Algorithmic Foundations of Geographic Information Systems

Marc Van Kreveld

ISBN 10: 3540638180 / ISBN 13: 9783540638186

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 1997, 1997

About this Item

Neuware -This tutorial survey brings together two lines of research and development whose interaction promises to have significant practical impact on the area of spatial information processing in the near future: geographic information systems (GIS) and geometric computation or, more particularly, geometric algorithms and spatial data structures. In nine uniformly structured and coherent chapters, the authors present a unique survey ranging from the history and basic characteristics to current issues of precision and robustness of geometric computing. This textbook is ideally suited for advanced courses on GIS and applied geometric algorithms. Research and design professionals active in the area will find it valuable as a state-of-the-art survey.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.

Seller Inventory # 9783540638186

Bibliographic Details

• Title: Algorithmic Foundations of Geographic Information Systems
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 1997
• Publication Date: 1997
• Language: English
• ISBN 10: 3540638180
• ISBN 13: 9783540638186
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 470 grams

About this title

Synopsis

This tutorial survey brings together two lines of research and development whose interaction promises to have significant practical impact on the area of spatial information processing in the near future: geographic information systems (GIS) and geometric computation or, more particularly, geometric algorithms and spatial data structures. In nine uniformly structured and coherent chapters, the authors present a unique survey ranging from the history and basic characteristics to current issues of precision and robustness of geometric computing. This textbook is ideally suited for advanced courses on GIS and applied geometric algorithms. Research and design professionals active in the area will find it valuable as a state-of-the-art survey.