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Statistical data exploration and geographical information visualization

  • This chapter focuses on the analysis of the data of a geographical referenced data set and the integration of these analyses within the geographical context. The geographical reference is the dominant aspect of geographical data; these data can draw upon statistical principles and methodologies to be investigated thoroughly. Exploratory data analysis (EDA) has been widely adopted by many disciplines beyond statistics. For these methods to be applied appropriately, the statistical background of EDA should be considered and drawn upon. Much of statistical data analysis has its roots in mathematics, whereas most of geovisualization draws directly from cartography. Currently, both fields make heavy use of computing power and computer graphics and take advantage of highly interactive interfaces. Several software packages have been developed to either incorporate geographical information into interactive statistical software, or vice versa to incorporate statistical graphics intoThis chapter focuses on the analysis of the data of a geographical referenced data set and the integration of these analyses within the geographical context. The geographical reference is the dominant aspect of geographical data; these data can draw upon statistical principles and methodologies to be investigated thoroughly. Exploratory data analysis (EDA) has been widely adopted by many disciplines beyond statistics. For these methods to be applied appropriately, the statistical background of EDA should be considered and drawn upon. Much of statistical data analysis has its roots in mathematics, whereas most of geovisualization draws directly from cartography. Currently, both fields make heavy use of computing power and computer graphics and take advantage of highly interactive interfaces. Several software packages have been developed to either incorporate geographical information into interactive statistical software, or vice versa to incorporate statistical graphics into Geographical Information Systems (GIS) and geovisualization environments. This chapter investigates the overlap and differences between the two areas and identifies a possible synergy between statisticians and geographers in the light of geovisualization.show moreshow less

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Metadaten
Author:Martin TheusGND
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/121306
ISBN:978-0-08-044531-1OPAC
Parent Title (English):Exploring geovisualization
Publisher:Pergamon
Place of publication:Oxford
Editor:Jason Dykes, Alan M. MacEachren, Menno-Jan Kraak
Type:Part of a Book
Language:English
Year of first Publication:2005
Publishing Institution:Universität Augsburg
Release Date:2025/04/09
First Page:127
Last Page:142
Series:International Cartographic Association
DOI:https://doi.org/10.1016/b978-008044531-1/50424-3
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Rechnerorientierte Statistik und Datenanalyse
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik