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Volumn 9, Issue , 2012, Pages 897-906

Climate classifications: The value of unsupervised clustering

Author keywords

Clustering; K means; K ppen Geiger climate classification; Multivariate statistics; PCA

Indexed keywords


EID: 84875844173     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2012.04.096     Document Type: Conference Paper
Times cited : (66)

References (20)
  • 1
    • 0000375036 scopus 로고
    • Versuch einer Klassifikation der Klimate, vorzugsweise nach ihren Beziehungen zur Pflanzenwelt
    • 657-679
    • W. Köppen, Versuch einer Klassifikation der Klimate, vorzugsweise nach ihren Beziehungen zur Pflanzenwelt, Geogr. Zeitschr. 6 (1900) 593-611, 657-679.
    • (1900) Geogr. Zeitschr. , vol.6 , pp. 593-611
    • Köppen, W.1
  • 3
    • 85030959456 scopus 로고    scopus 로고
    • R. Geiger, Überarbeitete Neuausgabe von Geiger, R.: Köppen-Geiger / Klima der Erde. (Wandkarte 1:16 Mill.), Klett-Perthes, Gotha, 1961
    • R. Geiger, Überarbeitete Neuausgabe von Geiger, R.: Köppen-Geiger / Klima der Erde. (Wandkarte 1:16 Mill.), Klett-Perthes, Gotha, 1961.
  • 5
    • 4043181210 scopus 로고
    • Problems in the classification of climates
    • C. Thornthwaite, Problems in the classification of climates, Geographical Review 33 (2) (1943) 233-255.
    • (1943) Geographical Review , vol.33 , Issue.2 , pp. 233-255
    • Thornthwaite, C.1
  • 6
    • 84860777873 scopus 로고    scopus 로고
    • Köppen versus the computer: An objective comparison between the köppen-geiger climate classification and a multivariate regression tree
    • A. J. Cannon, Köppen versus the computer: an objective comparison between the Köppen-Geiger climate classification and a multivariate regression tree, Hydrology and Earth System Sciences Discussions 8 (2) (2011) 2345-2372.
    • (2011) Hydrology and Earth System Sciences Discussions , vol.8 , Issue.2 , pp. 2345-2372
    • Cannon, A.J.1
  • 10
    • 33947156744 scopus 로고    scopus 로고
    • Comparing clusterings - An information based distance
    • M. Meilǎ, Comparing clusterings - an information based distance, Journal of Multivariate Analysis 98 (5) (2007) 873-895.
    • (2007) Journal of Multivariate Analysis , vol.98 , Issue.5 , pp. 873-895
    • Meilǎ, M.1
  • 12
    • 0036846393 scopus 로고    scopus 로고
    • Overview of the radiometric and biophysical performance of the MODIS vegetation indices
    • A. Huete, K. Didan, T. Miura, E. Rodriguez, X. Gao, L. Ferreira, Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment 83 (1-2) (2002) 195-213.
    • (2002) Remote Sensing of Environment , vol.83 , Issue.1-2 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3    Rodriguez, E.4    Gao, X.5    Ferreira, L.6
  • 13
    • 0034482939 scopus 로고    scopus 로고
    • Optical-biophysical relationships of vegetation spectra without background contamination
    • X. Gao, A. Huete, W. Ni, T. Miura, Optical-biophysical relationships of vegetation spectra without background contamination, Remote Sensing of Environment 74 (3) (2000) 609-620.
    • (2000) Remote Sensing of Environment , vol.74 , Issue.3 , pp. 609-620
    • Gao, X.1    Huete, A.2    Ni, W.3    Miura, T.4
  • 14
    • 80052534797 scopus 로고    scopus 로고
    • Others, global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations
    • M. Jung, M. Reichstein, H. Margolis, A. Cescatti, A. Richardson, M. Arain, A. Arneth, C. Bernhofer, D. Bonal, J. Chen, Others, Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, J. Geophys. Res 116 (2011) G00J07.
    • (2011) J. Geophys. Res , vol.116
    • Jung, M.1    Reichstein, M.2    Margolis, H.3    Cescatti, A.4    Richardson, A.5    Arain, M.6    Arneth, A.7    Bernhofer, C.8    Bonal, D.9    Chen, J.10
  • 15
    • 84873592138 scopus 로고    scopus 로고
    • P. Gehler, Mpikmeans, http://mloss.org/software/view/48/(2007).
    • (2007) Mpikmeans
    • Gehler, P.1
  • 17
    • 0036399517 scopus 로고    scopus 로고
    • Reducing the computation time of the isodata and K-means unsupervised classification algorithms
    • S. Phillips, Reducing the computation time of the Isodata and K-means unsupervised classification algorithms, Geoscience and Remote Sensing Symposium (IGARS 2002) 3 (2002) 1627-1629.
    • (2002) Geoscience and Remote Sensing Symposium (IGARS 2002) , vol.3 , pp. 1627-1629
    • Phillips, S.1
  • 19
    • 79958256828 scopus 로고    scopus 로고
    • Parallel k-means clustering for quantitative ecoregion delineation using large data sets
    • J. Kumar, R. T. Mills, F. M. Hoffman, W. W. Hargrove, Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets, Procedia Computer Science 4 (2011) 1602-1611.
    • (2011) Procedia Computer Science , vol.4 , pp. 1602-1611
    • Kumar, J.1    Mills, R.T.2    Hoffman, F.M.3    Hargrove, W.W.4
  • 20
    • 77951840646 scopus 로고    scopus 로고
    • Clustering stability: An overview
    • U. von Luxburg, Clustering stability: An overview, Found. Trends Mach. Learn. 2 (3) (2010) 235-274.
    • (2010) Found. Trends Mach. Learn. , vol.2 , Issue.3 , pp. 235-274
    • Von Luxburg, U.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.