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Spatial Entropy and Landscape Analysis
Details
This is the first book on spatial entropy in the scientific literature. It links spatial entropy with landscape analysis, landscape diversity and geo-information. It gives all the essential tools that a researcher needs in order to study the spatial entropy of physical as well as artificial landscapes (created with artificial life, swarm intelligence etc). This book explores the fascinating world of the interplay between spatial entropy, spatial information, self-organization and emergence and gives geographers and landscape scientists several alternative mathematical methods to study them, i.e. Shannon's formula, measures from non-extensive thermodynamics, from directional statistics and network theory. An essential book for researchers in landscape analysis and geo-informatics.
Explores the concept and applications of spatial entropy Links thermodynamics and spatial entropy with landscape analysis Shows how spatial entropy methods apply to both natural and artificial landscapes
Autorentext
Dr. Dr. Fivos Papadimitriou is at the University of Tübingen and he is the author of "Spatial Complexity: Theory, Mathematical Methods and Applications" (Springer).
Inhalt
Spatial Entropy , Geo-Information and Spatial Surprise.- Computing the Spatial Entropy of Square Binary Maps.- Spatial Entropy of Directional Geographical Data and Landscape Networks.- Spatial Entropy of Landscapes Simulated with Artificial Life and Swarm Intelligence.- Spatial Negentropy and Social Self-Organization in Simulated Landscapes.- Visual Perception of Spatial Entropy and Landscape Analysis.- Spatial Entropy, Non-Extensive Thermodynamics and Landscape Change.- Emergence, Sustainability and Cyber-Physical Landscapes.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber Springer Fachmedien Wiesbaden
- Gewicht 281g
- Untertitel RaumFragen: Stadt - Region - Landschaft
- Autor Fivos Papadimitriou
- Titel Spatial Entropy and Landscape Analysis
- Veröffentlichung 04.02.2022
- ISBN 3658355956
- Format Kartonierter Einband
- EAN 9783658355951
- Jahr 2022
- Größe H240mm x B168mm x T9mm
- Anzahl Seiten 160
- Lesemotiv Verstehen
- Auflage 1st edition 2022
- GTIN 09783658355951