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Volumn 67, Issue , 2016, Pages 250-256

A measure of spatial stratified heterogeneity

Author keywords

Probability density function; q Statistic; Spatial stratified heterogeneity

Indexed keywords

ECOLOGY;

EID: 84960448406     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2016.02.052     Document Type: Article
Times cited : (1255)

References (54)
  • 2
    • 0029507498 scopus 로고
    • Local indicators of spatial association - LISA
    • L. Anselin Local indicators of spatial association - LISA Geogr. Anal. 27 2 1995 93 115
    • (1995) Geogr. Anal. , vol.27 , Issue.2 , pp. 93-115
    • Anselin, L.1
  • 3
    • 77954353760 scopus 로고    scopus 로고
    • Thirty years of spatial econometrics
    • L. Anselin Thirty years of spatial econometrics Pap. Reg. Sci. 89 1 2010 3 26
    • (2010) Pap. Reg. Sci. , vol.89 , Issue.1 , pp. 3-26
    • Anselin, L.1
  • 4
    • 0034480873 scopus 로고    scopus 로고
    • Spatial scale problems and geostatistical solutions: A review
    • P.M. Atkinson, and N.J. Tate Spatial scale problems and geostatistical solutions: a review Prof. Geogr. 52 4 2000 607 623
    • (2000) Prof. Geogr. , vol.52 , Issue.4 , pp. 607-623
    • Atkinson, P.M.1    Tate, N.J.2
  • 6
    • 0000289374 scopus 로고
    • Detecting regions of abrupt change in maps of biological variables
    • G. Barbujani, N.L. Oden, and R.R. Sokal Detecting regions of abrupt change in maps of biological variables Syst. Zool. 38 1989 376 389
    • (1989) Syst. Zool. , vol.38 , pp. 376-389
    • Barbujani, G.1    Oden, N.L.2    Sokal, R.R.3
  • 7
    • 0000133998 scopus 로고
    • An analysis of transformations
    • G.E. Box, and D.R. Cox An analysis of transformations J. R. Stat. Soc. B 26 1964 211 243
    • (1964) J. R. Stat. Soc. B , vol.26 , pp. 211-243
    • Box, G.E.1    Cox, D.R.2
  • 9
    • 84972893020 scopus 로고
    • A dendrite method for cluster analysis
    • T. Calinski, and J. Harabasz A dendrite method for cluster analysis Commun. Stat. 3 1 1974 1 27
    • (1974) Commun. Stat. , vol.3 , Issue.1 , pp. 1-27
    • Calinski, T.1    Harabasz, J.2
  • 13
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • R.G. Congalton A review of assessing the accuracy of classifications of remotely sensed data Remote Sens. Environ. 37 1991 35 46
    • (1991) Remote Sens. Environ. , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 14
    • 20444378147 scopus 로고    scopus 로고
    • Spatial heterogeneity explains the scale dependence of the native-exotic diversity relationship
    • K.F. Davies, P. Chesson, S. Harrison, B.D. Inouye, B.A. Melbourne, and K.J. Rice Spatial heterogeneity explains the scale dependence of the native-exotic diversity relationship Ecology 86 6 2005 1602 1610
    • (2005) Ecology , vol.86 , Issue.6 , pp. 1602-1610
    • Davies, K.F.1    Chesson, P.2    Harrison, S.3    Inouye, B.D.4    Melbourne, B.A.5    Rice, K.J.6
  • 17
    • 0041653274 scopus 로고    scopus 로고
    • Integrating edge detecting and dynamic modeling in quantitative analysis of ecological boundaries
    • W. Fagan, M.J. Fortin, and C. Soykan Integrating edge detecting and dynamic modeling in quantitative analysis of ecological boundaries Bioscience 53 2003 730 738
    • (2003) Bioscience , vol.53 , pp. 730-738
    • Fagan, W.1    Fortin, M.J.2    Soykan, C.3
  • 23
    • 33744984404 scopus 로고    scopus 로고
    • Quantifying spatial heterogeneity at the landscape scale using variogram models
    • S. Garrigues, D. Allard, F. Baret, and M. Weiss Quantifying spatial heterogeneity at the landscape scale using variogram models Remote Sens. Environ. 103 1 2006 81 96
    • (2006) Remote Sens. Environ. , vol.103 , Issue.1 , pp. 81-96
    • Garrigues, S.1    Allard, D.2    Baret, F.3    Weiss, M.4
  • 24
    • 84977363017 scopus 로고
    • The analysis of spatial association by distance statistics
    • A. Getis, and J.K. Ord The analysis of spatial association by distance statistics Geogr. Anal. 24 3 1992 189 206
    • (1992) Geogr. Anal. , vol.24 , Issue.3 , pp. 189-206
    • Getis, A.1    Ord, J.K.2
  • 25
    • 17944373598 scopus 로고    scopus 로고
    • GIS and spatial data analysis: Converging perspectives
    • M. Goodchild, and R. Haining GIS and spatial data analysis: converging perspectives Pap. Reg. Sci. 83 2004 363 385
    • (2004) Pap. Reg. Sci. , vol.83 , pp. 363-385
    • Goodchild, M.1    Haining, R.2
  • 28
    • 14644402177 scopus 로고    scopus 로고
    • Quantifying landscape spatial pattern: What is the state of the art?
    • E.J. Gustafson Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1 1998 143 156
    • (1998) Ecosystems , vol.1 , pp. 143-156
    • Gustafson, E.J.1
  • 30
    • 0345189809 scopus 로고
    • Determination of world plant formations from simple climatic data
    • L.R. Holdridge Determination of world plant formations from simple climatic data Science 105 2727 1947 367 368
    • (1947) Science , vol.105 , Issue.2727 , pp. 367-368
    • Holdridge, L.R.1
  • 31
    • 0030458127 scopus 로고    scopus 로고
    • A meta population perspective in plant population biology
    • B.C. Husband, and S.C.H. Barrett A meta population perspective in plant population biology J. Anim. Ecol. 84 1996 461 469
    • (1996) J. Anim. Ecol. , vol.84 , pp. 461-469
    • Husband, B.C.1    Barrett, S.C.H.2
  • 32
    • 0033794641 scopus 로고    scopus 로고
    • From fields to objects: A review of geographic boundary analysis
    • G.M. Jacquez, S. Maruca, and M.J. Fortin From fields to objects: a review of geographic boundary analysis J. Geogr. Syst. 2 2000 221 241
    • (2000) J. Geogr. Syst. , vol.2 , pp. 221-241
    • Jacquez, G.M.1    Maruca, S.2    Fortin, M.J.3
  • 33
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond K-means
    • A.K. Jain Data clustering: 50 years beyond K-means Pattern Recognit. Lett. 31 2009 651 666
    • (2009) Pattern Recognit. Lett. , vol.31 , pp. 651-666
    • Jain, A.K.1
  • 34
    • 79961210008 scopus 로고    scopus 로고
    • Self-organizing dual clustering considering spatial analysis and hybrid distance measures
    • L.M. Jiao, Y.L. Liu, and B. Zou Self-organizing dual clustering considering spatial analysis and hybrid distance measures Sci. China: Earth Sci. 54 8 2011 1268 1278
    • (2011) Sci. China: Earth Sci. , vol.54 , Issue.8 , pp. 1268-1278
    • Jiao, L.M.1    Liu, Y.L.2    Zou, B.3
  • 36
    • 50149121778 scopus 로고    scopus 로고
    • An information-fusion method to regionalize spatial heterogeneity for improving the accuracy of spatial sampling estimation
    • L.F. Li, J.F. Wang, Z.D. Cao, X.L. Feng, L.L. Zhang, and E.S. Zhong An information-fusion method to regionalize spatial heterogeneity for improving the accuracy of spatial sampling estimation Stoch. Environ. Res. Risk Assess. 22 6 2008 689 704
    • (2008) Stoch. Environ. Res. Risk Assess. , vol.22 , Issue.6 , pp. 689-704
    • Li, L.F.1    Wang, J.F.2    Cao, Z.D.3    Feng, X.L.4    Zhang, L.L.5    Zhong, E.S.6
  • 37
    • 26944433785 scopus 로고    scopus 로고
    • Spatial and temporal patterns of China's cropland during 1990-2000: An analysis based on Landsat TM data
    • J.Y. Liu, M.L. Liu, H.Q. Tian, and et al. Spatial and temporal patterns of China's cropland during 1990-2000: an analysis based on Landsat TM data Remote Sens. Environ. 98 2005 442 456
    • (2005) Remote Sens. Environ. , vol.98 , pp. 442-456
    • Liu, J.Y.1    Liu, M.L.2    Tian, H.Q.3
  • 38
    • 0027881344 scopus 로고
    • Spatial autocorrelation: Trouble or new paradigm?
    • P. Legendre Spatial autocorrelation: trouble or new paradigm? Ecology 76 6 1993 1659 1673
    • (1993) Ecology , vol.76 , Issue.6 , pp. 1659-1673
    • Legendre, P.1
  • 39
    • 22444446239 scopus 로고    scopus 로고
    • Bayesian areal wombling for geographical boundary analysis
    • H. Lu, and B.P. Carlin Bayesian areal wombling for geographical boundary analysis Geogr. Anal. 37 2004 265 285
    • (2004) Geogr. Anal. , vol.37 , pp. 265-285
    • Lu, H.1    Carlin, B.P.2
  • 41
    • 84865486245 scopus 로고
    • Principles of geostatistics
    • G. Matheron Principles of geostatistics Econ. Geol. 58 1963 1246 1266
    • (1963) Econ. Geol. , vol.58 , pp. 1246-1266
    • Matheron, G.1
  • 42
    • 76549254593 scopus 로고
    • Notes on continuous stochastic phenomena
    • P.A.P. Moran Notes on continuous stochastic phenomena Biometrika 37 1950 17 23
    • (1950) Biometrika , vol.37 , pp. 17-23
    • Moran, P.A.P.1
  • 44
    • 44949090419 scopus 로고    scopus 로고
    • Measuring population densities in a heterogeneous world
    • W. Schwanghart, J. Beck, and N. Kuhn Measuring population densities in a heterogeneous world Global Ecol. Biogeogr. 17 2008 566 568
    • (2008) Global Ecol. Biogeogr. , vol.17 , pp. 566-568
    • Schwanghart, W.1    Beck, J.2    Kuhn, N.3
  • 45
    • 33747479974 scopus 로고
    • Sur la division des corps matériels en parties
    • in French
    • H. Steinhaus Sur la division des corps matériels en parties Bull. Acad. Polon. Sci. 4 12 1957 801 804 (in French)
    • (1957) Bull. Acad. Polon. Sci. , vol.4 , Issue.12 , pp. 801-804
    • Steinhaus, H.1
  • 46
    • 33745223877 scopus 로고    scopus 로고
    • K-means clustering: A half-century synthesis
    • D. Steinley K-means clustering: a half-century synthesis Br. J. Math. Stat. Psychol. 59 2006 1 34
    • (2006) Br. J. Math. Stat. Psychol. , vol.59 , pp. 1-34
    • Steinley, D.1
  • 47
    • 0032805352 scopus 로고    scopus 로고
    • The spatial structure of populations
    • C.D. Thomas, and W.E. Kunin The spatial structure of populations J. Anim. Ecol. 68 1999 647 657
    • (1999) J. Anim. Ecol. , vol.68 , pp. 647-657
    • Thomas, C.D.1    Kunin, W.E.2
  • 48
    • 0000565591 scopus 로고
    • A computer movie simulating urban growth in the Detroit region
    • W.R. Tobler A computer movie simulating urban growth in the Detroit region Econ. Geogr. 46 1970 234 240
    • (1970) Econ. Geogr. , vol.46 , pp. 234-240
    • Tobler, W.R.1
  • 49
    • 0026296608 scopus 로고
    • Global land cover classification by remote sensing: Present capacities and future possibilities
    • J. Townshend, C. Justice, W. Li, C. Gurney, and J. McManus Global land cover classification by remote sensing: present capacities and future possibilities Remote Sens. Environ. 35 2-3 1991 243 255
    • (1991) Remote Sens. Environ. , vol.35 , Issue.2-3 , pp. 243-255
    • Townshend, J.1    Justice, C.2    Li, W.3    Gurney, C.4    McManus, J.5
  • 50
    • 76649121190 scopus 로고    scopus 로고
    • Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China
    • J.F. Wang, X.H. Li, G. Christakos, Y.L. Liao, T. Zhang, X. Gu, and X.Y. Zheng Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China Int. J. Geogr. Inf. Sci. 24 1 2010 107 127
    • (2010) Int. J. Geogr. Inf. Sci. , vol.24 , Issue.1 , pp. 107-127
    • Wang, J.F.1    Li, X.H.2    Christakos, G.3    Liao, Y.L.4    Zhang, T.5    Gu, X.6    Zheng, X.Y.7
  • 51
    • 77949566535 scopus 로고    scopus 로고
    • Sample surveying to estimate the mean of a heterogeneous surface: Reducing the error variance through zoning
    • J.F. Wang, R. Haining, and Z.D. Cao Sample surveying to estimate the mean of a heterogeneous surface: reducing the error variance through zoning Int. J. Geogr. Inf. Sci. 24 4 2010 523 543
    • (2010) Int. J. Geogr. Inf. Sci. , vol.24 , Issue.4 , pp. 523-543
    • Wang, J.F.1    Haining, R.2    Cao, Z.D.3
  • 52
    • 84886789529 scopus 로고    scopus 로고
    • Sandwich estimation for multi-unit reporting on a stratified heterogeneous surface
    • J.F. Wang, R. Haining, T.J. Liu, L.F. Li, and C.S. Jiang Sandwich estimation for multi-unit reporting on a stratified heterogeneous surface Environ. Plan. A 45 10 2013 2515 2534
    • (2013) Environ. Plan. A , vol.45 , Issue.10 , pp. 2515-2534
    • Wang, J.F.1    Haining, R.2    Liu, T.J.3    Li, L.F.4    Jiang, C.S.5
  • 53
    • 0001145561 scopus 로고
    • Differential systematics
    • W.H. Womble Differential systematics Science 114 1951 315 322
    • (1951) Science , vol.114 , pp. 315-322
    • Womble, W.H.1
  • 54
    • 33745615125 scopus 로고    scopus 로고
    • Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
    • Q. Yu, P. Gong, N. Clinton, G. Biging, M. Kelly, and D. Schirokauer Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery Photogramm. Eng. Remote Sens. 72 7 2006 799 811
    • (2006) Photogramm. Eng. Remote Sens. , vol.72 , Issue.7 , pp. 799-811
    • Yu, Q.1    Gong, P.2    Clinton, N.3    Biging, G.4    Kelly, M.5    Schirokauer, D.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.