论文信息 - GeoSim 2018 workshop report the 1st ACM SIGSPATIAL international workshop on geospatial simulation

GeoSim 2018 workshop report the 1st ACM SIGSPATIAL international workshop on geospatial simulation

Geospatial simulation is a powerful tool for many disciplines including urban analytics, social science and meteorology to understand, explain, and predict overly complex natural and human-made systems. For instance, hurricane simulation has been used to predict hurricane paths and to make a decisions such as evacuation plans. Traffic simulation have enabled us to forecast traffic congestion in cities around the world.

[1] Suzana Dragicevic,et al. Geographic Network Automata for Representing Complex Evolving Spatial Systems , 2018, GeoSim@SIGSPATIAL.

[2] Anahid Bassiri,et al. Simulating and modeling the signal attenuation of wireless local area network for indoor positioning , 2019, GeoSim@SIGSPATIAL.

[3] Adrian Friday,et al. Using an Agent-based Model to Explore Alternative Modes of Last-Mile Parcel Delivery in Urban Contexts , 2018, GeoSim@SIGSPATIAL.

[4] Ryosuke Shibasaki,et al. Firm-level behavior control after large-scale urban flooding using multi-agent deep reinforcement learning , 2019, GeoSim@SIGSPATIAL.

[5] Dandong Yin,et al. Integrating CyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time , 2019, GeoSim@SIGSPATIAL.

[6] Yaron Kanza,et al. SimCT: spatial simulation of urban evolution to test resilience of 5G cellular networks , 2019, GeoSim@SIGSPATIAL.

[7] Shaowen Wang,et al. CyberGIS-Jupyter for spatially explicit agent-based modeling: a case study on influenza transmission , 2019, GeoSim@SIGSPATIAL.

[8] Alexander Hohl,et al. Spatiotemporal simulation: local Ripley's K function parameterizes adaptive kernel density estimation , 2019, GeoSim@SIGSPATIAL.

[9] Dieter Pfoser,et al. GeoSim 2019 workshop report: The 2nd ACM SIGSPATIAL International Workshop on Geospatial Simulation , 2019, ACM SIGSPATIAL Special.