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Trends in Spatial Analysis and Modelling

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Cover of 'Trends in Spatial Analysis and Modelling'

Table of Contents

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    Book Overview
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    Chapter 1 Reverse Engineering of Land Cover Data: Machine Learning for Data Replication in the Spatial and Temporal Domains
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    Chapter 2 Geospatial Analysis Requires a Different Way of Thinking: The Problem of Spatial Heterogeneity
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    Chapter 3 A Survey on Spatiotemporal and Semantic Data Mining
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    Chapter 4 Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon
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    Chapter 5 The Application of the SPAWNN Toolkit to the Socioeconomic Analysis of Chicago, Illinois
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    Chapter 6 The Evolution of the Land Development Industry: An Agent-Based Simulation Model
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    Chapter 7 Dynamic Relationships Between Human Decision Making and Socio-natural Systems
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    Chapter 8 Lessons and Challenges in Land Change Modeling Derived from Synthesis of Cross-Case Comparisons
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    Chapter 9 Applications of 3D City Models for a Better Understanding of the Built Environment
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    Chapter 10 An Automatic Approach for Generalization of Land-Cover Data from Topographic Data
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    Chapter 11 Epilogue
Attention for Chapter 2: Geospatial Analysis Requires a Different Way of Thinking: The Problem of Spatial Heterogeneity
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