ISPRS WG IV/8
GeoComputation and GeoSimulation
Our Mission
ISPRS Working group IV/8 aims to promote the development of new methods, algorithms, and applications of GeoComputation and GeoSimulation to analyse big spatial and spatio-temporal data and gain insights into their complexity.
For this purpose, the WG organises workshops to exchange the latest developments on GeoComputation and GeoSimulation for processing large spatio-temporal data and modeling network complexity in applications of smart cities, environment, and ecological systems. In addition, the WG aims to transfer knowledge through hands on tutorial sessions at international conferences and ISPRS events.
The WG will work closely with WGs (IV/3, IV/4; IV/6; IV/9) and will maintain links with the GIScience and GeoComputation communities.
Working Group Officers | ||
Chair | ||
 | Yaolin Liu School of Resource and Environmental Sciences Wuhan University No. 129 Luoyu Rd. Wuhan 430079 CHINA +86 27 68778650 +86 27 68778893
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Co-Chair | ||
 | James Haworth SpaceTimeLab Department of Civil, Environmental & Geomatic Engineering University College London Gower St., WC1E 6BT London UNITED KINGDOM +44 20 76 79 72 22
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Co-Chair | ||
 | Sarah Wise Centre for Advanced Spatial Analysis University College London Gower St., WC1E 6BT London UNITED KINGDOM +44 79 83 28 02 60
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Secretary | ||
 | Jianhua He School of Resource and Environmental Sciences Wuhan University No. 129 Luoyu Rd. Wuhan 430079 CHINA +86 27 68778861 +86 27 68778893
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Terms of Reference
- Promote the development and application of geocomputational (e.g. geostatistical, econometric, machine learning) methods and algorithms for processing spatio-temporal data.
- Explore the use of spatio-temporal data for large scale predictive analytics.
- Explore and promote the use of machine learning methods (Neural networks, Genetic algorithms, and Evolutionary computing, etc.) in the GISciences.
- Explore and promote the use of agent-based simulation and cellular automata in modelling geospatial processes and human behaviour, and study their validation.
- Promote the development of geocomputational algorithms for large-scale network data analysis.
- Explore the potential of using high performance computing (cloud computing and grid computation) for modelling large scale spatio-temporal processes.
- Encourage applications in urban studies of geodemographics, health, criminology and transport; in environmental, ecological and biological modeling and analysis; and in modeling mobile, wireless, and location-based service networks, amongst others.
- Educate the ISPRS community and the next generation of GIScientists on tools and techniques of GeoComputation and GeoSimulation.
WG IV/8
