IPODLAS—A software architecture for coupling temporal simulation systems, VR, and GIS

Isenegger, Daniel; Price, Bronwyn; Wu, Yi; Fischlin, Andreas; Frei, Urs; Weibel, Robert; Allgöwer, Britta

doi:10.1016/j.isprsjprs.2005.10.003

Cited by 7 publications

(14 citation statements)

References 31 publications

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“…Mobility is one of the most analyzed behaviour, especially in the transportation domain. These phenomena are usually modeled and analysed using multiagent geosimulation approaches, such as in [19,26]. In these approaches, dynamic phenomena are not modeled as entities in their own right.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…Geosimulation is a relatively recent domain that is characterized by an explicit attention to space and geography [41] while multiagent geosimulation consists in simulating agent's behaviors in VGEs [30,34], using data from geographic information systems (GIS). In recent years, multiagent geosimulation has been used to model several social phenomena, especially mobility in urban environments, such as in [2,5,6,19,26,42,45], to mention a few. We think that multiagent geosimulation-by integrating technological advances of autonomous agents, GIS data and dynamic phenomena modelingis appropriate in the context of the "What if" analysis of COAs.…”

Section: A General Approach To Support Coas "What-if" Analysis In Geographic Environmentsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Agent Geosimulation In Support To “What if” Courses Of Action Analysis

Haddad

Moulin

2008

Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Syste

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In this paper we propose an approach to support "what-if" analysis in the context of COA evaluation. Our approach consists in using multiagent geosimulation to simulate the execution of COAs in a Virtual Geographic Environment (VGE) which can change during the simulation, and then allowing the user to explore various assumptions and to analyse their outcomes. We identify the requirements to support this approach and we present how we implement them in the MAGS-COA software. We also illustrate our approach on an example and we present future works.

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: A General Approach To Support Coas "What-if" Analysis In Geographic Environmentsmentioning

confidence: 99%

Multi-Agent Geosimulation In Support To “What if” Courses Of Action Analysis

Haddad

Moulin

2008

Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Syste

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“…Art is appreciative of complexity and uncertainty and has the ability to convey understanding on an analytic level as well as through experience. Aesthetic appreciation has its own type of rationality that warrants more exploration in the context of complex systems communication (Isenegger et al 2005, Law and Van Schaik 2010, Ramírez and Ravetz 2011. Criteria such as those in this paper may still be too limited to value concepts that use such aesthetic rationality.…”

Section: Untapped Potential: Collaboration Between Social-ecological mentioning

confidence: 96%

A sense of change: media designers and artists communicating about complexity in social-ecological systems

Vervoort¹,

Keuskamp²,

Kok³

et al. 2014

E&S

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ABSTRACT. To take on the current and future challenges of global environmental change, fostering a widespread societal understanding of and engagement with the complex dynamics that characterize interacting human and natural systems is essential. Current science communication methods struggle with a number of specific challenges associated with communicating about complex systems. In this study we report on two collaborative processes, a short workshop and longer course, that aimed to harness the insights of interactive media designers and artists to overcome these challenges. The two processes resulted in 86 new interactive media concepts which were selected by the participants and organizers using set criteria and then evaluated using the same criteria by a panel of communication and media design experts and a panel of complex systems scientists using the same criteria. The top eight concepts are discussed in this paper. These concepts fell into the categories of serious games, group interaction concepts, and social media storytelling. The serious games focused directly on complex systems characteristics and were evaluated to be intuitive and engaging designs that combined transparency and complexity well. The group interaction concepts focused mostly on feedbacks and nonlinearity but were fully developed and tested in the workshops, and evaluated as engaging, accessible, and easy to implement in workshops and educational settings. The social media storytelling concepts involved less direct interactions with system dynamics but were seen as highly accessible to large scale audiences. The results of this study show the potential of interdisciplinary collaboration between complex systems scientists, designers, and artists. The results and process discussed in this paper show the value of more structural engagement of interactive media designers and artist communities in the development of communication tools about human and natural systems change.

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“…The data and models came from the project applicants' long-term research projects and dealt with aspects of alpine forest ecosystems dynamics: a) migrating insect populations and b) wildland fire propagation. Based on these case studies, three closely linked PhD dissertation projects were carried out that developed the specifications and the required functionalities of the Ipodlas software system (Isenegger et al, 2005;Isenegger, 2006). This set-up made it possible to explore cross-scale modelling and simulations with different data and models and to link them to flexible visualization procedures.…”

Section: Ipodlasmentioning

confidence: 99%

“…In the area of spatially explicit data, which are especially relevant for spatial and landscape planning, data management is largely taken over by geographic information systems (GIS). Dynamic modelling often takes place in an independent, time-based development environment, and for visualization a third instrument is utilized (Bishop, 1998;Isenegger et al, 2005). Optimization of these interfaces is considered to be an important contribution towards applicability of the models in practice (Vonk et al, 2005).…”

Section: Technical Advances In the Combination Of Approachesmentioning

confidence: 99%