메뉴 건너뛰기




Volumn 17, Issue 1, 2013, Pages 41-61

Support Vector Machine for Spatial Variation

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; NEAREST NEIGHBOR SEARCH; STUDENTS;

EID: 84873324748     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/j.1467-9671.2012.01354.x     Document Type: Article
Times cited : (23)

References (56)
  • 1
    • 0037358267 scopus 로고    scopus 로고
    • Accounting for spatial uncertainty in optimization with spatial decision support systems
    • Aerts J, Goodchild M F, and Heuvelink G M 2003 Accounting for spatial uncertainty in optimization with spatial decision support systems. Transactions in GIS 7: 211-230.
    • (2003) Transactions in GIS , vol.7 , pp. 211-230
    • Aerts, J.1    Goodchild, M.F.2    Heuvelink, G.M.3
  • 2
    • 85153201344 scopus 로고    scopus 로고
    • Metrics and Methods for Social Distance. Unpublished Ph.D. Dissertation, Massachusetts Institute of Technology
    • Andris C 2011 Metrics and Methods for Social Distance. Unpublished Ph.D. Dissertation, Massachusetts Institute of Technology.
    • (2011)
    • Andris, C.1
  • 3
    • 0029507498 scopus 로고
    • Local indicators of spatial autocorrelation: LISA
    • Anselin L 1995 Local indicators of spatial autocorrelation: LISA. Geographical Analysis 27: 93-115.
    • (1995) Geographical Analysis , vol.27 , pp. 93-115
    • Anselin, L.1
  • 4
    • 0036862865 scopus 로고    scopus 로고
    • Under the hood: Issues in the specification and interpretation of spatial regression models
    • Anselin L 2002 Under the hood: Issues in the specification and interpretation of spatial regression models. Agricultural Economics 27: 247-267.
    • (2002) Agricultural Economics , vol.27 , pp. 247-267
    • Anselin, L.1
  • 5
    • 33645929706 scopus 로고    scopus 로고
    • GeoDA: An introduction to spatial data analysis
    • Anselin L, Syabri I, and Kho Y 2006 GeoDA: An introduction to spatial data analysis. Geographical Analysis 38: 5-22.
    • (2006) Geographical Analysis , vol.38 , pp. 5-22
    • Anselin, L.1    Syabri, I.2    Kho, Y.3
  • 6
    • 0033346594 scopus 로고    scopus 로고
    • Linear discriminant analysis: A brief tutorial addendum to linear discriminant analysis for signal processing problems
    • Lexington, Kentucky:
    • Balakrishnama S and Ganapathiraju A 1999 Linear discriminant analysis: A brief tutorial addendum to linear discriminant analysis for signal processing problems. In Proceedings of the Southeastcon '99 Conference, Lexington, Kentucky: 78-81.
    • (1999) Proceedings of the Southeastcon '99 Conference , pp. 78-81
    • Balakrishnama, S.1    Ganapathiraju, A.2
  • 7
    • 0001907967 scopus 로고    scopus 로고
    • Support Vector Machines: Hype or hallelujah?
    • Bennett K and Campbell C 2002 Support Vector Machines: Hype or hallelujah? ACM SIGKKD Explorations 2: 1-13.
    • (2002) ACM SIGKKD Explorations , vol.2 , pp. 1-13
    • Bennett, K.1    Campbell, C.2
  • 10
    • 0030432956 scopus 로고    scopus 로고
    • Geographically weighted regression: A method for exploring spatial nonstationarity
    • Brunsdon C, Fotheringham A S, and Charlton M 1996 Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis 28: 281-298.
    • (1996) Geographical Analysis , vol.28 , pp. 281-298
    • Brunsdon, C.1    Fotheringham, A.S.2    Charlton, M.3
  • 12
    • 75449091232 scopus 로고    scopus 로고
    • Eigenplaces: Segmenting space through digital signatures
    • Calabrese F, Reades J, and Ratti C 2009 Eigenplaces: Segmenting space through digital signatures. IEEE Pervasive Computing 9: 78-84.
    • (2009) IEEE Pervasive Computing , vol.9 , pp. 78-84
    • Calabrese, F.1    Reades, J.2    Ratti, C.3
  • 14
    • 85153300934 scopus 로고    scopus 로고
    • College Board About the SAT. WWW document
    • College Board 2007 About the SAT. WWW document, http://www.collegeboard.com.
    • (2007)
  • 16
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C and Vapnik V 1995 Support-vector networks. Machine Learning 20: 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 17
    • 84995007807 scopus 로고
    • Statistics for spatial data
    • Cressie N 1992 Statistics for spatial data. Terra Nova 4: 613-617.
    • (1992) Terra Nova , vol.4 , pp. 613-617
    • Cressie, N.1
  • 18
    • 0032465020 scopus 로고    scopus 로고
    • The variance-based cross-variogram: You can add apples and oranges
    • Cressie N and Wikle C 1998 The variance-based cross-variogram: You can add apples and oranges. Mathematical Geology 30: 789-799.
    • (1998) Mathematical Geology , vol.30 , pp. 789-799
    • Cressie, N.1    Wikle, C.2
  • 20
    • 0002283033 scopus 로고    scopus 로고
    • From data mining to knowledge discovery in databases
    • Fayyad U, Piatetsky-Shapiro G, and Smyth P 1996 From data mining to knowledge discovery in databases. AI Magazine 17: 37-54.
    • (1996) AI Magazine , vol.17 , pp. 37-54
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 21
    • 0001474381 scopus 로고
    • The statistical utilization of multiple measurements
    • Fisher R A 1938 The statistical utilization of multiple measurements. Annals of Eugenics 8: 376-378.
    • (1938) Annals of Eugenics , vol.8 , pp. 376-378
    • Fisher, R.A.1
  • 22
    • 3142751254 scopus 로고    scopus 로고
    • Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna
    • Foody G 2004 Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna. Global Ecology and Biogeography 13: 315-320.
    • (2004) Global Ecology and Biogeography , vol.13 , pp. 315-320
    • Foody, G.1
  • 23
  • 25
    • 0000960565 scopus 로고
    • The contiguity ratio and statistical mapping
    • Geary R 1954 The contiguity ratio and statistical mapping. The Incorporated Statistician 5: 115-146.
    • (1954) The Incorporated Statistician , vol.5 , pp. 115-146
    • Geary, R.1
  • 26
    • 19944422137 scopus 로고    scopus 로고
    • Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach
    • Guo D, Gahegan M, MacEachren A, and Zhou B 2005 Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach. Cartography and Geographic Information Science 32: 113-132.
    • (2005) Cartography and Geographic Information Science , vol.32 , pp. 113-132
    • Guo, D.1    Gahegan, M.2    MacEachren, A.3    Zhou, B.4
  • 30
    • 7544244828 scopus 로고    scopus 로고
    • Advanced spatial data analysis and modelling with support vector machines
    • Kanevski M, Pozdnukhov A, Maignan M, and Canu S 2002 Advanced spatial data analysis and modelling with support vector machines. IDIAP Research Report 4: 606-616.
    • (2002) IDIAP Research Report , vol.4 , pp. 606-616
    • Kanevski, M.1    Pozdnukhov, A.2    Maignan, M.3    Canu, S.4
  • 32
    • 0242351905 scopus 로고    scopus 로고
    • Financial time series forecasting using support vector machines
    • Kim K 2003 Financial time series forecasting using support vector machines. Neurocomputing 55: 307-319.
    • (2003) Neurocomputing , vol.55 , pp. 307-319
    • Kim, K.1
  • 33
    • 0043054142 scopus 로고
    • Linear probability functions and discriminant functions
    • Ladd G 1966 Linear probability functions and discriminant functions. Econometrica 34: 873-885.
    • (1966) Econometrica , vol.34 , pp. 873-885
    • Ladd, G.1
  • 34
    • 0027881344 scopus 로고
    • Spatial autocorrelation: Problem or new paradigm?
    • Legendre P 1993 Spatial autocorrelation: Problem or new paradigm? Ecology 74: 1659-1673.
    • (1993) Ecology , vol.74 , pp. 1659-1673
    • Legendre, P.1
  • 35
    • 33646010615 scopus 로고    scopus 로고
    • A spatial entropy-based decision tree for classification of geographical information
    • Li X and Claramunt C 2006 A spatial entropy-based decision tree for classification of geographical information. Transactions in GIS 10: 451-467.
    • (2006) Transactions in GIS , vol.10 , pp. 451-467
    • Li, X.1    Claramunt, C.2
  • 38
    • 0031459752 scopus 로고    scopus 로고
    • Exploratory cartographic visualization: Advancing the agenda
    • MacEachren A and Kraak M-J 1997 Exploratory cartographic visualization: Advancing the agenda. Computers and Geosciences 23: 335-343.
    • (1997) Computers and Geosciences , vol.23 , pp. 335-343
    • MacEachren, A.1    Kraak, M.-J.2
  • 40
    • 85153216808 scopus 로고    scopus 로고
    • Applying GIS Technology to the Freshman Admissions Process at a Large University. Unpublished Report (available at)
    • Marble D 1997 Applying GIS Technology to the Freshman Admissions Process at a Large University. Unpublished Report (available at http://www.esri.com).
    • (1997)
    • Marble, D.1
  • 41
    • 27744497356 scopus 로고    scopus 로고
    • Mining association rules in spatio-temporal data: An analysis of urban socioeconomic and land cover change
    • Mennis J and Liu J W 2005 Mining association rules in spatio-temporal data: An analysis of urban socioeconomic and land cover change. Transactions in GIS 9: 5-17.
    • (2005) Transactions in GIS , vol.9 , pp. 5-17
    • Mennis, J.1    Liu, J.W.2
  • 44
    • 0012123288 scopus 로고
    • A test for the serial independence of residuals
    • Moran, P A P 1950 A test for the serial independence of residuals. Biometrika 37: 178-181.
    • (1950) Biometrika , vol.37 , pp. 178-181
    • Moran, P.A.P.1
  • 45
    • 33845703344 scopus 로고    scopus 로고
    • What is a support vector machine?
    • Noble W 2006 What is a support vector machine? Nature Biotechnology 24: 1566-1567.
    • (2006) Nature Biotechnology , vol.24 , pp. 1566-1567
    • Noble, W.1
  • 47
  • 50
    • 33745595610 scopus 로고    scopus 로고
    • The unequal variance t-test is an underused alternative to Student's t-test and the Mann-Whitney U test
    • Ruxton G R 2006 The unequal variance t-test is an underused alternative to Student's t-test and the Mann-Whitney U test. Behavioral Ecology 17: 688-690.
    • (2006) Behavioral Ecology , vol.17 , pp. 688-690
    • Ruxton, G.R.1
  • 53
    • 0036883693 scopus 로고    scopus 로고
    • GeoVISTA Studio: A codeless visual programming environment for geoscientific data analysis and visualization
    • Takatsuka M and Gahegan M 2002 GeoVISTA Studio: A codeless visual programming environment for geoscientific data analysis and visualization. Computers and Geosciences 28: 1131-1141.
    • (2002) Computers and Geosciences , vol.28 , pp. 1131-1141
    • Takatsuka, M.1    Gahegan, M.2
  • 55
    • 85153261312 scopus 로고    scopus 로고
    • The MathWorks, Inc. Natick, MA, The MathWorks, Inc. (available at)
    • The MathWorks, Inc. 2003-2011 Bioinformatics Toolbox User's Guide. Natick, MA, The MathWorks, Inc. (available at http://www.mathworks.com/help/pdf_doc/bioinfo/bioinfo_ug.pdf).
    • (2003) Bioinformatics Toolbox User's Guide
  • 56
    • 0001793787 scopus 로고
    • We need both exploratory and confirmatory
    • Tukey J 1980 We need both exploratory and confirmatory. The American Statistician 34: 23-25.
    • (1980) The American Statistician , vol.34 , pp. 23-25
    • Tukey, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.