KERNEL DENSITY ESTIMATORS OF HOME RANGE: SMOOTHING AND THE AUTOCORRELATION RED HERRING

Ecology ◽  
2007 ◽  
Vol 88 (4) ◽  
pp. 1059-1066 ◽  
Author(s):  
John Fieberg
Keyword(s):  
Home Range ◽  
Kernel Density ◽  
Kernel Density Estimators ◽  
Density Estimators

scholarly journals An Evaluation of the Accuracy of Kernel Density Estimators for Home Range Analysis

Ecology ◽  
1996 ◽  
Vol 77 (7) ◽  
pp. 2075-2085 ◽  
Author(s):  
D. Erran Seaman ◽  
Roger A. Powell
Keyword(s):  
Home Range ◽  
Kernel Density ◽  
Range Analysis ◽  
Kernel Density Estimators ◽  
Home Range Analysis ◽  
Density Estimators

scholarly journals Lots of movement, little progress: A review of reptile home range literature

2020 ◽  
Author(s):  
Matt Crane ◽  
Inês Silva ◽  
Benjamin Michael Marshall ◽  
Colin Thomas Strine
Keyword(s):  
Home Range ◽  
Spatial Ecology ◽  
Brownian Bridge ◽  
Kernel Density ◽  
Analytical Techniques ◽  
Sufficient Information ◽  
Substantial Impact ◽  
Reporting Practices ◽  
Kernel Density Estimators ◽  
Density Estimators

AbstractReptiles are the most species-rich vertebrate group with a broad diversity of life history traits. Biotelemetry is an essential methodology for reptiles as it compensates for several limitations when studying their natural history. We evaluated trends in reptile spatial ecology studies focusing upon quantifying home ranges for the past twenty years. We assessed 290 English-language reptile home range studies published from 2000-2019 via a structured literature review investigating publications’ study location, taxonomic group, methodology, reporting, and analytical techniques. Substantial biases remain in both location and taxonomic groups in the literature, with nearly half of all studies (45%) originating from the USA. Snakes were most often studied, and crocodiles were least often studied, while testudines tended to have the greatest within study sample sizes. More than half of all studies lacked critical methodological details, limiting the number of studies for inclusion in future meta-analyses (55% of studies lacked information on individual tracking durations, and 51% lacked sufficient information on the number of times researchers recorded positions). Studies continue to rely on outdated methods to quantify space-use (including Minimum Convex Polygons and Kernel Density Estimators), often failing to report subtleties on decisions that have substantial impact on home range area estimates. Moving forward researchers can select a suite of appropriate analytical techniques tailored to their research question (dynamic Brownian Bridge Movement Models for within sample interpolation, and autocorrelated Kernel Density Estimators for beyond sample extrapolation). Only 1.4% of all evaluated studies linked to available and usable telemetry data, further hindering scientific consensus. We ultimately implore herpetologists to adopt transparent reporting practices and make liberal use of open data platforms to maximize progress in the field of reptile spatial ecology.

scholarly journals Lots of movement, little progress: a review of reptile home range literature

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11742
Author(s):  
Matthew Crane ◽  
Inês Silva ◽  
Benjamin M. Marshall ◽  
Colin T. Strine
Keyword(s):  
Home Range ◽  
Spatial Ecology ◽  
Brownian Bridge ◽  
Kernel Density ◽  
Analytical Techniques ◽  
Sufficient Information ◽  
Substantial Impact ◽  
Reporting Practices ◽  
Kernel Density Estimators ◽  
Density Estimators

Reptiles are the most species-rich terrestrial vertebrate group with a broad diversity of life history traits. Biotelemetry is an essential methodology for studying reptiles as it compensates for several limitations when studying their natural history. We evaluated trends in terrestrial reptile spatial ecology studies focusing upon quantifying home ranges for the past twenty years. We assessed 290 English-language reptile home range studies published from 2000–2019 via a structured literature review investigating publications’ study location, taxonomic group, methodology, reporting, and analytical techniques. Substantial biases remain in both location and taxonomic groups in the literature, with nearly half of all studies (45%) originating from the USA. Snakes were most often studied, and crocodiles were least often studied, while testudines tended to have the greatest within study sample sizes. More than half of all studies lacked critical methodological details, limiting the number of studies for inclusion in future meta-analyses (55% of studies lacked information on individual tracking durations, and 51% lacked sufficient information on the number of times researchers recorded positions). Studies continue to rely on outdated methods to quantify space-use (including Minimum Convex Polygons and Kernel Density Estimators), often failing to report subtleties regarding decisions that have substantial impact on home range area estimates. Moving forward researchers can select a suite of appropriate analytical techniques tailored to their research question (dynamic Brownian Bridge Movement Models for within sample interpolation, and autocorrelated Kernel Density Estimators for beyond sample extrapolation). Only 1.4% of all evaluated studies linked to available and usable telemetry data, further hindering scientific consensus. We ultimately implore herpetologists to adopt transparent reporting practices and make liberal use of open data platforms to maximize progress in the field of reptile spatial ecology.

Kernel density estimators applied to fast timing hard X-ray observations of the crab pulsar

1991 ◽  
Vol 11 (8) ◽  
pp. 95-99 ◽  
Author(s):  
I.R. Carstairs ◽  
A. Bazzano ◽  
A.J. Court ◽  
A.J. Dean ◽  
N.A. Dipper ◽  
...  
Keyword(s):  
Kernel Density ◽  
Crab Pulsar ◽  
X Ray ◽  
Kernel Density Estimators ◽  
Fast Timing ◽  
Density Estimators

Kernel density estimators from quantized data

1997 ◽  
Vol 30 (6) ◽  
pp. 3553-3559
Author(s):  
M. Pawlak ◽  
U. Stadtm üller
Keyword(s):  
Kernel Density ◽  
Kernel Density Estimators ◽  
Density Estimators
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