An autologistic model for the spatial distribution of wildlife

N. H. Augustin, M. A. Mugglestone, S. T. Buckland

Research output: Contribution to journalArticle

211 Citations (Scopus)

Abstract

A new method for estimating the geographical distribution of plant and animal species from incomplete field survey data is developed. Wildlife surveys are often conducted by dividing a study region into a regular grid and collecting data on abundance or on presence/absence from some or all of the squares in the grid. Generalized linear models can be used to model the spatial distribution of a species within such a grid by relating the response variable (abundance or presence/absence) to spatially referenced covariates. Such models ignore or at best indirectly model dependence or unmeasured covariates, and the intrinsic spatial autocorrelation arising for example in gregarious populations. A procedure for use with presence/absence data in which spatial autocorrelation is modelled explicitly is achieved by extending a logistic model to include an extra covariate which is derived from the responses at neighbouring squares. The extended model is known as an autologistic model.

Original languageEnglish
Pages (from-to)229-247
Number of pages19
JournalJournal of Applied Ecology
Volume33
Issue number2
Publication statusPublished - 1 Dec 1996

ASJC Scopus subject areas

  • Ecology

Cite this

An autologistic model for the spatial distribution of wildlife. / Augustin, N. H.; Mugglestone, M. A.; Buckland, S. T.

In: Journal of Applied Ecology, Vol. 33, No. 2, 01.12.1996, p. 229-247.

Research output: Contribution to journalArticle

Augustin, NH, Mugglestone, MA & Buckland, ST 1996, 'An autologistic model for the spatial distribution of wildlife', Journal of Applied Ecology, vol. 33, no. 2, pp. 229-247.
Augustin, N. H. ; Mugglestone, M. A. ; Buckland, S. T. / An autologistic model for the spatial distribution of wildlife. In: Journal of Applied Ecology. 1996 ; Vol. 33, No. 2. pp. 229-247.
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