PMID- 17536721
OWN - NLM
STAT- MEDLINE
DCOM- 20070703
LR  - 20190902
IS  - 0012-9658 (Print)
IS  - 0012-9658 (Linking)
VI  - 88
IP  - 4
DP  - 2007 Apr
TI  - Kernel density estimators of home range: smoothing and the autocorrelation red 
      herring.
PG  - 1059-66
AB  - Two oft-cited drawbacks of kernel density estimators (KDEs) of home range are 
      their sensitivity to the choice of smoothing parameter(s) and their need for 
      independent data. Several simulation studies have been conducted to compare the 
      performance of objective, data-based methods of choosing optimal smoothing 
      parameters in the context of home range and utilization distribution (UD) 
      estimation. Lost in this discussion of choice of smoothing parameters is the 
      general role of smoothing in data analysis, namely, that smoothing serves to 
      increase precision at the cost of increased bias. A primary goal of this paper is 
      to illustrate this bias-variance trade-off by applying KDEs to sampled locations 
      from simulated movement paths. These simulations will also be used to explore the 
      role of autocorrelation in estimating UDs. Autocorrelation can be reduced (1) by 
      increasing study duration (for a fixed sample size) or (2) by decreasing the 
      sampling rate. While the first option will often be reasonable, for a fixed study 
      duration higher sampling rates should always result in improved estimates of 
      space use. Further, KDEs with typical data-based methods of choosing smoothing 
      parameters should provide competitive estimates of space use for fixed study 
      periods unless autocorrelation substantially alters the optimal level of 
      smoothing.
FAU - Fieberg, John
AU  - Fieberg J
AD  - Minnesota Department of Natural Resources, Biometrics Unit, 5463-C W. Broadway, 
      Forest Lake 55025, USA. John.Fieberg@dnr.state.mn.us
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Ecology
JT  - Ecology
JID - 0043541
SB  - IM
MH  - Animals
MH  - Bias
MH  - Computer Simulation
MH  - *Data Interpretation, Statistical
MH  - *Ecosystem
MH  - Fishes/*physiology
MH  - Homing Behavior/*physiology
MH  - *Models, Statistical
MH  - Movement
MH  - Sensitivity and Specificity
EDAT- 2007/06/01 09:00
MHDA- 2007/07/04 09:00
CRDT- 2007/06/01 09:00
PHST- 2007/06/01 09:00 [pubmed]
PHST- 2007/07/04 09:00 [medline]
PHST- 2007/06/01 09:00 [entrez]
AID - 10.1890/06-0930 [doi]
PST - ppublish
SO  - Ecology. 2007 Apr;88(4):1059-66. doi: 10.1890/06-0930.