Modeling resource selection using polytomous logistic regression and kernel density estimates

Environmental and Ecological Statistics

Volumn 15, Issue 1, 2008, Pages 39-47

  Rittenhouse, Chadwick D ^a   Millspaugh, Joshua J ^a   Cooper, Andrew B ^b   Hubbard, Michael W ^c   Sheriff, Steven L ^c   Gitzen, Robert A ^d  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF NEW HAMPSHIRE   (United States)

^c MISSOURI DEPARTMENT OF CONSERVATION   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Fixed kernel; Habitatuse; Polytomous logistic regression

Indexed keywords

DEER; DENSITY; ESTIMATION METHOD; HOME RANGE; MODELING; REGRESSION ANALYSIS; RESOURCE SELECTION; SPATIAL ANALYSIS; WILDLIFE MANAGEMENT;

NORTH AMERICA; SOUTH DAKOTA; UNITED STATES;

ANIMALIA; CERVUS ELAPHUS;

EID: 39049127761     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10651-007-0031-2     Document Type: Conference Paper

References (22)

1. Beardah CC, Baxter MJ (1995) MATLAB routines for kernel density estimation and the graphical representation of archaeological data. Anelecta Prehistorica Leidensia 28. Leiden University, Rapenburg, The Netherlands
2. Burnham KP and Anderson DR (2002). Model selection and inference: A practical information theoretic approach. Springer-Verlag, New York
3. Cooper AB and Millspaugh JJ (1999). The application of discrete choice models to wildlife resource selection studies. Ecology 80: 566-575
4. Cross CL and Petersen CE (2002). Modeling snake microhabitat from radiotelemetry studies using polytomous logistic regression. J Herptel 35: 590-597
5. Erickson WP, McDonald TL, Gerow KG, Howlin S and Kern JW (2001). Statistical issues in resource selection studies with radio-marked animals. In: Millspaugh, JJ and Marzluff, JM (eds) Radio tracking and animal populations, pp 209-242. Academic Press, Inc., San Diego
6. Garton EO, Wisdom MJ, Leban FA and Johnson BK (2001). Experimental design for radiotelemetry studies. In: Millspaugh, JJ and Marzluff, JM (eds) Radio tracking and animal populations, pp 15-42. Academic Press, Inc, San Diego
7. Gitzen RA and Millspaugh JJ (2003). Evaluation of least squares cross validation bandwidth selection options for kernel estimation. Wildlife Soc Bull 31: 823-831
8. Hosmer DW and Lemeshow S (2000). Applied logistic regression. John Wiley and Sons, New York
9. Keating KA and Cherry S (2004). Use and interpretation of logistic regression in habitat-selection studies. J Wildlife Manage 68: 774-789
10. Kernohan BJ, Gitzen RA and Millspaugh JJ (2001). Analysis of animal space use and movements. In: Millspaugh, JJ and Marzluff, JM (eds) Radio tracking and animal populations, pp 104-106. Academic Press, Inc., San Diago
11. Loader CR (1999). Local regression and likelihood. Springer-Verlag, New York
12. Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson WP (2002) Resource selection by animals: Statistical design and analysis for field studies, 2nd edn. Kluwer Academic Publishers, Dordrecht, The Netherlands
13. Marzluff JM, Knick S and Millspaugh JJ (2001). High-tech behavioral ecology. In: Millspaugh, JJ and Marzluff, JM (eds) Radio tracking and animal populations., pp 309-326. Academic Press Inc., San Diego
14. Marzluff JM, Millspaugh JJ, Hurvitz P and Handcock MS (2004). Resource utilization by an avian nest predator: Relating resources to a probabilistic measure of animal space use. Ecology 85: 1411-1427
15. Nams VO (1989). Effects of radiotelemetry error on sample size and bias when testing for habitat selection. Can J Zool 67: 1631-1636
16. North MP and Reynolds JH (1996). Microhabitat analysis using radiotelemetry locations and polytomous logistic regression. J Wildlife Manage 60: 639-653
17. Seaman DE, Millspaugh JJ, Kernohan BJ, Brundige GC, Raedeke KJ and Gitzen RA (1999). Effects of sample size on kernel home range estimates. J Wildlife Manage 63: 739-747
18. Silverman BW (1986). Density estimation for statistics and data analysis. Chapman and Hall, London
19. Terrell GR and Scott DW (1992). Variable kernel density estimation. Annal Stat 20: 1236-1265
20. Venables WN and Ripley BD (2002). Modern applied statistics with S. Springer-Verlag, New York
21. Wand MP and Jones MC (1995). Kernel smoothing. Chapman and Hall, London
22. White GC and Garrott RA (1986). Effects of biotelemetry triangulation error on detecting habitat selection. J Wildlife Manage 50: 509-513