Methods for the visualization of clustered climate data
type: Item
instance of: scholarly article
title: Methods for the visualization of clustered climate data
zbMATH Open document ID: 1077.62541
DOI: 10.1007/BF02915277
author: Thomas Nocke
author: Heidrun Schumann
author: Uwe Böhm
published in: Computational Statistics
publication date: 2004-11-24T00:00:00Z
review text: The authors discuss different visualization techniques for the results of clusterization. Meteorological data from Germany and Brazil are considered in the examples. OpenDX visualization software is used for the implementation. Rectangular View and modified Theme River plots, different spatial representations, interactively linked scatterplots and parallel coordinate views are described. Special attention is paid to the efficient cluster color coding.
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 86A10
Mathematics Subject Classification ID: 62A09
zbMATH DE Number: 2118527
zbMATH Keywords: OpenDX
zbMATH Keywords: Rectangular View
zbMATH Keywords: Theme River
zbMATH Keywords: parallel coordinate view
describes a project that uses: OpenDX
describes a project that uses: ThemeRiver
MaRDI profile type: Publication
cites work: Automatische Klassifikation
full work available at URL: https://doi.org/10.1007/bf02915277
OpenAlex ID: W2006206295
description: scientific article; zbMATH DE number 2118527