A TEST OF SPATIAL AUTOCORRELATION ANALYSIS USING AN ISOLATION-BY-DISTANCE MODEL

A TEST OF SPATIAL AUTOCORRELATION ANALYSIS USING AN ISOLATION-BY-DISTANCE MODEL A TEST OF SPATIAL AUTOCORRELATION ANALYSIS USING AN ISOLATION-BY-DISTANCE MODEL Robert R. Sokal 1 and Daniel E. Wartenberg 2 1 Department of Ecology, State University of New York at Stony Brook, Stony Brook, New York 11794 2 Department of Evolution, State University of New York at Stony Brook, Stony Brook, New York 11794 Using the isolation-by-distance model as an example, we have examined several assumptions of spatial autocorrelation analysis applied to gene frequency surfaces. Gene frequency surfaces generated by a simulation of Wright's isolation-by-distance model were shown to exhibit spatial autocorrelation, except in the panmictic case. Identical stochastic generating processes result in surfaces with characteristics that are functions of the process parameters, such as parental vagility and neighborhood size. Differences in these parameters are detectable as differences in spatial autocorrelations after only a few generations of the simulations. Separate realizations of processes with identical parameters yield similar spatial correlograms. We have examined the inferences about population structure that could have been made from these observations if they had been real, rather than simulated, populations. From such inferences, we could have drawn conclusions about the presence of selection, migration and drift in given natural systems. Submitted on February 25, 1983 Accepted on May 23, 1983 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Genetics Genetics Society of America

A TEST OF SPATIAL AUTOCORRELATION ANALYSIS USING AN ISOLATION-BY-DISTANCE MODEL

Genetics, Volume 105 (1): 219 – Sep 1, 1983

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Publisher
Genetics Society of America
Copyright
Copyright © 1983 by the Genetics Society of America
ISSN
0016-6731
eISSN
1943-2631
Publisher site
See Article on Publisher Site

Abstract

A TEST OF SPATIAL AUTOCORRELATION ANALYSIS USING AN ISOLATION-BY-DISTANCE MODEL Robert R. Sokal 1 and Daniel E. Wartenberg 2 1 Department of Ecology, State University of New York at Stony Brook, Stony Brook, New York 11794 2 Department of Evolution, State University of New York at Stony Brook, Stony Brook, New York 11794 Using the isolation-by-distance model as an example, we have examined several assumptions of spatial autocorrelation analysis applied to gene frequency surfaces. Gene frequency surfaces generated by a simulation of Wright's isolation-by-distance model were shown to exhibit spatial autocorrelation, except in the panmictic case. Identical stochastic generating processes result in surfaces with characteristics that are functions of the process parameters, such as parental vagility and neighborhood size. Differences in these parameters are detectable as differences in spatial autocorrelations after only a few generations of the simulations. Separate realizations of processes with identical parameters yield similar spatial correlograms. We have examined the inferences about population structure that could have been made from these observations if they had been real, rather than simulated, populations. From such inferences, we could have drawn conclusions about the presence of selection, migration and drift in given natural systems. Submitted on February 25, 1983 Accepted on May 23, 1983

Journal

GeneticsGenetics Society of America

Published: Sep 1, 1983

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