Multivariate variogram and madogram: Tools for quantifying diversity/dissimilarity in spatiotemporal data
Date Issued
January 1, 2014
DOI
10.1007/978-3-642-32408-6_54
Abstract
Global and local (site specific) multivariate variogram and madogram measures of attribute spatial (dis)similarity are linked to multivariate extension of Geary's and Gini's indices of spatial association. These measures are then em ployed for elucidating spatiotemporal patterns in monthly sea surface temperatur and chlorophyll - a concentration data over the North Aegean Sea in Greece, derived respectively, from NOAA's Advanced Very High Resolution Radiometer (AVHRR sensor and NASA's Sea-Viewing Wide Field-of-view Sensor (SeaWiFS).