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Environmental Modelling & Software
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An extensible toolbox for modeling nature–society interactions

Authors: Tiago G. S. Carneiro; Pedro Ribeiro de Andrade; Gilberto Câmara; Antônio Miguel Vieira Monteiro; Rodrigo Reis Pereira;

An extensible toolbox for modeling nature–society interactions

Abstract

Modeling interactions between social and natural systems is a hard task. It involves collecting data, building up a conceptual approach, implementing, calibrating, simulating, validating, and possibly repeating these steps again and again. There are different conceptual approaches proposed in the literature to tackle this problem. However, for complex problems it is better to combine different approaches, giving rise to a need for flexible and extensible frameworks for modeling nature-society interactions. In this paper we present TerraME, an open source toolbox that supports multi-paradigm and multi-scale modeling of coupled human-environmental systems. It enables models that combine agent-based, cellular automata, system dynamics, and discrete event simulation paradigms. TerraME has a GIS interface for managing real-world geospatial data and uses Lua, an expressive scripting language. TerraME is a toolbox for modeling and simulation of nature-society interactions.Novel abstractions and services support multiscale spatiotemporal modeling.It allows the combined use of several paradigms for model implementation.It provides an extensible high-level modeling language.GIS integration supports real-world case studies.

Keywords

Nature–society models, Multi-scale modeling, Environmental modeling, Discrete event simulation, Cellular automata, Multi-agent systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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27
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