| contributor author | Karl, Thomas R. | |
| contributor author | Koscielny, Albert J. | |
| contributor author | Diaz, Henry F. | |
| date accessioned | 2017-06-09T13:58:57Z | |
| date available | 2017-06-09T13:58:57Z | |
| date copyright | 1982/08/01 | |
| date issued | 1982 | |
| identifier issn | 0021-8952 | |
| identifier other | ams-10326.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4145431 | |
| description 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. | |
| publisher | American Meteorological Society | |
| title | Potential Errors in the Application of Principal Component (Eigenvector) Analysis to Geophysical Data | |
| type | Journal Paper | |
| journal volume | 21 | |
| journal issue | 8 | |
| journal title | Journal of Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1982)021<1183:PEITAO>2.0.CO;2 | |
| journal fristpage | 1183 | |
| journal lastpage | 1186 | |
| tree | Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 008 | |
| contenttype | Fulltext | |
