메뉴 건너뛰기




Volumn 20, Issue 8, 2010, Pages 2131-2147

Spatiotemporal exploratory models for broad-scale survey data

Author keywords

Citizen science; Ensemble model; Exploratory analysis; Multiscale; Sample bias; Semiparametric; Spatiotemporal; Survey data

Indexed keywords

ABUNDANCE; ANTHROPOGENIC EFFECT; BIOTIC FACTOR; FIELD SURVEY; GEOGRAPHICAL DISTRIBUTION; MIGRATORY SPECIES; POPULATION DISTRIBUTION; POPULATION DYNAMICS; POPULATION MODELING; SAMPLING BIAS; SONGBIRD; SPATIAL VARIATION; SPECIES OCCURRENCE; TEMPORAL VARIATION;

EID: 78149373096     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/09-1340.1     Document Type: Article
Times cited : (210)

References (68)
  • 1
    • 0029507498 scopus 로고
    • Local indicator ofspatial association: LISA
    • Anselin, L. 1995. Local indicator ofspatial association: LISA. Geographical Analysis 27:93-115.
    • (1995) Geographical Analysis , vol.27 , pp. 93-115
    • Anselin, L.1
  • 3
    • 33646238253 scopus 로고    scopus 로고
    • Linking the concept of scale to studies of biological diversity: Evolving approaches and tools
    • Beever, E. A., R. K. Swihart, and B. T. Bestelmeyer. 2006. Linking the concept of scale to studies of biological diversity: evolving approaches and tools. Diversity and Distributions 12:229-235.
    • (2006) Diversity and Distributions , vol.12 , pp. 229-235
    • Beever, E.A.1    Swihart, R.K.2    Bestelmeyer, B.T.3
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. 1996. Bagging predictors. Machine Learning 24: 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. 2001. Random forests. Machine Learning 45:5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 7
    • 2342623254 scopus 로고    scopus 로고
    • The range margins ofnorthern birds shift poleward
    • Brommer, J. E. 2004. The range margins ofnorthern birds shift poleward. Annales Zoologici Fennici 41:391-397.
    • (2004) Annales Zoologici Fennici , vol.41 , pp. 391-397
    • Brommer, J.E.1
  • 8
    • 0028980833 scopus 로고
    • Spatial variation in abundance
    • Brown, J. H., D. W. Mehlman, and G. C. Stevens. 1995. Spatial variation in abundance. Ecology 76:2028-2043.
    • (1995) Ecology , vol.76 , pp. 2028-2043
    • Brown, J.H.1    Mehlman, D.W.2    Stevens, G.C.3
  • 9
    • 33749254096 scopus 로고    scopus 로고
    • An empirical comparison ofsupervisedlearningalgorithms
    • W. W. Cohen and A. Moore, editors ACM Press, New York, New York, USA
    • Caruana, R., and A. Niculescu-Mizil. 2006. An empirical comparison ofsupervisedlearningalgorithms. Pages 161-168 in W. W. Cohen and A. Moore, editors. Proceedings of the 23rd International Conference on Machine Learning. ACM Press, New York, New York, USA.
    • (2006) Proceedings of the 23rd International Conference on Machine Learning , pp. 161-168
    • Caruana, R.1    Niculescu-Mizil, A.2
  • 10
    • 34247115449 scopus 로고    scopus 로고
    • Boosted trees for ecological modeling and prediction
    • De'ath, G. 2007. Boosted trees for ecological modeling and prediction. Ecology 88:243-251.
    • (2007) Ecology , vol.88 , pp. 243-251
    • De'Ath, G.1
  • 11
    • 0033749212 scopus 로고    scopus 로고
    • Classification and regression trees: A powerful yet simple technique for ecological data analysis
    • De'ath, G., and K. E. Fabricius. 2000. Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81:3178-3192.
    • (2000) Ecology , vol.81 , pp. 3178-3192
    • De'Ath, G.1    Fabricius, K.E.2
  • 12
    • 20144387296 scopus 로고    scopus 로고
    • Dynamics of a novel pathogen in an avian host: Mycoplasmal conjunctivitis in House Finches
    • Dhondt, A. A., et al. 2005. Dynamics of a novel pathogen in an avian host: mycoplasmal conjunctivitis in House Finches. Acta Tropica 94:77-93.
    • (2005) Acta Tropica , vol.94 , pp. 77-93
    • Dhondt, A.A.1
  • 13
    • 33846834016 scopus 로고    scopus 로고
    • Incorporating availability for detection in estimates ofbird abundance
    • Diefenbach, D. R., M. R. Marshall, J. A. Mattice, and D. W. Brauning. 2007. Incorporating availability for detection in estimates ofbird abundance. Auk 124:96-106.
    • (2007) Auk , vol.124 , pp. 96-106
    • Diefenbach, D.R.1    Marshall, M.R.2    Mattice, J.A.3    Brauning, D.W.4
  • 15
    • 63849287596 scopus 로고    scopus 로고
    • Do they? How do they? WHY do they differ? on finding reasons for differing performances of species distribution models
    • Elith, J., and C. H. Graham. 2009. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. Ecography 32: 66-77.
    • (2009) Ecography , vol.32 , pp. 66-77
    • Elith, J.1    Graham, C.H.2
  • 16
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith, J., 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
  • 18
    • 0030953391 scopus 로고    scopus 로고
    • A review ofmethods for the assessment of prediction errors in conservation presence-absence models
    • Fielding, A. H., and J. F. Bell. 1997. A review ofmethods for the assessment of prediction errors in conservation presence-absence models. Environmental Conservation 24:38-49.
    • (1997) Environmental Conservation , vol.24 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 19
    • 68349144726 scopus 로고    scopus 로고
    • Gaussian semiparametric analysis using hierarchical predictive models
    • Fink, D., and W. M. Hochachka. 2009. Gaussian semiparametric analysis using hierarchical predictive models. Environmental and Ecological Statistics 3:1011-1035.
    • (2009) Environmental and Ecological Statistics , vol.3 , pp. 1011-1035
    • Fink, D.1    Hochachka, W.M.2
  • 23
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J. H. 2001. Greedy function approximation: a gradient boosting machine. Annals of Statistics 29:1189-1232.
    • (2001) Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 26
    • 0031748982 scopus 로고    scopus 로고
    • Allee effects limitpopulationviability of an annual plant
    • Groom, M. J. 1998. Allee effects limitpopulationviability of an annual plant. American Naturalist 151:487-496.
    • (1998) American Naturalist , vol.151 , pp. 487-496
    • Groom, M.J.1
  • 28
    • 0003133470 scopus 로고    scopus 로고
    • Northern Cardinal (Cardinalis cardinalis)
    • A. Poole, editor Cornell Lab of Ornithology, Ithaca, New York, USA
    • Halkin, S. L., and S. U. Linville. 1999. Northern Cardinal (Cardinalis cardinalis). In A. Poole, editor. The birds of North America online. Cornell Lab of Ornithology, Ithaca, New York, USA. {http://bna.birds.cornell.edu/bna/ species/440)
    • (1999) The Birds of North America Online
    • Halkin, S.L.1    Linville, S.U.2
  • 34
    • 34548032135 scopus 로고    scopus 로고
    • Shifts in the spatiotemporal growth dynamics of shortleaf pine
    • Hooten, M. B., and C. K. Wikle. 2007. Shifts in the spatiotemporal growth dynamics of shortleaf pine. Environmental and Ecological Statistics 14(3):207-227.
    • (2007) Environmental and Ecological Statistics , vol.14 , Issue.3 , pp. 207-227
    • Hooten, M.B.1    Wikle, C.K.2
  • 35
    • 0000383912 scopus 로고
    • Pseudoreplication and the design of ecological field experiments
    • Hurlbert, S. H. 1984. Pseudoreplication and the design of ecological field experiments. Ecological Monographs 54:187-211.
    • (1984) Ecological Monographs , vol.54 , pp. 187-211
    • Hurlbert, S.H.1
  • 36
    • 0035117132 scopus 로고    scopus 로고
    • Allee effects, invasion inning, and species' borders
    • Keitt, T. H., M. A. Lewis, and R. D. Holt. 2001. Allee effects, invasion inning, and species' borders. American Naturalist 157:203-216.
    • (2001) American Naturalist , vol.157 , pp. 203-216
    • Keitt, T.H.1    Lewis, M.A.2    Holt, R.D.3
  • 39
    • 0027101175 scopus 로고
    • The problem ofpattern and scale in ecology
    • Levin, S. A. 1992. The problem ofpattern and scale in ecology. Ecology 73:1943-1967.
    • (1992) Ecology , vol.73 , pp. 1943-1967
    • Levin, S.A.1
  • 41
    • 0036126752 scopus 로고    scopus 로고
    • Food web structure and climate effects on the dynamics of small mammals and owls in semi-arid Chile
    • Lima, M., N. C. Stenseth, and F. M. Jaksic. 2002. Food web structure and climate effects on the dynamics of small mammals and owls in semi-arid Chile. Ecology Letters 5:273-284.
    • (2002) Ecology Letters , vol.5 , pp. 273-284
    • Lima, M.1    Stenseth, N.C.2    Jaksic, F.M.3
  • 42
    • 34247173303 scopus 로고    scopus 로고
    • Seasonal components of avian population change: Joint analysis of two large-scale monitoring programs
    • Link, W. A., and J. R. Sauer. 2007. Seasonal components of avian population change: joint analysis of two large-scale monitoring programs. Ecology 88:49-55.
    • (2007) Ecology , vol.88 , pp. 49-55
    • Link, W.A.1    Sauer, J.R.2
  • 44
    • 33745719239 scopus 로고    scopus 로고
    • Improving generalized regression analysis for the spatial prediction of forest communities
    • Maggini, R., A. Lehmann, N. E. Zimmermann, and A. Guisan. 2006. Improving generalized regression analysis for the spatial prediction of forest communities. Journal of Biogeography 33:1729-1749.
    • (2006) Journal of Biogeography , vol.33 , pp. 1729-1749
    • Maggini, R.1    Lehmann, A.2    Zimmermann, N.E.3    Guisan, A.4
  • 45
    • 0042081627 scopus 로고    scopus 로고
    • Community patterns in source-sink metacommunities
    • Mouquet, N., and M. Loreau. 2003. Community patterns in source-sink metacommunities. American Naturalist 162: 544-557.
    • (2003) American Naturalist , vol.162 , pp. 544-557
    • Mouquet, N.1    Loreau, M.2
  • 46
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips, S. J., R. P. Anderson, and R. E. Schapire. 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
  • 47
    • 33645330972 scopus 로고    scopus 로고
    • Newer classification and regression tree techniques: Bagging and random forests for ecological prediction
    • Prasad, A. M., L. R. Iverson, and A. Liaw. 2006. Newer classification and regression tree techniques: bagging and random forests for ecological prediction. Ecosystems 9:181-199.
    • (2006) Ecosystems , vol.9 , pp. 181-199
    • Prasad, A.M.1    Iverson, L.R.2    Liaw, A.3
  • 48
    • 0003500248 scopus 로고
    • Morgan Kaufmann Publishers, San Mateo, California, USA. R Development Core Team
    • Quinlan, J. R. 1993. C4.5: programs for machine learning. Morgan Kaufmann Publishers, San Mateo, California, USA. R Development Core Team. 2008.
    • (1993) C4.5: Programs for Machine Learning. , pp. 2008
    • Quinlan, J.R.1
  • 49
    • 78649871282 scopus 로고    scopus 로고
    • R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
    • R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. {http://www.R-project.org)
  • 50
    • 0242573339 scopus 로고    scopus 로고
    • Geographic sampling bias and its implications for conservation priorities in Africa
    • Reddy, S., and L. M. Davalos. 2003. Geographic sampling bias and its implications for conservation priorities in Africa. Journal ofBiogeography 30:1719-1727.
    • (2003) Journal OfBiogeography , vol.30 , pp. 1719-1727
    • Reddy, S.1    Davalos, L.M.2
  • 52
    • 0002587714 scopus 로고
    • Tree Swallow (Tachycineta bicolor)
    • In A. Poole, editor Cornell Lab of Ornithology, Ithaca, New York, USA
    • Robertson, R. J., B. J. Stutchbury, and R. R. Cohen. 1992. Tree Swallow (Tachycineta bicolor). In A. Poole, editor. The birds of North America online. Cornell Lab of Ornithology, Ithaca, New York, USA. {http://bna.birds.cornell. edu/bna/species/011)
    • (1992) The Birds of North America Online.
    • Robertson, R.J.1    Stutchbury, B.J.2    Cohen, R.R.3
  • 53
    • 40349108569 scopus 로고    scopus 로고
    • Hierarchical spatial models of abundance and occurrence from imperfect survey data
    • Royle, J. A., M. Kery, R. Gautier, and H. Schmid. 2007. Hierarchical spatial models of abundance and occurrence from imperfect survey data. Ecological Monographs 77:465-481.
    • (2007) Ecological Monographs , vol.77 , pp. 465-481
    • Royle, J.A.1    Kery, M.2    Gautier, R.3    Schmid, H.4
  • 54
    • 78649833502 scopus 로고    scopus 로고
    • Spatial modeling of wetland condition in the U.S. Prairie Pothole region
    • Royle, J. A., M. Koneff, and R. Reynolds. 2002. Spatial modeling of wetland condition in the U.S. Prairie Pothole region. Biometrics 8(2):104-113.
    • (2002) Biometrics , vol.8 , Issue.2 , pp. 104-113
    • Royle, J.A.1    Koneff, M.2    Reynolds, R.3
  • 55
    • 42349084229 scopus 로고    scopus 로고
    • Interaction between macroinvertebrate abundance and habitat use by diving ducks during winter on northeastern Lake Ontario
    • Schummer, M. L., S. A. Petrie, and R. C. Bailey. 2008. Interaction between macroinvertebrate abundance and habitat use by diving ducks during winter on northeastern Lake Ontario. Journal of Great Lakes Research 34:54-71.
    • (2008) Journal of Great Lakes Research , vol.34 , pp. 54-71
    • Schummer, M.L.1    Petrie, S.A.2    Bailey, R.C.3
  • 57
    • 0001762558 scopus 로고
    • Distribution and dispersal of pikas: Consequences of insular population structure
    • Smith, A. T. 1974. Distribution and dispersal of pikas: consequences of insular population structure. Ecology 55: 1112-1119.
    • (1974) Ecology , vol.55 , pp. 1112-1119
    • Smith, A.T.1
  • 58
    • 56449111928 scopus 로고    scopus 로고
    • Detecting statistical interactions with additive groves oftrees
    • W. W. Cohen, A. McCallum, and S. T. Roweis, editors (ICML 2008), Helsinki, Finland, June 5-9, 2008
    • Sorokina, D., R. Caruana, M. Riedewald, and D. Fink. 2008. Detecting statistical interactions with additive groves oftrees. Pages 1000-1007 in W. W. Cohen, A. McCallum, and S. T. Roweis, editors. Machine learning. Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008.
    • (2008) Machine Learning. Proceedings of the Twenty-Fifth International Conference , pp. 1000-1007
    • Sorokina, D.1    Caruana, R.2    Riedewald, M.3    Fink., D.4
  • 60
    • 74549217801 scopus 로고    scopus 로고
    • Alien species in fresh waters: Ecological effects, interactions with other stressors, and prospects for the future
    • Strayer, D. L. 2009. Alien species in fresh waters: ecological effects, interactions with other stressors, and prospects for the future. Freshwater Biology 55:152-174.
    • (2009) Freshwater Biology , vol.55 , pp. 152-174
    • Strayer, D.L.1
  • 63
    • 38649117523 scopus 로고    scopus 로고
    • Modeling and mapping abundance of American Woodcock across the midwestern and northeastern United States
    • Thogmartin, W. E., J. R. Sauer, and M. G. Knutson. 2007. Modeling and mapping abundance of American Woodcock across the midwestern and northeastern United States. Journal of Wildlife Management 71(2):376-382.
    • (2007) Journal of Wildlife Management , vol.71 , Issue.2 , pp. 376-382
    • Thogmartin, W.E.1    Sauer, J.R.2    Knutson, M.G.3
  • 64
    • 0033587045 scopus 로고    scopus 로고
    • Birds extend their ranges northwards
    • Thomas, C. D., and J. J. Lennon. 1999. Birds extend their ranges northwards. Nature 399:213.
    • (1999) Nature , vol.399 , pp. 213
    • Thomas, C.D.1    Lennon, J.J.2
  • 65
    • 0026278543 scopus 로고
    • Dispersal and geneticstructure in kangaroo rats
    • Waser, P. M., and L. F. Elliott. 1991. Dispersal and geneticstructure in kangaroo rats. Evolution 45:935-943.
    • (1991) Evolution , vol.45 , pp. 935-943
    • Waser, P.M.1    Elliott, L.F.2
  • 66
    • 39649110857 scopus 로고    scopus 로고
    • Three way k-fold cross-validation of resource selection functions
    • Wiens, T. S., B. C. Dale, M. S. Boyce, andG P. Kershaw. 2008. Three way k-fold cross-validation of resource selection functions. Ecological Modelling 212:244-255.
    • (2008) Ecological Modelling , vol.212 , pp. 244-255
    • Wiens, T.S.1    Dale, B.C.2    Boyce, M.S.3    Kershaw, G.P.4
  • 67
    • 0041985115 scopus 로고    scopus 로고
    • Hierarchical Bayesian models for predicting the spread ofecological processes
    • Wikle, C. K. 2003. Hierarchical Bayesian models for predicting the spread ofecological processes. Ecology 84:1382-1394.
    • (2003) Ecology , vol.84 , pp. 1382-1394
    • Wikle, C.K.1
  • 68
    • 46149121645 scopus 로고    scopus 로고
    • Roosts and migrations ofswallows
    • Winkler, D. 2006. Roosts and migrations ofswallows. Hornero 21:85-97.
    • (2006) Hornero , vol.21 , pp. 85-97
    • Winkler, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.