RICARDO BRASIL
rmsb@campus.ul.pt
rmsb@campus.ul.pt
MSc in Geographic Information Systems (GIS) and Territorial Modelling applied to Territorial Planning by the Institute of Geography and Spatial Planning of the University of Lisbon (IGOT-UL) in 2010 (Specialization in Geographic Information Systems).
Degree in Geography, variant of Cartography and Geographic Information Systems by the Faculty of Letters of the University of Lisbon (FL-UL) in 2008.
Projects : AutoMAPtics - Automatic Mapping of Soils (2011-2014); JUSCOM (2014 - to date).
Researcher at the Centre for Geographical Studies since 2011.
Research domains: GIS; Cartography; Spatial Analysis; Databases (Alphanumeric and Geographic); Artificial Intelligence (Artificial Neural Networks and Fuzzy Logic); Online applications (WebGIS).
PUBLICATIONS
Thesis:
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;
Papers in collective journals:
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;
Other:
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.
Degree in Geography, variant of Cartography and Geographic Information Systems by the Faculty of Letters of the University of Lisbon (FL-UL) in 2008.
Projects : AutoMAPtics - Automatic Mapping of Soils (2011-2014); JUSCOM (2014 - to date).
Researcher at the Centre for Geographical Studies since 2011.
Research domains: GIS; Cartography; Spatial Analysis; Databases (Alphanumeric and Geographic); Artificial Intelligence (Artificial Neural Networks and Fuzzy Logic); Online applications (WebGIS).
PUBLICATIONS
Thesis:
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;
Papers in collective journals:
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;
Other:
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.