Fuzzy Surfaces in GIS and Geographical Analysis | Theory, Analytical Methods, Algorithms and Applications

Weldon Lodwick

ISBN 10: 0849363950 / ISBN 13: 9780849363955

Published by CRC Press, 2007

About this Item

Fuzzy Surfaces in GIS and Geographical Analysis | Theory, Analytical Methods, Algorithms and Applications | Weldon Lodwick | Buch | Einband - fest (Hardcover) | Englisch | 2007 | CRC Press | EAN 9780849363955 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 133289115

Bibliographic Details

• Title: Fuzzy Surfaces in GIS and Geographical Analysis | Theory, Analytical Methods, Algorithms and Applications
• Publisher: CRC Press
• Publication Date: 2007
• Language: English
• ISBN 10: 0849363950
• ISBN 13: 9780849363955
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 19D millimeters 234 millimeters width by 156 millimeters height by 19 millimeters depth
• Weight: 476 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Surfaces are a central to geographical analysis. Their generation and manipulation are a key component of geographical information systems (GISs). However, geographical surface data is often not precise. When surfaces are used to model geographical entities, the data inherently contains uncertainty in terms of both position and attribute. Fuzzy Surface in GIS and Geographical Analysis sets out a process to identify the uncertainty in geographic entities. It describes how to successfully obtain, model, analyze, and display data, as well as interpret results within the context of GIS.

Focusing on uncertainty that arises from transitional boundaries, the book limits its study to three types of uncertainties: intervals, fuzzy sets, and possibility distributions. The book explains that uncertainty in geographical data typically stems from these three and it is only natural to incorporate them into the analysis and display of surface data. The book defines the mathematics associated with each method for analysis, then develops related algorithms, and moves on to illustrate various applications.

Fuzzy Surface in GIS and Geographical Analysis clearly defines how to develop a routine that will adequately account for the uncertainties inherent in surface data.

About the Author

Weldon Lodwick