Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14437
Title: Multivariate variogram and madogram: Tools for quantifying diversity/dissimilarity in spatiotemporal data
Authors: Kyriakidis, Phaedon 
Kavroudakis, Dimitris 
Kitsiou, Dimitra 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: AVHRR;Chlorophyll-a;Multivariate Geary/Gini index;Sea surface temperature;SeaWiFS
Issue Date: 1-Jan-2014
Source: 15th Annual Conference of the International Association for Mathematical Geosciences - Frontiers of Mathematical Geosciences: New Approaches to Understand the Natural World, IAMG 2013, Madrid, Spain, 2 September 2013 through 6 September 2013
Conference: Annual Conference of the International Association for Mathematical Geosciences - Frontiers of Mathematical Geosciences: New Approaches to Understand the Natural World 
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).
Description: 15th Annual Conference of the International Association for Mathematical Geosciences - Frontiers of Mathematical Geosciences: New Approaches to Understand the Natural World, IAMG 2013
DOI: 10.1007/978-3-642-32408-6_54
Type: Conference Papers
Affiliation : University of Aegean 
University of California 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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