%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.16.18.51
%2 sid.inpe.br/marte2/2017/10.27.16.18.52
%@isbn 978-85-17-00088-1
%F 59369
%T ATLAS: A visualization and analysis framework for geospatial datasets
%D 2017
%A Lourenço, Ricardo Barros,
%A Matteson, Nathan J,
%A Brizius, Alison,
%A Elliott, Joshua Wright,
%A Foster, Ian Tremere,
%@electronicmailaddress rlourenco@cs.uchicago.edu
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 7301-7308
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Due to the internationalization of agricultural markets and the relevance of global change drivers (climate, population, consumption, and regulation), food security and land-use change dynamics must be evaluated at the global scale. The effects of food insecurity and environmental impacts, however, are largely experienced locally and confronted by decision-makers at national or regional scales. The ATLAS (Agro-Economic Dynamics and Trade-offs of Land Use and Sustainability) viewer is designed to support data management, retrieval, analysis and visualization to enable users to explore interactions across these scales. We are beginning with visualizations of pSIMS model outputs and will be extending ATLAS for use with many more models and other multi-scale data products.
%9 Sistemas, gerenciamento e política de dados
%@language en
%3 59369.pdf