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Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home-range analyses with least-squares cross-validation

Abstract:

1. Kernel-density estimation (KDE) is one of the most widely used home-range estimators in ecology. The recommended implementation uses least squares cross-validation (LSCV) to calculate the smoothing factor (h) which has a considerable influence on the home-range estimate. 2. We tested the performance of least squares cross-validated kernel-density estimation (LSCV KDE) using data from global positioning system (GPS)-collared lions subsampled to simulate the effects of hypothetical radio-tra...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Role:
Author
Journal:
JOURNAL OF ANIMAL ECOLOGY More from this journal
Volume:
74
Issue:
3
Pages:
455-463
Publication date:
2005-05-01
DOI:
ISSN:
0021-8790
Language:
English
Keywords:
Pubs id:
pubs:210341
UUID:
uuid:1c46b75a-08f1-404f-8e71-0fd654d63613
Local pid:
pubs:210341
Source identifiers:
210341
Deposit date:
2012-12-19

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