Fuzzy Surfaces in GIS and Geographical Analysis
The book "Fuzzy Surfaces in GIS and Geographical Analysis" explores the use of fuzzy logic and fuzzy set theory in geographical analysis and GIS. The book is divided into nine chapters and covers topics such as interpolation with data containing interval, fuzzy, and possibilistic uncertainty, surface modeling, visualization and analysis on surfaces, and algorithms.
Chapter 1 serves as an introduction to the book, providing an overview of the topics covered and the goals of the book. Chapter 2, written by Marcello Anile and Salvatore Spinella, focuses on interpolation techniques using fuzzy logic to handle uncertain data. The authors explore different fuzzy interpolation methods and discuss their applications.
Chapter 3, written by Cidalia Fonte, Jorge Santos, and Gil Goncalves, provides an introduction to GIS and explains the basics of spatial data management. The chapter covers topics such as data formats, projections, and spatial queries.
Chapter 4, written by Cidalia Fonte, discusses the representation of geographical entities as surfaces. The chapter explores different surface modeling techniques and discusses their advantages and disadvantages.
Chapter 5, written by Jorge Santos, focuses on surface modeling techniques, including raster and vector data models. The author provides an overview of different algorithms used in surface modeling and discusses their applications.
Chapter 6, written by Giovanni Gallo, explores visualization and analysis techniques for surfaces. The author discusses different visualization techniques, including contour plots and 3D visualization.
Chapter 7, written by Cidalia Fonte, Jorge Santos, Gil Goncalves, Salvatore Spinella, and Marcelo Anile, presents several case studies and applications of fuzzy surfaces in GIS and geographical analysis. The authors discuss the application of fuzzy surfaces in areas such as soil erosion modeling, land-use planning, and natural resource management.
Chapter 8, written by Cidalia Fonte, Jorge Santos, and Salvatore Spinella, presents pseudo code for different algorithms used in fuzzy surface modeling. The authors provide detailed descriptions of each algorithm and their implementation.
Chapter 9, written by Salvatore Spinella, provides an appendix on fuzzy arithmetic and fuzzy query C++ source code. The author provides an overview of fuzzy set theory and its applications in GIS and geographical analysis.
Overall, "Fuzzy Surfaces in GIS and Geographical Analysis" is a comprehensive guide to using fuzzy logic and fuzzy set theory in GIS and geographical analysis. The book provides a detailed explanation of different techniques and their applications, making it a valuable resource for researchers and practitioners in the field.