GeoGame analytics - A cyber-enabled petri dish for geographic modeling and simulation

Authored by Ola Ahlqvist, Nayan Khodke, Rajiv Ramnath

Date Published: 2018

DOI: 10.1016/j.compenvurbsys.2017.08.013

Sponsors: United States National Science Foundation (NSF)

Platforms: GIS

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

As researchers start to conceptualize human-environmental interactions through coupled human and natural systems research, the non-linear, dynamic, heterogeneous, feedback loops that are characteristic of those systems challenges a long-standing Newtonian paradigm of systems reducible to component parts, deterministic behavior, and the existence of equilibrium. As an alternative, complex systems researchers often use agent based models (ABM) or multi-agent systems (NIAS) to model and simulate complexity in human-environmental interactions. This paper briefly reports on the development of a novel cyberinfrastructure portal solution called GeoGames. This computing environment integrates and leverages web-GIS and multiplayer online game technology to enable simulations of real-world scenarios of coupled human and natural systems applicable to anything from cities, urban regions to other human settlements. While there are some similarities between GeoGames and games like SimCity, and Civilization, a fundamental idea underlying the GeoGames approach is the focus on creating an on-line world that mirrors (c.f. Gelemter, 1991) authentic real-world geography, realized by a full range of GIS supported mapping and processing services (Ahlqvist, Loffing, Ramanathan, Kocher, P). In the context of air prototype platform we present the emerging area of Spatial Game Analytics (Drachen \& Schubert, 2013) that provides an uncharted area for data-intensive geospatial scenario analysis. Our example scenario is a game that models the relationships of land management on hydrology and water quality. Our presentation is illustrated with examples from our own prototype platform that has generated a significant amount of user data on game play decisions and behavior. Exploratory GeoGame analytics are used to mine the spatial behavior of hundreds of players in order to-identify how variations in the rules (land use policies) and varying locations (spatial configurations) affect the simulation outcomes. (C) 2017 Elsevier Ltd. All rights reserved.

Tags

Agent-based models Complexity Agent based models Simulations information games Analytics Coupled human Natural systems Land-market