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Volumn 35, Issue 2, 2014, Pages 19-30

Crowdsourcing meets ecology: Hemispherewide spatiotemporal species distribution models

Author keywords

[No Author keywords available]

Indexed keywords

CONSERVATION; CROWDSOURCING; ECOLOGY;

EID: 84904898177     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: 10.1609/aimag.v35i2.2533     Document Type: Article
Times cited : (41)

References (43)
  • 2
    • 33846834015 scopus 로고    scopus 로고
    • Daily mass changes in landbirds during migration stopover on the south shore of lake ontario
    • dx.doi.org/10.1642/ 0004-8038(2007) 124[122:DMCILD]2.0.CO;2
    • Bonter, D. N.; Donovan, T. M.; Brooks, E. W.; and Hobson, K. A. 2009. Daily Mass Changes in Landbirds During Migration Stopover on the South Shore of Lake Ontario. The Auk 124(1): 122-133. dx.doi.org/10.1642/0004-8038(2007)124 [122:DMCILD]2.0.CO;2
    • (2009) The Auk , vol.124 , Issue.1 , pp. 122-133
    • Bonter, D.N.1    Donovan, T.M.2    Brooks, E.W.3    Hobson, K.A.4
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • dx.doi.org/10.1007/BF00058655
    • Breiman, L. 1996. Bagging Predictors. Machine Learning 24(2): 123-140. dx.doi.org/10.1007/BF00058655
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 0000545143 scopus 로고
    • Kriging nonstationary data
    • dx.doi.org/10.1080/01621459.1986.10478315
    • Cressie, N. 1986. Kriging Nonstationary Data. Journal of the American Statistical Association 81(395): 625-634. dx.doi.org/10.1080/01621459.1986. 10478315
    • (1986) Journal of the American Statistical Association , vol.81 , Issue.395 , pp. 625-634
    • Cressie, N.1
  • 8
    • 37849041594 scopus 로고    scopus 로고
    • Fixed rank kriging for very large spatial data sets
    • dx.doi.org/10.1111/j.1467- 9868.2007.00633.x
    • Cressie, N., and Johannesson, G. 2008. Fixed Rank Kriging for Very Large Spatial Data Sets. Journal of the Royal Statistical. Society B 70(1): 209-226. dx.doi.org/10.1111/j.1467- 9868.2007.00633.x
    • (2008) Journal of the Royal Statistical. Society B , vol.70 , Issue.1 , pp. 209-226
    • Cressie, N.1    Johannesson, G.2
  • 10
    • 84904907069 scopus 로고    scopus 로고
    • Blackpoll warbler (setophaga striata)
    • ed. A. Poole. Ithaca, NY: Cornell Laboratory of Ornithology
    • DeLuca, W.; Holberton, R.; Hunt, P. D.; and Eliason, B. C. 2013. Blackpoll Warbler (Setophaga striata). In The Birds of North America Online, ed. A. Poole. Ithaca, NY: Cornell Laboratory of Ornithology.
    • (2013) The Birds of North America Online
    • Deluca, W.1    Holberton, R.2    Hunt, P.D.3    Eliason, B.C.4
  • 11
    • 78149402921 scopus 로고    scopus 로고
    • Citizen science as an ecological research tool: Challenges and benefits
    • dx.doi.org/10.1146/annurev-ecolsys-102209-144636
    • Dickinson, J. L.; Zuckerberg, B.; and Bonter, D. N. 2010. Citizen Science as an Ecological Research Tool: Challenges and Benefits. Annual Review of Ecology, Evolution, and Systematics 41(1): 149-172. dx.doi.org/10.1146/annurev- ecolsys- 102209-144636
    • (2010) Annual Review of Ecology, Evolution, and Systematics , vol.41 , Issue.1 , pp. 149-172
    • Dickinson, J.L.1    Zuckerberg, B.2    Bonter, D.N.3
  • 12
    • 33846834016 scopus 로고    scopus 로고
    • Incorporating availability for detection in estimates of bird abundance
    • dx.doi.org/10.1642/0004-8038(2007)124[96:IAFDIE] 2.0.CO;2
    • Diefenbach, D.; Marshall, M.; Mattice, J.; Brauning, D.; and Johnson, D. 2007. Incorporating Availability for Detection in Estimates of Bird Abundance. The Auk 124(1): 96-106. dx.doi.org/10.1642/0004-8038(2007)124[96:IAFDIE] 2.0.CO;2
    • (2007) The Auk , vol.124 , Issue.1 , pp. 96-106
    • Diefenbach, D.1    Marshall, M.2    Mattice, J.3    Brauning, D.4    Johnson, D.5
  • 13
    • 33645333402 scopus 로고    scopus 로고
    • Assessing the impacts of wind farms on birds
    • dx.doi.org/10.1111/j.1474-919X.2006.00516.x
    • Drewitt, A. L., and Langston, R. H. 2006. Assessing the Impacts of Wind Farms on Birds. Ibis 148(s1): 29-42. dx.doi.org/10.1111/j.1474-919X.2006.00516.x
    • (2006) Ibis , vol.148 , Issue.S1 , pp. 29-42
    • Drewitt, A.L.1    Langston, R.H.2
  • 15
    • 84893383816 scopus 로고    scopus 로고
    • Adaptive spatio- temporal exploratory models: Hemisphere-wide species distributions from massively crowdsourced ebird data
    • Palo Alto, CA: AAAI Press
    • Fink, D.; Damoulas, T.; and Dave, J. 2013. Adaptive Spatio- Temporal Exploratory Models: Hemisphere-Wide Species Distributions From Massively Crowdsourced eBird Data. In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press.
    • (2013) Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence
    • Fink, D.1    Damoulas, T.2    Dave, J.3
  • 18
    • 84864312314 scopus 로고    scopus 로고
    • Hierarchical modeling for spatial data problems
    • dx.doi.org/10.1016/ j.spasta.2012.02.005
    • Gelfand, A. 2012. Hierarchical Modeling for Spatial Data Problems. Spatial Statistics 1: 30-39. dx.doi.org/10.1016/ j.spasta.2012.02.005
    • (2012) Spatial Statistics , vol.1 , pp. 30-39
    • Gelfand, A.1
  • 19
    • 77955452901 scopus 로고    scopus 로고
    • Computational sustainability: Computational methods for a sustainable environment, economy, and society
    • Gomes, C. P. 2009. Computational Sustainability: Computational Methods for a Sustainable Environment, Economy, and Society. The Bridge 39(4): 5-13.
    • (2009) The Bridge , vol.39 , Issue.4 , pp. 5-13
    • Gomes, C.P.1
  • 20
    • 47649113331 scopus 로고    scopus 로고
    • Assessing the impact of climate variation on survival in vertebrate populations
    • dx.doi.org/10.1111/j.1469-185X.2008.00047.x
    • Grosbois, V.; Gimenez, O.; Gaillard, J.; Pradel, R.; Barbraud, C.; Clobert, J.; Møller, A.; and Weimerskirch, H. 2008. Assessing the Impact of Climate Variation on Survival in Vertebrate Populations. Biological Reviews 83(3): 357-399. dx.doi.org/10.1111/j.1469-185X.2008.00047.x
    • (2008) Biological Reviews , vol.83 , Issue.3 , pp. 357-399
    • Grosbois, V.1    Gimenez, O.2    Gaillard, J.3    Pradel, R.4    Barbraud, C.5    Clobert, J.6    Møller, A.7    Weimerskirch, H.8
  • 23
    • 33845946427 scopus 로고    scopus 로고
    • Blackthroated blue warbler (setophaga caerulescens)
    • ed. A. Poole. Ithaca, NY: Cornell Laboratory of Ornithology
    • Holmes, R. T.; Rodenhouse, N.; and Sillett, T. 2013. Blackthroated Blue Warbler (Setophaga caerulescens). In The Birds of North America Online, ed. A. Poole. Ithaca, NY: Cornell Laboratory of Ornithology.
    • (2013) The Birds of North America Online
    • Holmes, R.T.1    Rodenhouse, N.2    Sillett, T.3
  • 24
    • 0036004133 scopus 로고    scopus 로고
    • Resolution- consistent spatial prediction of global processes from satellite data
    • dx.doi.org/10.1198/106186002317375622
    • Huang, H.-C.; Cressie, N.; and Gabrosek, J. 2002. Resolution- Consistent Spatial Prediction of Global Processes from Satellite Data. Journal of Computational and Graphical Statistics 11(1): 63-88. dx.doi.org/10.1198/ 106186002317375 622
    • (2002) Journal of Computational and Graphical Statistics , vol.11 , Issue.1 , pp. 63-88
    • Huang, H.-C.1    Cressie, N.2    Gabrosek, J.3
  • 25
    • 78751616255 scopus 로고    scopus 로고
    • Nonstationary covariance models for global data
    • dx.doi.org/10.1214/08-AOAS183
    • Jun, M., and Stein, M. L. 2008. Nonstationary Covariance Models for Global Data. Annals of Applied Statistics 2(4): 1271-1289. dx.doi.org/10.1214/ 08-AOAS183
    • (2008) Annals of Applied Statistics , vol.2 , Issue.4 , pp. 1271-1289
    • Jun, M.1    Stein, M.L.2
  • 27
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • dx.doi.org/10.1023/A:1022859003006
    • Kuncheva, L., and Whitaker, C. 2003. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. Machine Learning 51(2): 181-207. dx.doi.org/10.1023/A:1022859003006
    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.1    Whitaker, C.2
  • 28
    • 84881219642 scopus 로고    scopus 로고
    • Population-level scaling of avian migration speed with body size and migration distance for powered fliers
    • dx.doi.org/10. 1890/12-1768.1
    • La Sorte, F. A.; Fink, D.; Hochachka, W. M.; DeLong, J. P.; and Kelling, S. 2013. Population-Level Scaling of Avian Migration Speed with Body Size and Migration Distance for Powered Fliers. Ecology 94(8): 1839-1847. dx.doi.org/10. 1890/12-1768.1
    • (2013) Ecology , vol.94 , Issue.8 , pp. 1839-1847
    • La Sorte, F.A.1    Fink, D.2    Hochachka, W.M.3    Delong, J.P.4    Kelling, S.5
  • 29
    • 0027101175 scopus 로고
    • The problem of pattern and scale in ecology. The robert h. Macarthur award lecture
    • dx.doi.org/10.2307/1941447
    • Levin, S. A. 1992. The Problem of Pattern and Scale in Ecology. The Robert H. MacArthur Award Lecture. Ecology 73(6): 1943-1967. dx.doi.org/10.2307/1941447
    • (1992) Ecology , vol.73 , Issue.6 , pp. 1943-1967
    • Levin, S.A.1
  • 31
    • 20144376492 scopus 로고    scopus 로고
    • Nonparametric spatial covariance functions: Estimation and testing
    • dx.doi.org/10.1016/j.tree.2005.03.009
    • Ostfeld, R.; Glass, G.; and Keesing, F. 2005. Nonparametric Spatial Covariance Functions: Estimation and Testing. Trends in Ecology and Evolution 20(6): 328-336. dx.doi.org/10.1016/j.tree.2005.03.009
    • (2005) Trends in Ecology and Evolution , vol.20 , Issue.6 , pp. 328-336
    • Ostfeld, R.1    Glass, G.2    Keesing, F.3
  • 34
    • 33644977319 scopus 로고    scopus 로고
    • Spatially adaptive smoothing splines
    • dx.doi.org/10.1093/biomet/93.1.113
    • Pintore, A.; Speckman, P.; and Holmes, C. C. 2006. Spatially Adaptive Smoothing Splines. Biometrika 93(1): 113-125. dx.doi.org/10.1093/biomet/93.1.113
    • (2006) Biometrika , vol.93 , Issue.1 , pp. 113-125
    • Pintore, A.1    Speckman, P.2    Holmes, C.C.3
  • 38
    • 84875669628 scopus 로고    scopus 로고
    • Using bird species community occurrence to prioritize forests for old growth restoration
    • dx.doi.org/10.1111/j.1600-0587.2012.07681.x
    • Schuster, R., and Arcese, P. 2013. Using Bird Species Community Occurrence to Prioritize Forests for Old Growth Restoration. Ecography 36(4): 499-507. dx.doi.org/10.1111/j.1600-0587.2012.07681.x
    • (2013) Ecography , vol.36 , Issue.4 , pp. 499-507
    • Schuster, R.1    Arcese, P.2
  • 39
    • 14944355575 scopus 로고    scopus 로고
    • Space-time covariance functions
    • dx.doi.org/10.1198/016214504000000854
    • Stein, M. L. 2005. Space-Time Covariance Functions. Journal of the American Statistical Association 100: 310-321. dx.doi.org/10.1198/ 016214504000000854
    • (2005) Journal of the American Statistical Association , vol.100 , pp. 310-321
    • Stein, M.L.1
  • 40
    • 60149110307 scopus 로고    scopus 로고
    • Tracking long-distance songbird migration by using geolocators
    • dx.doi.org/10.1126/science.1166664
    • Stutchbury, B. J.; Tarof, S. A.; Done, T.; Gow, E.; Kramer, P. M.; Tautin, J.; Fox, J. W.; and Afanasyev, V. 2009. Tracking Long-Distance Songbird Migration by Using Geolocators. Science 323(5916): 896-896. dx.doi.org/10.1126/ science.1166664
    • (2009) Science , vol.323 , Issue.5916 , pp. 896-896
    • Stutchbury, B.J.1    Tarof, S.A.2    Done, T.3    Gow, E.4    Kramer, P.M.5    Tautin, J.6    Fox, J.W.7    Afanasyev, V.8
  • 41
    • 68349141688 scopus 로고    scopus 로고
    • EBird: A citizen-based bird observation network in the biological sciences
    • dx.doi.org/10.1016/j.biocon.2009.05.006
    • Sullivan, B. L.; Wood, C. L.; Iliff, M. J.; Bonney, R. E.; Fink, D.; and Kelling, S. 2009. eBird: A Citizen-Based Bird Observation Network in the Biological Sciences. Biological Conservation 142(10): 2282-2292. dx.doi.org/10.1016/j.biocon.2009.05.006
    • (2009) Biological Conservation , vol.142 , Issue.10 , pp. 2282-2292
    • Sullivan, B.L.1    Wood, C.L.2    Iliff, M.J.3    Bonney, R.E.4    Fink, D.5    Kelling, S.6
  • 42
    • 29144529837 scopus 로고    scopus 로고
    • A fast, optimal spatial-prediction method for massive datasets
    • dx.doi.org/10.1198/016214505000000420
    • Tzeng, S.; Huang, H.-C.; and Cressie, N. 2005. A Fast, Optimal Spatial-Prediction Method for Massive Datasets. Journal of the American Statistical Association 100(472): 1343-1357. dx.doi.org/10.1198/ 016214505000000420
    • (2005) Journal of the American Statistical Association , vol.100 , Issue.472 , pp. 1343-1357
    • Tzeng, S.1    Huang, H.-C.2    Cressie, N.3


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