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  

James HaworthJames 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  

Mikhail KanevskiMikhail Kanevski
CRET research center
University of Lausanne
Geopolis building
1015 Lausanne
Switzerland
+41 21 692 3531
+41 21 692 3535

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Co-Chair  

Yaolin LiuYaolin Liu
School of Resource and Environmental Sciences
Wuhan University
No. 129 Luoyu Rd.
Wuhan 430079
China
+86 27 68778650
+86 27 68778893

Secretary  

Sarah WiseSarah Wise
Centre for Advanced Spatial Analysis
University College London
Gower St., WC1E
6BT London
United Kingdom
+44 79 83 28 02 60

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.