Title: Time-Integrative Geographic Information Systems: Management and Analysis of Spatio-Temporal Data
Publisher: Springer
Publication Date: 2001
Language: English
ISBN 10: 3540410163
ISBN 13: 9783540410164
Binding: Hardcover
Condition: New

About this title

Synopsis

This book is the provisional result of more than 10 years of continued discussion with friends and colleagues from neighbouring disciplines. Although only a small minority ofthe millions of GIS users on this planet are geographers, it seems that somehow, geographers are a kind ofnatural contact persons for historians, archae- ologists, economists, social scientists or others who are looking for appropriate ways ofworking with spatial data. We received constant encouragements and many valuable suggestions from our colleagues. Particularly we wish to thank the members ofthe GIS Study Group of the German Association of Geography (AK GIS) as well as the participants of a workshop in June 2000 on "Mapping Europe's historic boundaries and borders" which was generously sponsored by the European Science Foundation. Among the individuals we owe special appreciation are Humphrey Southall and Ian Gregory (The Great Britain Historical GIS Programme, University ofPortsmouth), Michael Goerke (European University Institute, Florence), Konrad Pierau (Center for His- torical Social Research, University of Cologne), Bernhard Holfter (Forderverein Historische Grundkarte, Leipzig) and Stephan Riediger (Department of History, University of Mannheim).

From the Back Cover

The book deals with the integration of temporal information in Geographic Information Systems. The main purpose of an historical or time-integrative GIS is to reproduce spatio- temporal processes or sequents of events in the real world in the form of a model. The model thus making them accessible for spatial query, analysis and visualization. This volume reflects both theoretical thoughts on the interrelations of space and time, as well as practical examples taken from various fields of application (e.g. business data warehousing, demographics, history and spatial analysis).

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