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    Potential Errors in the Application of Principal Component (Eigenvector) Analysis to Geophysical Data

    Source: Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 008::page 1183
    Author:
    Karl, Thomas R.
    ,
    Koscielny, Albert J.
    ,
    Diaz, Henry F.
    DOI: 10.1175/1520-0450(1982)021<1183:PEITAO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Principal component (PC) analysis performed on irregularly spaced data can produce distorted loading patterns. We provide an example to demonstrate some distorted patterns which can result from the direct application of PC analysis (or eigenvector analysis, factor analysis, or asymptotic singular decomposition) on irregularly spaced data. The PCs overestimate loadings in areas of dense data. The problem can be avoided by interpolating the irregularly spaced data to a grid which closely approximates equal-area.
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      Potential Errors in the Application of Principal Component (Eigenvector) Analysis to Geophysical Data

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4145431
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    contributor authorKarl, Thomas R.
    contributor authorKoscielny, Albert J.
    contributor authorDiaz, Henry F.
    date accessioned2017-06-09T13:58:57Z
    date available2017-06-09T13:58:57Z
    date copyright1982/08/01
    date issued1982
    identifier issn0021-8952
    identifier otherams-10326.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145431
    description abstractPrincipal component (PC) analysis performed on irregularly spaced data can produce distorted loading patterns. We provide an example to demonstrate some distorted patterns which can result from the direct application of PC analysis (or eigenvector analysis, factor analysis, or asymptotic singular decomposition) on irregularly spaced data. The PCs overestimate loadings in areas of dense data. The problem can be avoided by interpolating the irregularly spaced data to a grid which closely approximates equal-area.
    publisherAmerican Meteorological Society
    titlePotential Errors in the Application of Principal Component (Eigenvector) Analysis to Geophysical Data
    typeJournal Paper
    journal volume21
    journal issue8
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1982)021<1183:PEITAO>2.0.CO;2
    journal fristpage1183
    journal lastpage1186
    treeJournal of Applied Meteorology:;1982:;volume( 021 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian