Fuzzy Surfaces in Gis and Geographical Analysis
Theory, Analytical Methods, Algorithms and Applications
By Weldon Lodwick
"Fuzzy Surfaces in Gis and Geographical Analysis" is published by Taylor & Francis Group in 2019 - Boca Raton ; London ; New York, it has 184 pages and the language of the book is English.
“Fuzzy Surfaces in Gis and Geographical Analysis” Metadata:
- Title: ➤ Fuzzy Surfaces in Gis and Geographical Analysis
- Author: Weldon Lodwick
- Language: English
- Number of Pages: 184
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2019
- Publish Location: Boca Raton ; London ; New York
“Fuzzy Surfaces in Gis and Geographical Analysis” Subjects and Themes:
- Subjects: ➤ Phosphates - Geographic information systems - Mathematics - Fuzzy mathematics - Surfaces - Geographic Information Systems - Fuzzy Logic - Systèmes d'information géographique - Mathématiques - Mathématiques floues - Surfaces (Mathématiques) - Applied mathematics - TECHNOLOGY & ENGINEERING - Cartography - SCIENCE - Earth Sciences - Geography - Fuzzy-Logik - Geoinformationssystem - Geografiska informationssystem - Matematiska modeller - Geodesi
Edition Specifications:
- Weight: 0.752
Edition Identifiers:
- Google Books ID: fL7SxgEACAAJ
- The Open Library ID: OL33775947M - OL9670405W
- ISBN-13: 9780367387990 - 9780849363955
- ISBN-10: 0367387999
- All ISBNs: 9780367387990 - 0367387999 - 9780849363955
AI-generated Review of “Fuzzy Surfaces in Gis and Geographical Analysis”:
Snippets and Summary:
This book 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.
"Fuzzy Surfaces in Gis and Geographical Analysis" Description:
Google Books:
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.
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