Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities-Reference-Cited by-同舟云学术

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Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities

Published:2020-12-04 Issue:1 Volume:53 Page:76-91
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr. Anal.

Author:

Heppenstall Alison¹²^ORCID,Crooks Andrew³,Malleson Nick¹²,Manley Ed¹²,Ge Jiaqi¹,Batty Michael⁴

Affiliation:

1. School of Geography University of Leeds Leeds U.K.

2. Alan Turing InstituteThe British Library London U.K.

3. Department of Computational and Data Sciences and Department of Geography and Geoinformation Science George Mason University Fairfax VA USA

4. Centre for Advanced Spatial Analysis (CASA) University College London London U.K.

Funder

H2020 European Research Council

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12267

Reference98 articles.

1. Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models

2. Modeling human decisions in coupled human and natural systems: Review of agent-based models

3. Editorial: Meeting Grand Challenges in Agent-Based Models

4. Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration

5. A Geographic Network Automata Approach for Modeling Dynamic Ecological Systems

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