crossref published 1969/09/01 · crossref published-print 1969/09/01 · openalex publication_date 1969/09/01 · crossref created 2006/05/10 · crossref deposited 2017/08/23 · openalex created_date 2025/10/10 · crossref indexed 2026/07/31 · openalex updated_date 2026/08/01
The authors discuss the problems of describing geographic variation data and develop statistical methods for categorizing sets of populations sampled from different localities. The general approach of the simultaneous test procedures, available with a variety of statistical tests and for continuous as well as for categorical data, is employed with these techniques. Geographical regions are defined as sets of connected localities, with connectedness being defined geometrically. Maximal acceptable connected sets of localities (defined as regions) or coarsest acceptable connected partitions of the entire set of localities are found by these procedures. These are illustrated with several examples.