Navegando por Autor "Câmara, Gilberto"

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An extensible toolbox for modeling nature-society interactions.
(2013) Carneiro, Tiago Garcia de Senna; Andrade Neto, Pedro Ribeiro de; Câmara, Gilberto; Monteiro, Antônio Miguel Vieira; Pereira, Rodrigo Reis
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.
Dynamical coupling of multiscale land change models.
(2009) Moreira, Evaldinolia; Costa, Sérgio; Aguiar, Ana Paula Dutra; Câmara, Gilberto; Carneiro, Tiago Garcia de Senna
No single model or scale can fully capture the causes of land change. For a given region, land changes may have different impacts at different places. Limits and opportunities imposed by biophysical and socio-economic conditions, such as local policies and accessibility, may induce distinct land change trajectories. These local land change trajectories may, in turn, indirectly affect other places, as local actions interact with higher-level driving forces. Such intraregional interdependencies cannot be captured by studies at a single scale, calling for multiscale and multilocality studies. This paper proposes a software organization for building computational models that support dynamical linking of multiple scales. This structure couples different types of models, such as cell-space models with agent-based models. We show how results in multiscale models can flow both in bottom-up and top-down directions, thus allowing feedback from local actors to regional scales. The proposal is general and independent of specific software, and it is effective to model intraregional, bottom-up and top-down interactions in land change models. To show the model’s potential, we develop a case study that shows how a multiscale model for the Brazilian Amazonia can include feedbacks between local to regional scales.
Processos de ocupação nas novas fronteiras da Amazônia (o interflúvio do Xingu/ Iriri).
(2005) Escada, Maria Isabel Sobral; Vieira, Ima Célia Guimarães; Kampel, Silvana Amaral; Araújo, Roberto; Veiga, Jonas Bastos da; Oliveira, Myriam; Pereira, Jorge Luís Gavina; Carneiro Filho, Arnaldo; Fearnside, Philip Martin; Venturieri, Adriano; Carriello, Felix; Thales, Marcelo; Carneiro, Tiago Garcia de Senna; Monteiro, Antônio Miguel Vieira; Câmara, Gilberto
Este trabalho apresenta os primeiros resultados do esforço conjunto de várias instituições, organizadas em torno da rede Geoma (Rede Temática de Pesquisa em Modelagem Ambiental da Amazônia) para avançar a compreensão dos novos padrões e processos de estruturação do território nas novas frentes no sul do Pará, analisando padrões de desmatamento e os processos que dão origem a esses padrões. Busca-se, aqui, produzir os subsídios necessários para o desenho de políticas públicas responsáveis, que não privilegiem um único aspecto do problema, como a abertura de estradas, por exemplo. Aponta-se, então, a partir desses primeiros resultados, que apenas uma solução integrada que procure estruturar os principais agentes e processos na cadeia produtiva seria possível para minorar os efeitos do desmatamento e nortear o desenvolvimento integrado para a região, com benefícios para a floresta e para as populações que ali vivem.
SimiVal, a multi-criteria map comparison tool for land-change model projections.
(2016) Bradley, Andrew V.; Rosa, Isabel Maria Duarte; Pontius Junior, Robert G.; Ahmed, Sadia E.; Araújo, Miguel Bastos; Brown, Daniel G.; Brandão Júnior, Amintas de Oliveira; Câmara, Gilberto; Carneiro, Tiago Garcia de Senna; Hartley, Andrew J.; Smith, Matthew J.; Ewers, Robert M.
The multiple uses of land-cover models have led to validation with choice metrics or an ad hoc choice of the validation metrics available. To address this, we have identified the major dimensions of land-cover maps that ought to be evaluated and devised a Similarity Validation (SimiVal) tool. SimiVal uses a linear regression to test a modelled projection against benchmark cases of, perfect, observed and systematicbias, calculated by rescaling the metrics from a random case relative to the observed, perfect case. The most informative regression coefficients, p-value and slope, are plot on a ternary graph of ‘similarity space’ whose extremes are the three benchmark cases. SimiVal is tested on projections of two deliberately contrasting land-cover models to show the similarity between intra- and inter-model parameterisations. We find metrics of landscape structure are important in distinguishing between different projections of the same model. Predictive and exploratory models can benefit from the tool.