Author:
Blecic Ivan,Cecchini Arnaldo,Trunfio Giuseppe A.
Publisher
Springer Berlin Heidelberg
Reference23 articles.
1. Clarke, K., Hoppen, S., Gaydos, L.: A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay Area. Env. Plan. B 24, 247–261 (1997)
2. Project Gigalopolis, NCGIA (2003), http://www.ncgia.ucsb.edu/projects/gig/
3. Straatman, B., White, R., Engelen, G.: Towards an automatic calibration procedure for constrained cellular automata. Computers, Environment and Urban Systems 28, 149–170 (2004)
4. Engelen, G., White, R.: Validating and Calibrating Integrated Cellular Automata Based Models of Land Use Change. In: The Dynamics of Complex Urban Systems: an Interdisciplinary Approach, pp. 185–211. Springer, Heidelberg (2007)
5. Lecture Notes in Computer Science;W. Spataro,2004
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Recent Trends in Modelling and Simulation with Machine Learning;2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2020-03
2. Improving SLEUTH Calibration with a Genetic Algorithm;Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management;2017
3. How much past to see the future: a computational study in calibrating urban cellular automata;International Journal of Geographical Information Science;2015-01-09
4. Urban metabolism and climate change: A planning support system;International Journal of Applied Earth Observation and Geoinformation;2014-02
5. Fast and Accurate Optimization of a GPU-accelerated CA Urban Model through Cooperative Coevolutionary Particle Swarms;Procedia Computer Science;2014