Geographic Information Systems Applications
The goal of this course is to provide students with technical skills to setup a GIS application successfully. The practical component of the course is based in ArcGIS software although the use of other tools is also encouraged. Vector and raster model, network analysis, 3D analysis, WebGIS applications and open source GIS are some of the topics covered. Students are expected to learn how to acquire the data, model, analyze and build a GIS application that fits the objectives of their final master project/thesis. Ideally the final project work will be submitted to a conference or an academic journal.
Pedro da Costa Brito Cabral
Weekly - Available soon
Total - Available soon
Portuguese. If there are Erasmus students, classes will be taught in English
Students are expected to attend all scheduled class meetings.
Allen, 2013, "GIS Tutorial 2: Spatial Analysis Workbook Edition 3" (arcgis10.1) ESRI Press, Redlands California, 408 p. ISBN: 9781589483378ESRI
Xuan Zhu, 2016, ¿GIS for Environmental Applications: A practical Approach¿, Routledge
Mitchell, 2001, "The ESRI Guide to GIS Analysis, Volume 1: Geographic Patterns and Relationships," Environmental Systems Research Institute, Inc., Redland California, 190 p. ISBN: 9781879102064
Mitchell, 2005, "The ESRI Guide to GIS Analysis: Volume 2: Spatial Measurements & Statistics," Environmental Systems Research Institute, Inc., Redland California, 252 p. ISBN: 9781589481169
Students will meet in class for 2 hours at a time for 2 days a week. Each session will be either lecture & discussion, lecture & lab exercises, or student presentations.
Final grade is calculated as follows:
1. GIS Exercise (25%).
2. GIS project status quo (5%)
3. GIS application project (65%).
4. Up to 2 Virtual Campus courses (5%).
1. GIS applications. Free and subscription data sources.
2. Geographical data collection, edtition, analysis and presentation.
3. Analyzing patterns.
4. Identifying clusters.
5. Geoprocessing tools.
6. Projection systems.
7. Raster modelling and analysis. Multi-criteria evaluation models.
8. 3D analysis
9. Network analysis
10. WebGIS. Standards.
11. Free Open-source software. GIS in the cloud.
Programs where the course is taught:
- Specialization in Information Analysis and Management
- Specialization in Risk Analysis and Management
- Specialization in Knowledge Management and Business Intelligence
- Specialization in Information Systems and Technologies Management
- Specialization in Marketing Intelligence
- Specialization in Marketing Research and CRM
- Specialization in Knowledge Management and Business Intelligence – Working Hours Format
- Specialization in Information Systems and Technologies Management - Working Hours Format
- Specialization in Marketing Intelligence - Working Hours Format
- Master of Geographic Information Systems and Science
- Post-Graduation in Information Analysis and Management
- Post-Graduation Risk Analysis and Management
- PostGraduate in Smart Cities
- PostGraduate in Geographic Information Systems and Science
- PostGraduate in Data Science for Marketing
- PostGraduate in Digital Enterprise Management
- PostGraduate Digital Marketing and Analytics
- PostGraduate in Information Management and Business Intelligence in Healthcare
- Post-Graduation in Knowledge Management and Business Intelligence
- Post-Graduation Information Systems and Technologies Management
- Post-Graduation in Marketing Intelligence
- Post-Graduation Marketing Research e CRM
- PostGraduate in Enterprise Information Systems