메뉴 건너뛰기




Volumn 69, Issue 1, 2013, Pages 274-281

Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology

Author keywords

Habitat modeling; Location only; Maximum entropy; Poisson likelihood; Presence only data; Use availability

Indexed keywords

MAXIMUM ENTROPY METHODS; POISSON DISTRIBUTION; POPULATION DISTRIBUTION; REGRESSION ANALYSIS;

EID: 84875940984     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2012.01824.x     Document Type: Article
Times cited : (359)

References (35)
  • 1
    • 84867412542 scopus 로고    scopus 로고
    • Comparative interpretation of count, presence-absence and point methods for species distribution models
    • Aarts, G., Fieberg, J., and Matthiopoulos, J. (2012). Comparative interpretation of count, presence-absence and point methods for species distribution models. Methods in Ecology and Evolution 3, 177-187.
    • (2012) Methods in Ecology and Evolution , vol.3 , pp. 177-187
    • Aarts, G.1    Fieberg, J.2    Matthiopoulos, J.3
  • 2
    • 13444262053 scopus 로고    scopus 로고
    • Spatstat: An R package for analyzing spatial point patterns
    • Baddeley, A. and Turner, R. (2005). Spatstat: An R package for analyzing spatial point patterns. Journal of Statistical Software 12, 1-42.
    • (2005) Journal of Statistical Software , vol.12 , pp. 1-42
    • Baddeley, A.1    Turner, R.2
  • 4
    • 0034347971 scopus 로고    scopus 로고
    • Non- and semiparametric estimation of interaction in inhomogeneous point patterns
    • Baddeley, A. J., Møller, J., and Waagepetersen, R. (2000). Non- and semiparametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica 54, 329-350.
    • (2000) Statistica Neerlandica , vol.54 , pp. 329-350
    • Baddeley, A.J.1    Møller, J.2    Waagepetersen, R.3
  • 12
    • 85153162569 scopus 로고    scopus 로고
    • Predicting the geographic distribution of a species from presence-only data subject to detection errors
    • in press
    • Dorazio, R. M. (in press). Predicting the geographic distribution of a species from presence-only data subject to detection errors. Biometrics.
    • Biometrics
    • Dorazio, R.M.1
  • 14
    • 34247359908 scopus 로고    scopus 로고
    • Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines
    • Elith, J. and Leathwick, J. R. (2007). Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines. Diversity and Distributions 13, 265-275.
    • (2007) Diversity and Distributions , vol.13 , pp. 265-275
    • Elith, J.1    Leathwick, J.R.2
  • 15
    • 73949141293 scopus 로고    scopus 로고
    • Species distribution models: Ecological explanation and prediction across space and time
    • Elith, J. and Leathwick, J. R. (2009). Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40, 677-697.
    • (2009) Annual Review of Ecology, Evolution, and Systematics , vol.40 , pp. 677-697
    • Elith, J.1    Leathwick, J.R.2
  • 19
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • Fan, J. and Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association 96, 1348-1360.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 20
    • 14044256525 scopus 로고    scopus 로고
    • Nonlinear GCV and quasi-GCV for shrinkage models
    • Fu, W. J. (2005). Nonlinear GCV and quasi-GCV for shrinkage models. Journal of Statistical Planning and Inference 131, 333-347.
    • (2005) Journal of Statistical Planning and Inference , vol.131 , pp. 333-347
    • Fu, W.J.1
  • 21
    • 0001373576 scopus 로고
    • Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables
    • Good, I. J. (1963). Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables. Annals of Mathematical Statistics 34, 911-934.
    • (1963) Annals of Mathematical Statistics , vol.34 , pp. 911-934
    • Good, I.J.1
  • 23
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • Jaynes, E. T. (1957). Information theory and statistical mechanics. Physics Review 106, 620-630.
    • (1957) Physics Review , vol.106 , pp. 620-630
    • Jaynes, E.T.1
  • 25
    • 78049484065 scopus 로고    scopus 로고
    • Penalized regression, standard errors, and Bayesian lassos
    • Kyung, M., Gill, J., Ghosh, M., and Casella, G. (2010). Penalized regression, standard errors, and Bayesian lassos. Bayesian Analysis 5, 369-411.
    • (2010) Bayesian Analysis , vol.5 , pp. 369-411
    • Kyung, M.1    Gill, J.2    Ghosh, M.3    Casella, G.4
  • 27
    • 85153172060 scopus 로고    scopus 로고
    • NSW Office of Environment and Heritage (). Atlas of NSW Wildlife database. Data accessed 20/04/2010.
    • NSW Office of Environment and Heritage (2010). Atlas of NSW Wildlife database. Data accessed 20/04/2010.
    • (2010)
  • 29
    • 33646242418 scopus 로고    scopus 로고
    • Modelling distribution and abundance with presence-only data
    • Pearce, J. L. and Boyce, M. S. (2006). Modelling distribution and abundance with presence-only data. Journal of Applied Ecology 43, 405-412.
    • (2006) Journal of Applied Ecology , vol.43 , pp. 405-412
    • Pearce, J.L.1    Boyce, M.S.2
  • 30
    • 41449100102 scopus 로고    scopus 로고
    • Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation
    • Phillips, S. J. and Dudík, M. (2008). Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation. Ecography 31, 161-175.
    • (2008) Ecography , vol.31 , pp. 161-175
    • Phillips, S.J.1    Dudík, M.2
  • 31
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips, S. J., Anderson, R. P., and Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231-259.
    • (2006) Ecological Modelling , vol.190 , pp. 231-259
    • Phillips, S.J.1    Anderson, R.P.2    Schapire, R.E.3
  • 34
    • 79952680020 scopus 로고    scopus 로고
    • Poisson point process models solve the "pseudo-absence problem" for presence-only data in ecology
    • Warton, D. I. and Shepherd, L. C. (2010). Poisson point process models solve the "pseudo-absence problem" for presence-only data in ecology. Annals of Applied Statistics 4, 1383-1402.
    • (2010) Annals of Applied Statistics , vol.4 , pp. 1383-1402
    • Warton, D.I.1    Shepherd, L.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.