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Volumn 23, Issue 7, 2014, Pages 811-820

Spatial leave-one-out cross-validation for variable selection in the presence of spatial autocorrelation

Author keywords

AIC; Common buzzard Buteo buteo; GLM; Residual spatial autocorrelation; Simulations; Spatial cross validation

Indexed keywords

ACCURACY ASSESSMENT; AUTOCORRELATION; COMPUTER SIMULATION; DATA SET; ECOLOGICAL MODELING; NUMERICAL MODEL; RAPTOR; SOFTWARE; SPATIAL ANALYSIS; SPATIAL DATA;

EID: 84902083123     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/geb.12161     Document Type: Article
Times cited : (107)

References (55)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • by B.N. Petrov and F. Csaki, Akademiai Kiado, Budapest.
    • Akaike, H. (1973) Information theory and an extension of the maximum likelihood principle. Second International Symposium on Information Theory (ed. by B.N. Petrov and F. Csaki ), pp. 267-281. Akademiai Kiado, Budapest.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 0016029778 scopus 로고
    • The relationship between variable selection and data augmentation and a method for prediction
    • Allen, D.M. (1974) The relationship between variable selection and data augmentation and a method for prediction. Technometrics, 16, 125-127.
    • (1974) Technometrics , vol.16 , pp. 125-127
    • Allen, D.M.1
  • 4
    • 77956649096 scopus 로고    scopus 로고
    • A survey of cross-validation procedures for model selection
    • Arlot, S. & Celisse, A. (2010) A survey of cross-validation procedures for model selection. Statistics Surveys, 4, 40-79.
    • (2010) Statistics Surveys , vol.4 , pp. 40-79
    • Arlot, S.1    Celisse, A.2
  • 5
    • 84874319269 scopus 로고    scopus 로고
    • Testing the predictive performance of predictive models
    • Bahn, V. & McGill, B.J. (2013) Testing the predictive performance of predictive models. Oikos, 122, 321-331.
    • (2013) Oikos , vol.122 , pp. 321-331
    • Bahn, V.1    McGill, B.J.2
  • 6
    • 33846430564 scopus 로고    scopus 로고
    • Importance of spatial autocorrelation in modeling bird distributions at a continental scale
    • Bahn, V., O'Connor, R.J. & Krohn, W.B. (2006) Importance of spatial autocorrelation in modeling bird distributions at a continental scale. Ecography, 29, 835-844.
    • (2006) Ecography , vol.29 , pp. 835-844
    • Bahn, V.1    O'Connor, R.J.2    Krohn, W.B.3
  • 8
    • 67649921143 scopus 로고    scopus 로고
    • Comment on 'Methods to account for spatial autocorrelation in the analysis of species distributional data: a review'
    • Betts, M.G., Ganio, L.M., Huso, M.P., Som, N.A., Huettmann, F., Bowman, J. & Wintle, B.A. (2009) Comment on 'Methods to account for spatial autocorrelation in the analysis of species distributional data: a review'. Ecography, 32, 374-378.
    • (2009) Ecography , vol.32 , pp. 374-378
    • Betts, M.G.1    Ganio, L.M.2    Huso, M.P.3    Som, N.A.4    Huettmann, F.5    Bowman, J.6    Wintle, B.A.7
  • 9
    • 62249098547 scopus 로고    scopus 로고
    • Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression
    • Bini, L.M., Diniz-Filho, J.A.F., Rangel, T.F.L.V.B. etal. (2009) Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression. Ecography, 32, 193-204.
    • (2009) Ecography , vol.32 , pp. 193-204
    • Bini, L.M.1    Diniz-Filho, J.A.F.2    Rangel, T.F.L.V.B.3
  • 10
    • 30844446670 scopus 로고    scopus 로고
    • Spatial prediction models for landslide hazards: review, comparison and evaluation
    • Brenning, A. (2005) Spatial prediction models for landslide hazards: review, comparison and evaluation. Natural Hazards and Earth System Sciences, 5, 853-862.
    • (2005) Natural Hazards and Earth System Sciences , vol.5 , pp. 853-862
    • Brenning, A.1
  • 11
    • 0039012351 scopus 로고
    • A cross-validatory method for dependent data
    • Burman, P., Chow, E. & Nolan, D. (1994) A cross-validatory method for dependent data. Biometrika, 81, 351-358.
    • (1994) Biometrika , vol.81 , pp. 351-358
    • Burman, P.1    Chow, E.2    Nolan, D.3
  • 13
    • 77954579426 scopus 로고    scopus 로고
    • Spatial autocorrelation, model selection and hypothesis testing in geographical ecology: implications for testing metabolic theory in New World amphibians
    • Cassemiro, F.A.S., Diniz-Filho, J.A.F., Rangel, T.F.L.V.B. & Bini, L.M. (2007) Spatial autocorrelation, model selection and hypothesis testing in geographical ecology: implications for testing metabolic theory in New World amphibians. Neotropical Biology and Conservation, 2, 119-126.
    • (2007) Neotropical Biology and Conservation , vol.2 , pp. 119-126
    • Cassemiro, F.A.S.1    Diniz-Filho, J.A.F.2    Rangel, T.F.L.V.B.3    Bini, L.M.4
  • 14
    • 0000615064 scopus 로고
    • Comparison of two bandwidth selectors with dependent errors
    • Chu, C.-K. & Marron, J.S. (1991) Comparison of two bandwidth selectors with dependent errors. Annals of Statistics, 19, 1906-1918.
    • (1991) Annals of Statistics , vol.19 , pp. 1906-1918
    • Chu, C.-K.1    Marron, J.S.2
  • 15
    • 0742288013 scopus 로고    scopus 로고
    • Validation of spatial prediction models for landslide hazard mapping
    • Chung, C.J.F. & Fabbri, A.G. (2003) Validation of spatial prediction models for landslide hazard mapping. Natural Hazards, 30, 451-472.
    • (2003) Natural Hazards , vol.30 , pp. 451-472
    • Chung, C.J.F.1    Fabbri, A.G.2
  • 19
    • 33847215823 scopus 로고    scopus 로고
    • Effects of incorporating spatial autocorrelation into the analysis of species distribution data
    • Dormann, C.F. (2007) Effects of incorporating spatial autocorrelation into the analysis of species distribution data. Global Ecology and Biogeography, 16, 129-138.
    • (2007) Global Ecology and Biogeography , vol.16 , pp. 129-138
    • Dormann, C.F.1
  • 25
    • 33845354872 scopus 로고    scopus 로고
    • Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses
    • Griffith, D.A. & Peres-Neto, P.R. (2006) Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses. Ecology, 87, 2603-2613.
    • (2006) Ecology , vol.87 , pp. 2603-2613
    • Griffith, D.A.1    Peres-Neto, P.R.2
  • 26
    • 84860258937 scopus 로고    scopus 로고
    • Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model
    • Hijmans, R.J. (2012) Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model. Ecology, 93, 679-688.
    • (2012) Ecology , vol.93 , pp. 679-688
    • Hijmans, R.J.1
  • 28
    • 79960981893 scopus 로고    scopus 로고
    • Adding spatially-correlated errors can mess up the fixed effect you love
    • Hodges, J.S. & Reich, B.J. (2010) Adding spatially-correlated errors can mess up the fixed effect you love. American Statistician, 64, 325-334.
    • (2010) American Statistician , vol.64 , pp. 325-334
    • Hodges, J.S.1    Reich, B.J.2
  • 32
    • 0036779345 scopus 로고    scopus 로고
    • Accounting for spatial pattern when modeling organism-environment interactions
    • Keitt, T.H., Bjørnstad, O.N., Dixon, P.M. & Citron-Pousty, S. (2002) Accounting for spatial pattern when modeling organism-environment interactions. Ecography, 25, 616-625.
    • (2002) Ecography , vol.25 , pp. 616-625
    • Keitt, T.H.1    Bjørnstad, O.N.2    Dixon, P.M.3    Citron-Pousty, S.4
  • 33
    • 34247520538 scopus 로고    scopus 로고
    • Factor analysis model evaluation through likelihood cross-validation
    • Knafl, G.J. & Grey, M. (2007) Factor analysis model evaluation through likelihood cross-validation. Statistical Methods for Medical Research, 16, 77-102.
    • (2007) Statistical Methods for Medical Research , vol.16 , pp. 77-102
    • Knafl, G.J.1    Grey, M.2
  • 34
    • 0033016226 scopus 로고    scopus 로고
    • Spatial autocorrelation of ecological phenomena
    • Koenig, W.D. (1999) Spatial autocorrelation of ecological phenomena. Trends in Ecology and Evolution, 14, 22-26.
    • (1999) Trends in Ecology and Evolution , vol.14 , pp. 22-26
    • Koenig, W.D.1
  • 35
    • 70350397839 scopus 로고    scopus 로고
    • Combining spatial and phylogenetic eigenvector filtering in trait analysis
    • Kühn, I., Nobis, M.P. & Durka, W. (2009) Combining spatial and phylogenetic eigenvector filtering in trait analysis. Global Ecology and Biogeography, 18, 745-758.
    • (2009) Global Ecology and Biogeography , vol.18 , pp. 745-758
    • Kühn, I.1    Nobis, M.P.2    Durka, W.3
  • 36
    • 84875274996 scopus 로고    scopus 로고
    • Accounting for spatial autocorrelation from model selection to statistical inference: application to a national survey of a diurnal raptor
    • Le Rest, K., Pinaud, D. & Bretagnolle, V. (2013) Accounting for spatial autocorrelation from model selection to statistical inference: application to a national survey of a diurnal raptor. Ecological Informatics, 14, 17-24.
    • (2013) Ecological Informatics , vol.14 , pp. 17-24
    • Le Rest, K.1    Pinaud, D.2    Bretagnolle, V.3
  • 37
    • 0027881344 scopus 로고
    • Spatial autocorrelation: trouble or new paradigm
    • Legendre, P. (1993) Spatial autocorrelation: trouble or new paradigm. Ecology, 74, 1659-1673.
    • (1993) Ecology , vol.74 , pp. 1659-1673
    • Legendre, P.1
  • 38
    • 0024937968 scopus 로고
    • Spatial pattern and ecological analysis
    • Legendre, P. & Fortin, M.-J. (1989) Spatial pattern and ecological analysis. Vegetatio, 80, 107-138.
    • (1989) Vegetatio , vol.80 , pp. 107-138
    • Legendre, P.1    Fortin, M.-J.2
  • 39
    • 0034028569 scopus 로고    scopus 로고
    • Red-shifts and red herrings in geographical ecology
    • Lennon, J.J. (2000) Red-shifts and red herrings in geographical ecology. Ecography, 23, 101-113.
    • (2000) Ecography , vol.23 , pp. 101-113
    • Lennon, J.J.1
  • 41
    • 0001992501 scopus 로고    scopus 로고
    • Testing for correlation in the presence of spatial autocorrelation in insect count data
    • ed. by J. Baumgartner, P. Brandmayr and B.F.J. Manly ) Balkema, Rotterdam.
    • Liebhold, A.M. & Sharov, A.A. (1998) Testing for correlation in the presence of spatial autocorrelation in insect count data. Population and community ecology for insect management and conservation (ed. by J. Baumgartner, P. Brandmayr and B.F.J. Manly ), pp. 11-117. Balkema, Rotterdam.
    • (1998) Population and community ecology for insect management and conservation , pp. 11-117
    • Liebhold, A.M.1    Sharov, A.A.2
  • 43
    • 77957761445 scopus 로고    scopus 로고
    • The importance of scale for spatial confounding bias and precision of spatial regression estimators
    • Paciorek, C.J. (2010) The importance of scale for spatial confounding bias and precision of spatial regression estimators. Statistical Science, 25, 107-125.
    • (2010) Statistical Science , vol.25 , pp. 107-125
    • Paciorek, C.J.1
  • 45
    • 84863304598 scopus 로고    scopus 로고
    • R Core Team R Foundation for Statistical Computing, Vienna, Austria. Available at (accessed 25 September 2013)
    • R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org/ (accessed 25 September 2013).
    • (2013) R: a language and environment for statistical computing
  • 46
    • 33845478186 scopus 로고    scopus 로고
    • Effect of residual smoothing on the posterior of the fixed effects in disease-mapping models
    • Reich, B.J., Hodges, J.S. & Zadnik, V. (2006) Effect of residual smoothing on the posterior of the fixed effects in disease-mapping models. Biometrics, 62, 1197-1206.
    • (2006) Biometrics , vol.62 , pp. 1197-1206
    • Reich, B.J.1    Hodges, J.S.2    Zadnik, V.3
  • 47
    • 0026540034 scopus 로고
    • Geostatistical tools for modeling and interpreting ecological spatial dependence
    • Rossi, R.E., Mulla, D.J., Journel, A.G. & Franz, E.H. (1992) Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecological Monographs, 62, 277-314.
    • (1992) Ecological Monographs , vol.62 , pp. 277-314
    • Rossi, R.E.1    Mulla, D.J.2    Journel, A.G.3    Franz, E.H.4
  • 48
    • 77954873474 scopus 로고    scopus 로고
    • Data mining in precision agriculture: management of spatial information
    • ed. by E. Hüllermeier, R. Kruse and F. Hoffmann ) Springer-Verlag, Berlin.
    • Russ, G. & Brenning, A. (2010) Data mining in precision agriculture: management of spatial information. Computational intelligence for knowledge-based systems design (ed. by E. Hüllermeier, R. Kruse and F. Hoffmann ), pp. 350-359. Springer-Verlag, Berlin.
    • (2010) Computational intelligence for knowledge-based systems design , pp. 350-359
    • Russ, G.1    Brenning, A.2
  • 49
    • 84899963952 scopus 로고    scopus 로고
    • Comparison of regression methods for spatially-autocorrelated count data on regularly- and irregularly-spaced locations
    • doi: 10.1111/j.1600-0587.2013.00279.x.
    • Saas, Y. & Gosselin, F. (2014) Comparison of regression methods for spatially-autocorrelated count data on regularly- and irregularly-spaced locations. Ecography, doi: 10.1111/j.1600-0587.2013.00279.x.
    • (2014) Ecography
    • Saas, Y.1    Gosselin, F.2
  • 50
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. (1978) Estimating the dimension of a model. Annals of Statistics, 6, 461-464.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 51
    • 0642336882 scopus 로고    scopus 로고
    • An asymptotic theory for linear model selection
    • Shao, J. (1997) An asymptotic theory for linear model selection. Statistica Sinica, 7, 221-264.
    • (1997) Statistica Sinica , vol.7 , pp. 221-264
    • Shao, J.1
  • 53
    • 0000859675 scopus 로고
    • An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion
    • Stone, M. (1977) An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion. Journal of the Royal Statistical Society: Series B (Methodological), 39, 44-47.
    • (1977) Journal of the Royal Statistical Society: Series B (Methodological) , vol.39 , pp. 44-47
    • Stone, M.1


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