This paper describes maximum autocorrelation factor (MAF) analysis, maximum autocorrelation factorial kriging, and its application to irregularly sampled stream sediment geochemical data from South Greenland. Kriged MAF images are compared with kriged images of varimax rotated factors from an ordinary non-spatial factor analysis, and they are interpreted in a geological context. It is demonstrated that MAF analysis contrary to ordinary non-spatial factor analysis gives an objective discrimination of largescale as well as small-scale geological features which are related to crustal structure and the occurrence of specific rock types.
|Title of host publication||Proceedings of the 6th International Geostatistics Congress, Geostats 2000|
|Publication status||Published - 2000|
|Event||Proceedings of the 6th International Geostatistics Congress, Geostats 2000 - |
Duration: 1 Jan 2000 → …
|Conference||Proceedings of the 6th International Geostatistics Congress, Geostats 2000|
|Period||01/01/2000 → …|