Trends in Spatial Analysis and Modelling

Part I. Towards a Better Understanding of Settlements and Infrastructure

1. Reverse Engineering of Land Cover Data: Machine Learning for Data Replication in the Spatial and Temporal Domains
Galen Maclaurin, Stefan Leyk

2. Geospatial Analysis Requires a Different Way of Thinking: The Problem of Spatial Heterogeneity
Bin Jiang

Part II. Geographic Data Mining

3. A Survey on Spatiotemporal and Semantic Data Mining
Quan Yuan, Chao Zhang, Jiawei Han

4. Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon
Fernando José Ferreira Lucas Bação, Roberto Henriques, Jorge Antunes

5. The Application of the SPAWNN Toolkit to the Socioeconomic Analysis of Chicago, Illinois
Julian Hagenauer, Marco Helbich

Part III. Spatial Modelling, System Dynamics and Geosimulation

6. The Evolution of the Land Development Industry: An Agent-Based Simulation Model
Jonatan Almagor, Itzhak Benenson, Daniel Czamanski

7. Dynamic Relationships Between Human Decision Making and Socio-natural Systems
Andreas Koch

8. Lessons and Challenges in Land Change Modeling Derived from Synthesis of Cross-Case Comparisons
Robert Gilmore Pontius, Jean-Christophe Castella, Ton Nijs, Zengqiang Duan, Eric Fotsing, Noah Goldstein, Kasper Kok, Eric Koomen, Christopher D. Lippitt, William McConnell, Alias Mohd Sood, Bryan Pijanowski, Peter Verburg, A. Tom Veldkamp

Part IV. Multi-scale Representation and Analysis

9. Applications of 3D City Models for a Better Understanding of the Built Environment
Bruno Willenborg, Maximilian Sindram, Thomas H. Kolbe

10. An Automatic Approach for Generalization of Land-Cover Data from Topographic Data
Frank Thiemann, Monika Sester

11. Epilogue
Denise Pumain

Keywords: Geography, Geographical Information Systems/Cartography, Landscape/Regional and Urban Planning, Data Mining and Knowledge Discovery