Ricardo Brasil
rmsb@campus.ul.pt
rmsb@campus.ul.pt
Mestre em Sistemas de Informação Geográfica (SIG) e Modelação Territorial aplicados ao Ordenamento pelo Instituto de Geografia e Ordenamento do Território (IGOT-UL) desde 2010. Licenciado em Geografia, variante de Cartografia e Sistemas de Informação Geográfica pela Faculdade de Letras da Universidade de Lisboa (FL-UL) desde 2008. Projectos: AutoMAPtics - Automatic MAPping of Soils (2011-2014); JUSCOM (2014 - até à data). É investigador do Centro de Estudos Geográficos desde 2011.
Domínios de investigação: SIG; Cartografia; Análise Espacial; Bases de Dados (Alfanuméricas e Geográficas); Inteligência Artificial (Redes Neuronais Artificiais e Lógica Difusa); Aplicações Online (WebSIG).
PUBLICAÇÕES
Teses:
Brasil, R. (2010) - Geographic Information Systems in Santa Casa da Misericórdia de Lisboa - Social and Health. Institute of Geography and Spatial Planning. University of Lisbon. 113 pg;
Artigos científicos inseridos em obras colectivas:
Fonseca, I.L.; Brasil, R.; Rocha, J.; Freire, S.; Tenedório, J. (2012) Soil Maps –Turning Old into New. In S. Scappini & S. Zapparoli (Eds) Proceedings of the 7th Euregeo – EUropean Congress on REgional and GEOscientific Cartography and Information Systems - Sustainable Geo-Management.Bologna, Italy: Freistaat Bayern, Regione Emilia-Romagna & Generalitat de Catalunya. Volume 1, p. 146-147;
Brasil, R.; Fonseca, I.L.; Freire, S.; Rocha, J.; Tenedório, J. (2012) Digital Soil Mapping using Artificial Neural Networks - Sampling Issues. In S. Scappini & S. Zapparoli (Eds) Proceedings of the 7th Euregeo –EUropean Congress on REgional and GEOscientific Cartography and Information Systems - Sustainable Geo-Management. Bologna, Italy: Freistaat Bayern, Regione Emilia-Romagna & Generalitat de Catalunya. Volume 1, p. 140-141;
Fonseca, I.L.; Freire, S.; Brasil, R.; Rocha, J.; Tenedório, J. (2012) Artificial Intelligence – Bridging the Gaps in Soil Maps. In Proceedings of the World Forum on Soil BioEngineering and Land Management – New Challenges: Sustaining our Land, Water and Life in Changing Climate. Cascais, Portugal: APENA, AEIP& EFIB, p. 81-82;
Freire, S.; Fonseca, I.L.; Brasil, R.; Rocha, J.; Tenedório, J. (2012) The importance of sampling for the efficiency of artificial neural networks in digital soil modelling. In D. Royé, J.A. Aldrey Vázquez, M. Pazoz Otón, M.J. Piñeira Mantiñán & M. Valcárcel Díaz (Eds) Actas de el XIII C oloquio Ibérico da Geografía. Santiago de C ompostela, España: Meubook, Parte 5: 867-876;
Fonseca, I.L.; Freire, S.; Brasil, R.; Rocha, J.; Tenedório, J. (2013) Soil Landscape Modelling – Placing Place in its Place. Proceedings of the VI Congresso Nacional de Geomorfologia: Geomorfologia – Novos e Velhos Desafios. Coimbra: APGEOM, p. 151-155;
Freire, S.; Fonseca, I.L.; Brasil, R.; Rocha, J.; Tenedório, J. (2013) Using Artificial Neural Networks for Digital Soil Mapping– a comparison of MLP and SOM approaches. Peer-reviewed short paper accepted for publication in the 16th AGILE Conference on Geographic Information Science – GIS at the Heart of Europe. Leuven, Belgium, 6p. (http://agile.gis.geo.tu-dresden.de/web/index.php/conference/conference-2013?layout=edit&id=175);
Fonseca, I.L.; Brasil, R.; Freire, S.; Rocha, J.; Tenedório, J. (2013) Using the Multi-layer Perceptron Model to Predict Soil Classes – Data and Sampling Issues. Presented at the Pedometrics Conference 2013, Nairoby, Kenya, August 2013;
Fonseca, IL; Brasil, R., Freire, S.; Tenedório, J. (2013) Application of Artificial Neural Networks in Soil Mapping - Model Validation. Presented at the X - Congress of Portuguese Geography, 28th-30th November 2013;
Outros:
Gutierres, F.; Brasil, R.; Canário, P., Santos, J. (2009) - Interpolation Methodologies of the tropospheric ozone: estimation surfaces in Lisbon Metropolitan Area (AML). Institute of Geography and Spatial Planning (IGOT), Centre for Geographical Studies (CEG), University of Lisbon. Presented at EUE 2010-8th Meeting of ESRI Users. Portugal. Lisbon, March, 2010;
Brasil, R., Conceição, L.; Boieiro, I. (2010) - Geographic Information Systems (GIS) and age-friendly cities. Office of Research and Monitoring. Department of Social and Health. Observatory Aging of Santa Casa da Misericórdia de Lisboa, 2 p;
Brasil, R.; Santos, J. (2009) Análise Espacial da melhor localização para um centro comercial de média dimensão (100.000m2) no concelho de Lisboa. In Academia.edu, 2009.
Domínios de investigação: SIG; Cartografia; Análise Espacial; Bases de Dados (Alfanuméricas e Geográficas); Inteligência Artificial (Redes Neuronais Artificiais e Lógica Difusa); Aplicações Online (WebSIG).
PUBLICAÇÕES
Teses:
Brasil, R. (2010) - Geographic Information Systems in Santa Casa da Misericórdia de Lisboa - Social and Health. Institute of Geography and Spatial Planning. University of Lisbon. 113 pg;
Artigos científicos inseridos em obras colectivas:
Fonseca, I.L.; Brasil, R.; Rocha, J.; Freire, S.; Tenedório, J. (2012) Soil Maps –Turning Old into New. In S. Scappini & S. Zapparoli (Eds) Proceedings of the 7th Euregeo – EUropean Congress on REgional and GEOscientific Cartography and Information Systems - Sustainable Geo-Management.Bologna, Italy: Freistaat Bayern, Regione Emilia-Romagna & Generalitat de Catalunya. Volume 1, p. 146-147;
Brasil, R.; Fonseca, I.L.; Freire, S.; Rocha, J.; Tenedório, J. (2012) Digital Soil Mapping using Artificial Neural Networks - Sampling Issues. In S. Scappini & S. Zapparoli (Eds) Proceedings of the 7th Euregeo –EUropean Congress on REgional and GEOscientific Cartography and Information Systems - Sustainable Geo-Management. Bologna, Italy: Freistaat Bayern, Regione Emilia-Romagna & Generalitat de Catalunya. Volume 1, p. 140-141;
Fonseca, I.L.; Freire, S.; Brasil, R.; Rocha, J.; Tenedório, J. (2012) Artificial Intelligence – Bridging the Gaps in Soil Maps. In Proceedings of the World Forum on Soil BioEngineering and Land Management – New Challenges: Sustaining our Land, Water and Life in Changing Climate. Cascais, Portugal: APENA, AEIP& EFIB, p. 81-82;
Freire, S.; Fonseca, I.L.; Brasil, R.; Rocha, J.; Tenedório, J. (2012) The importance of sampling for the efficiency of artificial neural networks in digital soil modelling. In D. Royé, J.A. Aldrey Vázquez, M. Pazoz Otón, M.J. Piñeira Mantiñán & M. Valcárcel Díaz (Eds) Actas de el XIII C oloquio Ibérico da Geografía. Santiago de C ompostela, España: Meubook, Parte 5: 867-876;
Fonseca, I.L.; Freire, S.; Brasil, R.; Rocha, J.; Tenedório, J. (2013) Soil Landscape Modelling – Placing Place in its Place. Proceedings of the VI Congresso Nacional de Geomorfologia: Geomorfologia – Novos e Velhos Desafios. Coimbra: APGEOM, p. 151-155;
Freire, S.; Fonseca, I.L.; Brasil, R.; Rocha, J.; Tenedório, J. (2013) Using Artificial Neural Networks for Digital Soil Mapping– a comparison of MLP and SOM approaches. Peer-reviewed short paper accepted for publication in the 16th AGILE Conference on Geographic Information Science – GIS at the Heart of Europe. Leuven, Belgium, 6p. (http://agile.gis.geo.tu-dresden.de/web/index.php/conference/conference-2013?layout=edit&id=175);
Fonseca, I.L.; Brasil, R.; Freire, S.; Rocha, J.; Tenedório, J. (2013) Using the Multi-layer Perceptron Model to Predict Soil Classes – Data and Sampling Issues. Presented at the Pedometrics Conference 2013, Nairoby, Kenya, August 2013;
Fonseca, IL; Brasil, R., Freire, S.; Tenedório, J. (2013) Application of Artificial Neural Networks in Soil Mapping - Model Validation. Presented at the X - Congress of Portuguese Geography, 28th-30th November 2013;
Outros:
Gutierres, F.; Brasil, R.; Canário, P., Santos, J. (2009) - Interpolation Methodologies of the tropospheric ozone: estimation surfaces in Lisbon Metropolitan Area (AML). Institute of Geography and Spatial Planning (IGOT), Centre for Geographical Studies (CEG), University of Lisbon. Presented at EUE 2010-8th Meeting of ESRI Users. Portugal. Lisbon, March, 2010;
Brasil, R., Conceição, L.; Boieiro, I. (2010) - Geographic Information Systems (GIS) and age-friendly cities. Office of Research and Monitoring. Department of Social and Health. Observatory Aging of Santa Casa da Misericórdia de Lisboa, 2 p;
Brasil, R.; Santos, J. (2009) Análise Espacial da melhor localização para um centro comercial de média dimensão (100.000m2) no concelho de Lisboa. In Academia.edu, 2009.