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Volumn 38, Issue 4, 2011, Pages 617-618

Towards the modelling of true species distributions

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EID: 79952689980     PISSN: 03050270     EISSN: 13652699     Source Type: Journal    
DOI: 10.1111/j.1365-2699.2011.02487.x     Document Type: Note
Times cited : (92)

References (12)
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    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith, J., Graham, C.H., Anderson, R.P. et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29, 129-151.
    • (2006) Ecography , vol.29 , pp. 129-151
    • Elith, J.1    Graham, C.H.2    Anderson, R.P.3
  • 2
    • 79952640118 scopus 로고    scopus 로고
    • Unmarked: an R package for the analysis of wildlife occurrence and abundance data
    • in press
    • Fiske, I.J. & Chandler, R. (in press) Unmarked: an R package for the analysis of wildlife occurrence and abundance data. Journal of Statistical Software.
    • Journal of Statistical Software
    • Fiske, I.J.1    Chandler, R.2
  • 6
    • 77957124624 scopus 로고    scopus 로고
    • Site-occupancy distribution modeling to correct population-trend estimates derived from opportunistic observations
    • Kéry, M., Royle, J.A., Schmid, H., Schaub, M., Volet, B., Häfliger, G. & Zbinden, N. (2010) Site-occupancy distribution modeling to correct population-trend estimates derived from opportunistic observations. Conservation Biology, 24, 1388-1397.
    • (2010) Conservation Biology , vol.24 , pp. 1388-1397
    • Kéry, M.1    Royle, J.A.2    Schmid, H.3    Schaub, M.4    Volet, B.5    Häfliger, G.6    Zbinden, N.7
  • 7
    • 0000989596 scopus 로고    scopus 로고
    • Estimating site occupancy rates when detection probability rates are less than one
    • MacKenzie, D.I., Nichols, J.D., Lachman, G.B., Droege, S., Royle, J.A. & Langtimm, C.A. (2002) Estimating site occupancy rates when detection probability rates are less than one. Ecology, 83, 2248-2255.
    • (2002) Ecology , vol.83 , pp. 2248-2255
    • MacKenzie, D.I.1    Nichols, J.D.2    Lachman, G.B.3    Droege, S.4    Royle, J.A.5    Langtimm, C.A.6
  • 8
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips, S.J., Anderson, R.P. & 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
  • 9
    • 63849333773 scopus 로고    scopus 로고
    • Sample-selection bias and presence-only distribution models: implications for background and pseudo-absence data
    • Phillips, S.J., Dudík, M., Elith, J., Graham, C.H., Lehmann, A., Leathwick, J. & Ferrier, S. (2009) Sample-selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecological Applications, 19, 181-197.
    • (2009) Ecological Applications , vol.19 , pp. 181-197
    • Phillips, S.J.1    Dudík, M.2    Elith, J.3    Graham, C.H.4    Lehmann, A.5    Leathwick, J.6    Ferrier, S.7
  • 12
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    • Poisson point process models solve the "pseudo-absence problem" for presence-only data in ecology
    • Warton, D.I. & 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.