Spatial models for line transect sampling View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-06

AUTHORS

Sharon L. Hedley, Stephen T. Buckland

ABSTRACT

This article develops methods for fitting spatial models to line transect data. These allow animal density to be related to topographical, environmental, habitat, and other spatial variables, helping wildlife managers to identify the factors that affect abundance. They also enable estimation of abundance for any subarea of interest within the surveyed region, and potentially yield estimates of abundance from sightings surveys for which the survey design could not be randomized, such as surveys conducted from platforms of opportunity. The methods are illustrated through analyses of data from a shipboard sightings survey of minke whales in the Antarctic. More... »

PAGES

181

References to SciGraph publications

  • 1997-06. A Generalized Linear Model Approach to Spatial Data Analysis and Prediction in JOURNAL OF AGRICULTURAL, BIOLOGICAL AND ENVIRONMENTAL STATISTICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1198/1085711043578

    DOI

    http://dx.doi.org/10.1198/1085711043578

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040307468


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