Results 251 to 260 of about 1,558,704 (279)

Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models

Proceedings of the AAAI Conference on Artificial Intelligence, 2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they will respond to future climate change, habitat loss and other threats.
Steven Phillips, Jane Elith
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Medical Resource Allocation as a Function of Selected Patient Characteristics

Journal of Applied Social Psychology, 2006
This study assessed how changes in the characteristics of parental status, intelligence level, and mental health of hypothetical patients suffering from a kidney disease altered participants' decisions about allocating access to a life‐supporting artificial‐kidney machine.
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Estimating encounter‐habitat relationships with scale‐integrated resource selection functions

Journal of Animal Ecology
Abstract Encounters between animals occur when animals are close in space and time. Encounters are important in many ecological processes including sociality, predation and disease transmission. Despite this, there is little theory regarding the spatial distribution of encounters and no formal framework to relate environmental characteristics to ...
Michael E. Egan, Nicole T. Gorman, Storm Crews, Michael W. Eichholz, Dan Skinner, Peter E. Schlichting, Nathaniel D. Rayl, Eric J. Bergman, E. Hance Ellington, Guillaume Bastille‐Rousseau   +9 more
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Resource Selection Functions for Wood Stork Foraging Habitat in the Southern Everglades

Waterbirds, 2011
Abstract. Modeling habitat selection of species with specific foraging requirements is an effective means to evaluate landscape quality for restoration and conservation purposes. Proportional hazards regression, a discrete choice model, was used to develop resource selection functions for breeding Wood Stork in the southern Everglades during the 2006 ...
Herring, Heidi K., Gawlik, Dale E.
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Selection of floral resources to optimise conservation of agriculturally-functional insect groups

Journal of Insect Conservation, 2012
Non-crop vegetation in agricultural landscapes can provide a means of conserving insects in farmed landscapes and optimising on-farm ecosystem services as a result. Inclusion of floral resources may be particularly useful in conserving many beneficial insects, where groups including pollinators and pest natural enemies often rely on nectar and pollen ...
Carrie, Romain, George, David, Wackers, Felix   +2 more
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Using Resource Selection Functions to Improve Estimation of Elk Population Numbers

The Journal of Wildlife Management, 2008
Abstract: Stratification is commonly used to improve sampling efficiency of aerial surveys of ungulate populations with strata typically based on a priori information, such as preflight animal observations or vegetation attributes as surrogates for animal densities.
JAMES R. ALLEN, LESLIE E. MCINENLY, EVELYN H. MERRILL, MARK S. BOYCE   +3 more
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Estimating a resource selection function from two samples of resource units using logistic regression and discriminant function methods

1993
When a study of resource selection involves the collection of only two samples it is possible to simplify the estimation of a resource selection probability function. In particular, under certain conditions the estimation can be carried out using logistic regression or discriminant function analysis.
Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas   +2 more
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Estimating a resource selection probability function from a census of resource units using logistic regression

1993
One of the simplest ways of estimating a resource selection probability function involves taking a census of the used and unused units in a population of resource units, and estimating a logistic function for the probability of use as a function of variables that are measured on the units.
Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas   +2 more
openaire   +1 more source

Review for "Solving the sample size problem for resource selection functions"

2021
  +4 more sources

Resource selection functions: taking space seriously?

Trends in Ecology & Evolution, 1999
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