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Volumn , Issue , 2011, Pages 29-41

The state of spatial and spatio-temporal statistical modeling

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EID: 84883391982     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4419-7390-0_3     Document Type: Chapter
Times cited : (3)

References (51)
  • 3
    • 0006198702 scopus 로고    scopus 로고
    • Hierarchical Bayesian time series models
    • Hanson K, Silver R eds, Kluwer Academic Publishers, New York
    • Berliner LM (1996) Hierarchical Bayesian time series models. In: Hanson K, Silver R (eds), Maximum entropy and Bayesian methods, pp. 15-22. Kluwer Academic Publishers, New York.
    • (1996) Maximum Entropy and Bayesian Methods , pp. 15-22
    • Berliner, L.M.1
  • 4
    • 0442309446 scopus 로고    scopus 로고
    • An essay on statistical decision theory
    • Brown LD (2000) An essay on statistical decision theory. J Am Stat Assoc. 95:1277-1281.
    • (2000) J Am Stat Assoc , vol.95 , pp. 1277-1281
    • Brown, L.D.1
  • 11
    • 65349116559 scopus 로고    scopus 로고
    • Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling
    • Cressie NC, Calder C, Clark JS, Ver Hoef JM, Wikle C (2009). Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecol Appl 19:553-570.
    • (2009) Ecol Appl , vol.19 , pp. 553-570
    • Cressie, N.C.1    Calder, C.2    Clark, J.S.3    Ver Hoef, J.M.4    Wikle, C.5
  • 12
    • 34347219306 scopus 로고    scopus 로고
    • Fixed rank kriging for large spatial datasets
    • Department of Statistics, The Ohio State University, Columbus, OH
    • Cressie N, Johannesson G (2006) Fixed rank kriging for large spatial datasets. Technical Report No. 780, Department of Statistics, The Ohio State University, Columbus, OH.
    • (2006) Technical Report No. 780
    • Cressie, N.1    Johannesson, G.2
  • 15
    • 0026311694 scopus 로고
    • Statistical analysis in the computer age
    • Efron B, Tibshirani R (1991) Statistical analysis in the computer age. Science 253:390-395.
    • (1991) Science , vol.253 , pp. 390-395
    • Efron, B.1    Tibshirani, R.2
  • 16
    • 33750007327 scopus 로고    scopus 로고
    • Covariance tapering for interpolation of large spatial datasets
    • Furrer R, Genton MG, Nychka D (2006) Covariance tapering for interpolation of large spatial datasets. J Comput Graph Stat 15:502-523.
    • (2006) J Comput Graph Stat , vol.15 , pp. 502-523
    • Furrer, R.1    Genton, M.G.2    Nychka, D.3
  • 22
    • 77956113183 scopus 로고    scopus 로고
    • Semiparametric geographically weighted response curves with application to site-specific agriculture
    • Holan S, Wang S, Arab A, Sadler J, Stone K (2008) Semiparametric geographically weighted response curves with application to site-specific agriculture. J Agric Biol Environ Stat 13:424-439.
    • (2008) J Agric Biol Environ Stat , vol.13 , pp. 424-439
    • Holan, S.1    Wang, S.2    Arab, A.3    Sadler, J.4    Stone, K.5
  • 23
    • 34548032135 scopus 로고    scopus 로고
    • Shifts in the spatio-temporal growth dynamics of shortleaf pine
    • Hooten MB, Wikle CK (2007) Shifts in the spatio-temporal growth dynamics of shortleaf pine. Environ Ecol Stat 14:207-227.
    • (2007) Environ Ecol Stat , vol.14 , pp. 207-227
    • Hooten, M.B.1    Wikle, C.K.2
  • 24
    • 77952577827 scopus 로고    scopus 로고
    • Statistical agent-based models for discrete spatio-temporal systems
    • Hooten MB, Wikle CK (2010) Statistical agent-based models for discrete spatio-temporal systems. J Am Stat Assoc 105:236-248.
    • (2010) J Am Stat Assoc , vol.105 , pp. 236-248
    • Hooten, M.B.1    Wikle, C.K.2
  • 25
    • 0242592267 scopus 로고    scopus 로고
    • Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model
    • Hooten, MB, Larsen DR, Wikle CK (2003) Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model. Landsc Ecol 18:487-502.
    • (2003) Landsc Ecol , vol.18 , pp. 487-502
    • Hooten, M.B.1    Larsen, D.R.2    Wikle, C.K.3
  • 26
    • 34547692612 scopus 로고    scopus 로고
    • Hierarchical spatiotemporal matrix models for characterizing invasions
    • Hooten MB, Wikle CK, Dorazio RM, Royle JA (2007) Hierarchical spatiotemporal matrix models for characterizing invasions. Biometrics 63:558-567.
    • (2007) Biometrics , vol.63 , pp. 558-567
    • Hooten, M.B.1    Wikle, C.K.2    Dorazio, R.M.3    Royle, J.A.4
  • 27
    • 70249118188 scopus 로고    scopus 로고
    • Optimal spatio-temporal hybrid sampling designs for monitoring ecological structure
    • Hooten MB, Wikle CK, Sheriff S, Rushin J (2009) Optimal spatio-temporal hybrid sampling designs for monitoring ecological structure. J Veg Sci 20:639-649.
    • (2009) J Veg Sci , vol.20 , pp. 639-649
    • Hooten, M.B.1    Wikle, C.K.2    Sheriff, S.3    Rushin, J.4
  • 28
    • 50549099663 scopus 로고    scopus 로고
    • Landscape ecology of eastern coyotes based on large-scale estimates of abundance
    • Kays RW, Gompper ME, Ray JC (2008) Landscape ecology of eastern coyotes based on large-scale estimates of abundance. Ecol Appl 18:1014-1027.
    • (2008) Ecol Appl , vol.18 , pp. 1014-1027
    • Kays, R.W.1    Gompper, M.E.2    Ray, J.C.3
  • 30
    • 34249822549 scopus 로고    scopus 로고
    • Data cloning: Easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods
    • Lele SR, Dennis B, Lutscher F (2007) Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods. Ecol Lett 10:551-563.
    • (2007) Ecol Lett , vol.10 , pp. 551-563
    • Lele, S.R.1    Dennis, B.2    Lutscher, F.3
  • 33
    • 0000375310 scopus 로고
    • Sampling design optimization for spatial functions
    • Olea RA (1984) Sampling design optimization for spatial functions. Math Geol 16:369-392.
    • (1984) Math Geol , vol.16 , pp. 369-392
    • Olea, R.A.1
  • 34
    • 33748653373 scopus 로고    scopus 로고
    • Hierarchical models of animal abundance and occurrence
    • Royle JA, Dorazio RM (2006) Hierarchical models of animal abundance and occurrence. J Agric Biol Environ Stat 11:249-263.
    • (2006) J Agric Biol Environ Stat , vol.11 , pp. 249-263
    • Royle, J.A.1    Dorazio, R.M.2
  • 36
    • 34248583853 scopus 로고    scopus 로고
    • A Bayesian state-space formulation of dynamic occupancy models
    • Royle JA, Kery M (2007) A Bayesian state-space formulation of dynamic occupancy models. Ecology 88:1813-1823.
    • (2007) Ecology , vol.88 , pp. 1813-1823
    • Royle, J.A.1    Kery, M.2
  • 37
    • 20344397922 scopus 로고    scopus 로고
    • Efficient statistical mapping of avian count data
    • Royle JA, Wikle CK (2005) Efficient statistical mapping of avian count data. Environ Ecol Stat 12:225-243.
    • (2005) Environ Ecol Stat , vol.12 , pp. 225-243
    • Royle, J.A.1    Wikle, C.K.2
  • 40
    • 35349012069 scopus 로고    scopus 로고
    • Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite
    • Shi T, Cressie NAC (2007) Global statistical analysis of MISR aerosol data: a massive data product from NASA's Terra satellite. Environmetrics 18:665-680.
    • (2007) Environmetrics , vol.18 , pp. 665-680
    • Shi, T.1    Cressie, N.A.C.2
  • 42
    • 2142684421 scopus 로고    scopus 로고
    • Spatially balanced sampling of natural resources
    • Stevens DL, Olsen AR (2004) Spatially balanced sampling of natural resources. J Am Stat Assoc 99:262-278.
    • (2004) J Am Stat Assoc , vol.99 , pp. 262-278
    • Stevens, D.L.1    Olsen, A.R.2
  • 44
    • 33750575909 scopus 로고    scopus 로고
    • Spatial statistical models that use flow and stream distance
    • Ver Hoef JM, Peterson E, Theobald D (2006) Spatial statistical models that use flow and stream distance. Environ Ecol Stat 13:449-464.
    • (2006) Environ Ecol Stat , vol.13 , pp. 449-464
    • Ver Hoef, J.M.1    Peterson, E.2    Theobald, D.3
  • 46
    • 0012091273 scopus 로고    scopus 로고
    • Space-time models and dynamic design of environmental monitoring networks
    • Wikle CK, Royle JA (1999) Space-time models and dynamic design of environmental monitoring networks. J Agric Biol Environ Stat 4:489-507.
    • (1999) J Agric Biol Environ Stat , vol.4 , pp. 489-507
    • Wikle, C.K.1    Royle, J.A.2
  • 48
    • 0041985115 scopus 로고    scopus 로고
    • Hierarchical Bayesian models for predicting the spread of ecological processes
    • Wikle CK (2003) Hierarchical Bayesian models for predicting the spread of ecological processes. Ecology 84:1382-1394.
    • (2003) Ecology , vol.84 , pp. 1382-1394
    • Wikle, C.K.1
  • 49
    • 22244465219 scopus 로고    scopus 로고
    • Modeling spatial-temporal binary data using Markov random fields
    • Zhu J, Huang H-C, Wu C-T (2005) Modeling spatial-temporal binary data using Markov random fields. J Agric Biol Environ Stat 10:212-225.
    • (2005) J Agric Biol Environ Stat , vol.10 , pp. 212-225
    • Zhu, J.1    Huang, H.-C.2    Wu, C.-T.3
  • 50
    • 33646048012 scopus 로고    scopus 로고
    • Spatial sampling design for prediction with estimated parameters
    • Zhu Z, Stein M (2006) Spatial sampling design for prediction with estimated parameters. J Agric Biol Environ Stat 11:24-44.
    • (2006) J Agric Biol Environ Stat , vol.11 , pp. 24-44
    • Zhu, Z.1    Stein, M.2
  • 51
    • 33748590276 scopus 로고    scopus 로고
    • Optimal network design for spatial prediction, covariance estimation, and empirical prediction
    • Zimmerman DL (2006) Optimal network design for spatial prediction, covariance estimation, and empirical prediction. Environmetrics 17:635-652.
    • (2006) Environmetrics , vol.17 , pp. 635-652
    • Zimmerman, D.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.