메뉴 건너뛰기




Volumn 31, Issue 5, 2008, Pages 556-566

Detecting spatial hot spots in landscape ecology

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; HOT SPOT; LANDSCAPE; NEIGHBORHOOD;

EID: 53349128921     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.0906-7590.2008.05548.x     Document Type: Article
Times cited : (189)

References (64)
  • 1
    • 33748616521 scopus 로고    scopus 로고
    • Using AMOEBA to create a spatial weights matrix and identify spatial clusters
    • Aldstadt, J. Getis, A. 2006. Using AMOEBA to create a spatial weights matrix and identify spatial clusters Geogr. Anal. 38: 327 343.
    • (2006) Geogr. Anal. , vol.38 , pp. 327-343
    • Aldstadt, J.1    Getis, A.2
  • 2
    • 0029507498 scopus 로고
    • Local indicators of spatial association - LISA
    • Anselin, L. 1995. Local indicators of spatial association - LISA Geogr. Anal. 27: 93 115.
    • (1995) Geogr. Anal. , vol.27 , pp. 93-115
    • Anselin, L.1
  • 3
    • 0036871723 scopus 로고    scopus 로고
    • Density and local attribute estimation of an infection disease using MapInfo
    • Atkinson, P. J. Unwin, D. J. 2002. Density and local attribute estimation of an infection disease using MapInfo Comput. Geosci. 28: 1095 1105.
    • (2002) Comput. Geosci. , vol.28 , pp. 1095-1105
    • Atkinson, P.J.1    Unwin, D.J.2
  • 4
    • 34247211255 scopus 로고    scopus 로고
    • Clustering via nonparametric density estimation
    • Azzalini, A. Torelli, N. 2007. Clustering via nonparametric density estimation Stat. Comput. 17: 71 80.
    • (2007) Stat. Comput. , vol.17 , pp. 71-80
    • Azzalini, A.1    Torelli, N.2
  • 6
    • 0002588535 scopus 로고    scopus 로고
    • Trapping mountain pine beetles Dendroctonus ponderosae (Coleoptera: Scolytidae) using pheromone-baited traps: Effects of trapping distance
    • Barclay, H. et al. 1998. Trapping mountain pine beetles Dendroctonus ponderosae (Coleoptera: Scolytidae) using pheromone-baited traps: effects of trapping distance J. Entomol. Soc. BC 95: 25 31.
    • (1998) J. Entomol. Soc. BC , vol.95 , pp. 25-31
    • Barclay, H.1
  • 7
    • 30744440897 scopus 로고    scopus 로고
    • Effects of fire return rates on traversability of lodgepole pine forests for mountain pine beetle (Coleoptera: Scolytidae) and the use of patch metrics to estimate traversability
    • Barclay, H. J. et al. 2005. Effects of fire return rates on traversability of lodgepole pine forests for mountain pine beetle (Coleoptera: Scolytidae) and the use of patch metrics to estimate traversability Can. Entomol. 137: 566 583.
    • (2005) Can. Entomol. , vol.137 , pp. 566-583
    • Barclay, H.J.1
  • 8
    • 0001733932 scopus 로고
    • The detection of clusters in rare diseases
    • Besag, J. Newell, J. 1991. The detection of clusters in rare diseases J. Roy. Stat. Soc. A 154: 143 155.
    • (1991) J. Roy. Stat. Soc. a , vol.154 , pp. 143-155
    • Besag, J.1    Newell, J.2
  • 9
    • 6944232411 scopus 로고    scopus 로고
    • Spatial analysis of taxonomic and genetic patterns and their potental for understanding evolutionary histories
    • Bickford, S. A. et al. 2004. Spatial analysis of taxonomic and genetic patterns and their potental for understanding evolutionary histories J. Biogeogr. 31: 1715 1733.
    • (2004) J. Biogeogr. , vol.31 , pp. 1715-1733
    • Bickford, S.A.1
  • 10
    • 0036303285 scopus 로고    scopus 로고
    • Local measures of spatial association
    • Boots, B. 2002. Local measures of spatial association Ecoscience 9: 168 176.
    • (2002) Ecoscience , vol.9 , pp. 168-176
    • Boots, B.1
  • 11
    • 0142072528 scopus 로고    scopus 로고
    • Developing local measures of spatial association for categorical data
    • Boots, B. 2003. Developing local measures of spatial association for categorical data J. Geogr. Syst. 5: 139 160.
    • (2003) J. Geogr. Syst. , vol.5 , pp. 139-160
    • Boots, B.1
  • 12
    • 33244458696 scopus 로고    scopus 로고
    • Local configuration measures for categorical spatial data: Binary regular lattices
    • Boots, B. 2006. Local configuration measures for categorical spatial data: binary regular lattices J. Geogr. Syst. 8: 1 24.
    • (2006) J. Geogr. Syst. , vol.8 , pp. 1-24
    • Boots, B.1
  • 13
    • 0034494883 scopus 로고    scopus 로고
    • Global and local spatial autocorrelation in bounded regular tessellations
    • Boots, B. Tiefelsdorf, M. 2000. Global and local spatial autocorrelation in bounded regular tessellations J. Geogr. Syst. 2: 319 348.
    • (2000) J. Geogr. Syst. , vol.2 , pp. 319-348
    • Boots, B.1    Tiefelsdorf, M.2
  • 15
    • 0021595669 scopus 로고
    • On the relationship between abundance and distribution of species
    • Brown, J. H. 1984. On the relationship between abundance and distribution of species Am. Nat. 124: 255 279.
    • (1984) Am. Nat. , vol.124 , pp. 255-279
    • Brown, J.H.1
  • 16
    • 0029505540 scopus 로고
    • Estimating probability surfaces for geographical point data: An adaptive kernel algorithm
    • Brunsdon, C. 1995. Estimating probability surfaces for geographical point data: an adaptive kernel algorithm Comput. Geosci. 21: 877 894.
    • (1995) Comput. Geosci. , vol.21 , pp. 877-894
    • Brunsdon, C.1
  • 17
    • 0000700874 scopus 로고
    • Territoriality and home range concepts as applied to mammals
    • Burt, W. H. 1943. Territoriality and home range concepts as applied to mammals J. Mammal. 24: 346 352.
    • (1943) J. Mammal. , vol.24 , pp. 346-352
    • Burt, W.H.1
  • 19
    • 13544277017 scopus 로고    scopus 로고
    • Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance
    • Cocu, N. et al. 2005. Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance Agricult. For. Entomol. 7: 31 43.
    • (2005) Agricult. For. Entomol. , vol.7 , pp. 31-43
    • Cocu, N.1
  • 20
    • 0042691469 scopus 로고    scopus 로고
    • Geographic analysis of forest health indicators using spatial scan statistics
    • Coulston, J. W. Riitters, K. H. 2003. Geographic analysis of forest health indicators using spatial scan statistics Environ. Manage. 31: 764 773.
    • (2003) Environ. Manage. , vol.31 , pp. 764-773
    • Coulston, J.W.1    Riitters, K.H.2
  • 21
    • 0030454356 scopus 로고    scopus 로고
    • Hierarchical decomposition of variance with applications in environmental mapping based on satellite images
    • Csillag, F. Kabos, S. 1996. Hierarchical decomposition of variance with applications in environmental mapping based on satellite images Math. Geol. 28: 385 405.
    • (1996) Math. Geol. , vol.28 , pp. 385-405
    • Csillag, F.1    Kabos, S.2
  • 22
    • 0022249579 scopus 로고
    • A kernel method for smoothing point process data
    • Diggle, P. 1985. A kernel method for smoothing point process data Appl. Stat. 34: 138 174.
    • (1985) Appl. Stat. , vol.34 , pp. 138-174
    • Diggle, P.1
  • 24
    • 0031954865 scopus 로고    scopus 로고
    • Threatened and endangered species geography
    • Flather, C. et al. 1998. Threatened and endangered species geography BioScience 48: 365 376.
    • (1998) BioScience , vol.48 , pp. 365-376
    • Flather, C.1
  • 25
    • 0036802628 scopus 로고    scopus 로고
    • Landscape-scale analysis of interactions between insect defoliation and forest fire in central Canada
    • Fleming, R. et al. 2002. Landscape-scale analysis of interactions between insect defoliation and forest fire in central Canada Clim. Change 55: 251 272.
    • (2002) Clim. Change , vol.55 , pp. 251-272
    • Fleming, R.1
  • 27
    • 0024900458 scopus 로고
    • Spatial autocorrelation and sampling design in plant ecology
    • Fortin, M. J. et al. 1989. Spatial autocorrelation and sampling design in plant ecology Plant Ecol. 83: 209 222.
    • (1989) Plant Ecol. , vol.83 , pp. 209-222
    • Fortin, M.J.1
  • 28
    • 53349116774 scopus 로고    scopus 로고
    • Spatial point pattern analysis in plants
    • in press. Reys, S. J. Anslein, L. Springer.
    • Franklin, J. in press. Spatial point pattern analysis in plants Reys, S. J. Anslein, L. Perspective on spatial data analysis. Springer.
    • Perspective on Spatial Data Analysis.
    • Franklin, J.1
  • 29
    • 0023518248 scopus 로고
    • Second-order neighborhood analysis of mapped point patterns
    • Franklin, J. Getis, A. 1987. Second-order neighborhood analysis of mapped point patterns Ecology 68: 473 477.
    • (1987) Ecology , vol.68 , pp. 473-477
    • Franklin, J.1    Getis, A.2
  • 30
    • 0006443414 scopus 로고
    • Scolytids (Coleoptera) on snowfields above timberline in Oregon and Washington. - Can
    • Furniss, M. M. Furniss, R. L. 1972. Scolytids (Coleoptera) on snowfields above timberline in Oregon and Washington. - Can Entomol. 104: 1471 1478.
    • (1972) Entomol. , vol.104 , pp. 1471-1478
    • Furniss, M.M.1    Furniss, R.L.2
  • 33
    • 84977363017 scopus 로고
    • The analysis of spatial association by use of distance statistics
    • Getis, A. Ord, J. 1992. The analysis of spatial association by use of distance statistics Geogr. Anal. 24: 189 206.
    • (1992) Geogr. Anal. , vol.24 , pp. 189-206
    • Getis, A.1    Ord, J.2
  • 36
    • 0028790233 scopus 로고
    • Non-parametric estimation of spatial variation in relative risk
    • Kelsall, J. E. Diggle, P. J. 1995. Non-parametric estimation of spatial variation in relative risk Stat. Med. 14: 2335 2342.
    • (1995) Stat. Med. , vol.14 , pp. 2335-2342
    • Kelsall, J.E.1    Diggle, P.J.2
  • 37
    • 0036779307 scopus 로고    scopus 로고
    • Integrating the statistical analysis of spatial data in ecology
    • Liebhold, A. M. Gurevitch, J. 2002. Integrating the statistical analysis of spatial data in ecology Ecography 25: 553 557.
    • (2002) Ecography , vol.25 , pp. 553-557
    • Liebhold, A.M.1    Gurevitch, J.2
  • 38
    • 33644770161 scopus 로고    scopus 로고
    • Evaluating local non-stationarity when considering the spatial variation of large-scale autocorrelation
    • Lin, S. Lu, Y. 2006. Evaluating local non-stationarity when considering the spatial variation of large-scale autocorrelation Trans. GIS 10: 301 318.
    • (2006) Trans. GIS , vol.10 , pp. 301-318
    • Lin, S.1    Lu, Y.2
  • 39
    • 0034708178 scopus 로고    scopus 로고
    • Biodiversity hotspots for conservation priorities
    • Myers, N. et al. 2000. Biodiversity hotspots for conservation priorities Nature 403: 853 858.
    • (2000) Nature , vol.403 , pp. 853-858
    • Myers, N.1
  • 40
    • 33644764135 scopus 로고    scopus 로고
    • Identifying insect infestation hot spots: An approach using conditional spatial randomization
    • Nelson, T. Boots, B. 2005. Identifying insect infestation hot spots: an approach using conditional spatial randomization J. Geogr. Syst. 7: 291 311.
    • (2005) J. Geogr. Syst. , vol.7 , pp. 291-311
    • Nelson, T.1    Boots, B.2
  • 41
    • 33645657836 scopus 로고    scopus 로고
    • Large-area mountain pine beetle infestations: Spatial data representation and accuracy
    • Nelson, T. et al. 2006. Large-area mountain pine beetle infestations: spatial data representation and accuracy For. Chron. 82: 243 252.
    • (2006) For. Chron. , vol.82 , pp. 243-252
    • Nelson, T.1
  • 42
    • 53349163469 scopus 로고    scopus 로고
    • Environmental characteristics of mountain pine beetle infestation hot spots
    • Nelson, T. A. et al. 2007. Environmental characteristics of mountain pine beetle infestation hot spots B.C. J. Ecosyst. Manage. 8: 91 108.
    • (2007) B.C. J. Ecosyst. Manage. , vol.8 , pp. 91-108
    • Nelson, T.A.1
  • 44
    • 0029514351 scopus 로고
    • Local spatial autocorrelation statistics: Distributional issues and an application
    • Ord, J. K. Getis, A. 1995. Local spatial autocorrelation statistics: distributional issues and an application Geogr. Anal. 27: 286 306.
    • (1995) Geogr. Anal. , vol.27 , pp. 286-306
    • Ord, J.K.1    Getis, A.2
  • 45
    • 0035740890 scopus 로고    scopus 로고
    • Testing for local spatial autocorrelation in the presence of global autocorrelation
    • Ord, J. K. Getis, A. 2001. Testing for local spatial autocorrelation in the presence of global autocorrelation J. Reg. Sci. 41: 411 432.
    • (2001) J. Reg. Sci. , vol.41 , pp. 411-432
    • Ord, J.K.1    Getis, A.2
  • 46
    • 4043143586 scopus 로고    scopus 로고
    • Winter habitat selection by deer on Anticosti Island 2: Relationship between deer density from an aerial survey and the proportion of balsam fir on forest vegetation maps
    • Potvin, F. Boots, B. 2004. Winter habitat selection by deer on Anticosti Island 2: relationship between deer density from an aerial survey and the proportion of balsam fir on forest vegetation maps Can. J. Zool. 82: 671 676.
    • (2004) Can. J. Zool. , vol.82 , pp. 671-676
    • Potvin, F.1    Boots, B.2
  • 47
    • 0027871079 scopus 로고
    • Correcting for variation in recording effort in analyses of diversity hotspots
    • Prendergast, J. R. et al. 1993. Correcting for variation in recording effort in analyses of diversity hotspots Biodivers. Lett. 1: 39 53.
    • (1993) Biodivers. Lett. , vol.1 , pp. 39-53
    • Prendergast, J.R.1
  • 48
    • 0003116602 scopus 로고    scopus 로고
    • Hotbeds of crime and the search for spatial accuracy
    • Ratcliffe, J. H. McCullagh, M. J. 1999. Hotbeds of crime and the search for spatial accuracy J. Geogr. Syst. 1: 385 398.
    • (1999) J. Geogr. Syst. , vol.1 , pp. 385-398
    • Ratcliffe, J.H.1    McCullagh, M.J.2
  • 49
    • 21244474878 scopus 로고    scopus 로고
    • Hot spots of perforated forest in the eastern United States
    • Riitters, K. H. Coulston, J. W. 2005. Hot spots of perforated forest in the eastern United States Environ. Manage. 35: 483 492.
    • (2005) Environ. Manage. , vol.35 , pp. 483-492
    • Riitters, K.H.1    Coulston, J.W.2
  • 50
    • 0034897670 scopus 로고    scopus 로고
    • A statistical method for the detection of geographic clustering
    • Rogerson, P. 2001. A statistical method for the detection of geographic clustering Geogr. Anal. 33: 215 227.
    • (2001) Geogr. Anal. , vol.33 , pp. 215-227
    • Rogerson, P.1
  • 54
    • 27844504051 scopus 로고    scopus 로고
    • Local spatial modeling of white-tailed deer distribution
    • Shi, H. et al. 2006. Local spatial modeling of white-tailed deer distribution Ecol. Model. 190: 171 189.
    • (2006) Ecol. Model. , vol.190 , pp. 171-189
    • Shi, H.1
  • 57
    • 0032465662 scopus 로고    scopus 로고
    • Local spatial autocorrelation in a biological model
    • Sokal, R. R. et al. 1998. Local spatial autocorrelation in a biological model Geogr. Anal. 30: 331 354.
    • (1998) Geogr. Anal. , vol.30 , pp. 331-354
    • Sokal, R.R.1
  • 58
    • 0034946913 scopus 로고    scopus 로고
    • Predation on livestock by an expanding reintroduced lynx population: Long-term trend and spatial variability
    • Stahl, P. et al. 2001. Predation on livestock by an expanding reintroduced lynx population: long-term trend and spatial variability J. Appl. Ecol. 38: 674 687.
    • (2001) J. Appl. Ecol. , vol.38 , pp. 674-687
    • Stahl, P.1
  • 59
    • 32544446279 scopus 로고    scopus 로고
    • Species richness and patterns of invasion in plants, birds, and fishes in the United States
    • Stohlgren, T. J. et al. 2006. Species richness and patterns of invasion in plants, birds, and fishes in the United States Biol. Invasions 8: 427 447.
    • (2006) Biol. Invasions , vol.8 , pp. 427-447
    • Stohlgren, T.J.1
  • 60
    • 0000671217 scopus 로고
    • Computation of the correspondence of geographical patterns
    • Tobler, W. 1965. Computation of the correspondence of geographical patterns Pap. Reg. Sci. Assoc. 15: 131 139.
    • (1965) Pap. Reg. Sci. Assoc. , vol.15 , pp. 131-139
    • Tobler, W.1
  • 63
    • 32444441114 scopus 로고    scopus 로고
    • Persistence of invading gypsy moth populations in the United States
    • Whitmire, S. L. Tobin, P. C. 2006. Persistence of invading gypsy moth populations in the United States Oecologia 147: 230 237.
    • (2006) Oecologia , vol.147 , pp. 230-237
    • Whitmire, S.L.1    Tobin, P.C.2
  • 64
    • 0029415971 scopus 로고
    • A convex hull-based estimator of home-range size
    • Worton, B. J. 1995. A convex hull-based estimator of home-range size Biometrics 51: 1205 1215.
    • (1995) Biometrics , vol.51 , pp. 1205-1215
    • Worton, B.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.