This workshop focused on all aspects of simulation as a general paradigm to model and predict spatial data and its context. For this purpose, the workshop will discuss techniques and frameworks to simulate spatial data and to extract model parameters that can be learned from real-world data. The workshop will also discuss how simulations can be used to generate plausible synthetic data. The main objective of this workshop is to support the SIGSPATIAL community by providing simulations for various types of spatial data and problems. Using these simulations, we aim to supplement the community by offering a repository of synthetic spatial data sets, which can be scaled to different size and complexity.
This workshop is of interest to researchers that employ simulation techniques to predict future states of spatial systems. New simulation methods and frameworks, not necessarily coming from the SIGSPATIAL community, will be presented, discussed, and made applicable to topics and problems of the SIGSPATIAL community. Furthermore, this workshop is of interest to everyone who works with spatial data. The simulation methods that will be presented and discussed in our workshop should find a wide application across the community by producing benchmark datasets that can be parameterized and scaled. Simulated data sets will be made available to the community via the workshop website.
Topics of this workshop include:
- Applications for Spatial Simulation
- Agent Based Models for Spatial Simulation
- Multi-Agent based Spatial Simulation
- Big Spatial Data Simulation
- Spatial Data/Trajectory Generators
- Road Traffic Simulation
- Environmental Simulation
- Geoinformation Systems using Spatial Simulation
- Interactive Spatial Simulation
- Spatial Simulation Parallelization and Distribution
- Geo-Social Simulation and Data Generators
- Social Unrest and Riot Prediction using Simulation
- Spatial Analysis based on Simulation
- Behavioral Simulation
- Verifying, and Validating Spatial Simulations
- Urban Simulation
