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Dinâmica Espacial Urbana na Amazônia: Modelo de Autômatos Celulares na Simulação da Expansão Urbana no Município de Mocajuba - Pará.

, , , , and . GEOINFO, page 228-233. MCTIC/INPE, (2020)

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Software Visualization Tool for Evaluating API Usage in the Context of Software Ecosystems: A Proof of Concept., , , and . ICCSA (6), volume 12254 of Lecture Notes in Computer Science, page 335-350. Springer, (2020)Land Cover Classifications of Clear-cut Deforestation Using Deep Learning., , , , , , , and . GEOINFO, page 48-56. MCTIC/INPE, (2019)Measuring Allocation Errors in Land Change Models in Amazonia., , , , and . GEOINFO, page 133-141. MCT/INPE, (2013)Um algoritmo de máxima concordância para harmonizar legendas de mapas de uso e cobertura da terra., , and . GEOINFO, page 211-216. MCTIC/INPE, (2022)Assessing Satellite Image Time Series Clustering Using Growing SOM., , , and . ICCSA (5), volume 12253 of Lecture Notes in Computer Science, page 270-282. Springer, (2020)Exploring the time geography of public transport networks with the gtfs2gps package., , and . J. Geogr. Syst., 25 (3): 453-466 (July 2023)Assessing Land Use And Land Cover Maps And Legends Between Mapbiomas And Brazil'S Fourth Emission Inventory., , and . GEOINFO, page 144-154. MCTI/INPE, (2023)Effects Of IBGE's 2019 Definition For Brazilian Biomes In Different Political-Administrative Scales., , , and . GEOINFO, page 279-287. MCTI/INPE, (2023)TerraME Observer: An Extensible Real-Time Visualization Pipeline for Dynamic Spatial Models., , and . GEOINFO, page 48-59. MCT/INPE, (2012)Evaluating Growing Self-Organizing Maps for Satellite Image Time Series Clustering., , , and . GEOINFO, page 243-248. MCTIC/INPE, (2019)