Spatial Models for Line Transect Sampling

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 abun...

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Bibliographic Details
Published in:Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 2004-06, Vol.9 (2), p.181-199
Main Authors: Hedley, Sharon L., Buckland, Stephen T.
Format: Article
Language:English
Subjects:
abundance
Agronomy. Soil science and plant productions
Animals
Biological and medical sciences
Biometrics, statistics, experimental designs, modeling, agricultural computer applications
Cetacea
Data collection
Data lines
Density estimation
Environmental monitoring
Estimation methods
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
Habitat
Ice
Modeling
Observational research
Poisson process
Q1
Q2
Spatial models
Whales
Wildlife
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Summary: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.
ISSN:1085-7117
1537-2693
DOI:10.1198/1085711043578