Overview
- Presents contributions from leading academics in the fields of spatial sciences, environmental studies, geography, cartography, GIS, urban planning, architecture, with a focus in investigations of settlements and infrastructure
- Multidisciplinary approach to studying recent developments in spatial analysis and modelling which contributes to a better understanding of built-up areas, sustainable resource management, planning and regional development, and spatial information knowledge
- Cooperation between the disciplines spatial planning, geography and computer science is useful for the complementary linkage of data and methods in the context of supporting spatial planning relevant impulses
Part of the book series: Geotechnologies and the Environment (GEOTECH, volume 19)
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Table of contents (11 chapters)
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Front Matter
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Towards a Better Understanding of Settlements and Infrastructure
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Front Matter
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Spatial Modelling, System Dynamics and Geosimulation
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Front Matter
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Multi-scale Representation and Analysis
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Front Matter
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Back Matter
Keywords
About this book
The book is valuable to those with a scholarly interest in spatial sciences, urban and spatial planning, as well as anyone interested in spatial analysis and the planning of human settlements and infrastructure.
Most of the selected papers were originally presented at the “International Land Use Symposium (ILUS 2015): Trends in Spatial Analysis and Modelling of Settlements and Infrastructure” November 11-13 2015, in Dresden, Germany.
Editors and Affiliations
About the editors
Martin Behnisch received his diploma and doctoral degrees at the Department of Architecture, Karlsruhe Institute of Technology. He also received a degree in Wood Processing Technologies (University of Cooperative Education, Dresden, Germany) and a master’s degree in Geographical Information Science (University of Salzburg, Austria) with distinction. He worked in Switzerland as a post-doctoral researcher (2007-2011) at the Institute of Historic Building Research (ETH Zurich). He is currently a senior scientist at the Leibniz Institute of Ecological Urban and Regional Development. His research interests are in spatial analysis and modeling, urban data mining, spatial monitoring, land use science as well as building stock research. He has published numerous refereed articles in international journals, scientific books and conference proceedings in his discipline.
Dr. Gotthard Meinel is specialist in the field of monitoring of land use development. His research interests are indicator development, automated spatial analysis of large datasets and visualization technologies. Since 1992 he has been acting as a project leader in the field of informatics, GIS and remote sensing at Leibniz Institute of Ecological Urban and Regional Development (IOER). Since 2009 he has been head of the research area “Monitoring of settlement and open space development” at IOER in Dresden. He received an M.S. in Information Technology in 1981 and a Ph.D. degree in Image Processing at Dresden University of Technology in 1987. Later he was a postdoctoral researcher in biomathematics and technical mathematics. He has published more than 100 research articles in international journals and refereed conference proceedings.
Bibliographic Information
Book Title: Trends in Spatial Analysis and Modelling
Book Subtitle: Decision-Support and Planning Strategies
Editors: Martin Behnisch, Gotthard Meinel
Series Title: Geotechnologies and the Environment
DOI: https://doi.org/10.1007/978-3-319-52522-8
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-52520-4Published: 09 November 2017
Softcover ISBN: 978-3-319-84923-2Published: 05 September 2018
eBook ISBN: 978-3-319-52522-8Published: 24 October 2017
Series ISSN: 2365-0575
Series E-ISSN: 2365-0583
Edition Number: 1
Number of Pages: XIII, 214
Number of Illustrations: 30 b/w illustrations, 46 illustrations in colour
Topics: Geographical Information Systems/Cartography, Landscape/Regional and Urban Planning, Data Mining and Knowledge Discovery