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Special Session: Spatial Simulation

Context: from pattern to process
Currently, geoinformatics is undergoing a fundamental shift from handling static spatial data (‘pattern’) to the processing of highly dynamic spatio-temporal data (‘process’). Spatial Simulation is a generative modelling approach that aims at understanding the formation of spatial patterns. It thus complements descriptive (big data) analysis of spatio-temporal patterns.

Scope of the session:
We invite contributions that advance the state-of-art in spatial simulation modelling, including;

  • approaches based on cellular automata, agent-based models, individual-based models, microsimulation, or spatial system dynamics,
  • applications of spatial simulation models in various domains, including ecology, landscape ecology, conservation biology, population dynamics, social network models, urban geography, pedestrian modelling, or transport modelling,
  • hybrid models that integrate multiple modelling methods,
  • participatory spatio-temporal modelling,
  • dynamic geo-visualisation of simulation results,
  • explorative model analysis and validation.

Contributions can either be submitted as full paper, extended abstract or poster. Authors of accepted full papers and Extended Abstracts are invited to present and discuss their papers (15’+5’) in the special session. Authors of accepted posters are invited for a lightning talk (5’). Full papers and extended abstracts will be published in the GI-Forum Journal (Open Access).

Information: Call for Papers

Call for Papers closed since February 1!

The special session is organised by the Spatial Simulation research group at the Department of Geoinformatics – Z_GIS, University of Salzburg. Please contact This email address is being protected from spambots. You need JavaScript enabled to view it. for any inquiries.

Special Session Spatial Simulation | Wednesday, July 5, 2017

(title, presenter, slot name)
Open / Close all
05. Juli 2017
13:00 - 14:30

Determinants of Social Networking Mechanisms and their Potential Effects on a Place-Based Geography – An Agent-Based Simulation Approach
Koch Andreas University of Salzburg, Dep. of Geography and Geology

Modelling the forest fuel market focusing on wood chips: spatial agent-based approaches to simulate competition among the heating plants
Scholz Johannes Graz University of Technology, Institute of Geodesy, RG Geoinformation

Participatory simulation for purpose games – a case study
Sonnleitner Michaela Ludwig-Maximilians-University Munich

ABM-update: agent-based model applications
speed talks Student
05. Juli 2017
17:00 - 18:30

Fast simulation of spatial rainfall patterns
Breinl Korbinian Uppsala University

Rainfall patterns have impact on droughts, floods, agriculture or public health and are thus of importance for various disciplines in earth sciences. The daily rainfall generator TripleM (Multisite Markov Model) is a reduced-complexity code for generating rainfall at multiple sites at low computational costs. TripleM has originally been developed at Z_GIS and been further improved at Uppsala University (Sweden) to allow for simulations at larger spatial scales. We will present the theory behind the model and provide hands-on exercises using the now publicly available MATLAB code. We will likewise address opportunities and challenges of stochastic rainfall modelling.

Target group/ requirements: Earth scientists or engineers that work with weather extremes and deal with floods, droughts, agriculture, public health and climate change.

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