Spatial Data Analysis and Visualization
The goal of this course is to introduce students to principles and methods of geographic information systems (GIS). Throughout the course, students will get acquainted with geographic information tools and techniques which are available for applications in research, industry and government. The practical component of the course is based on ESRI software although the use of other tools is also encouraged.
Vicente de Azevedo Tang
Weekly - Available soon
Total - Available soon
Portuguese. If there are Erasmus students, classes will be taught in English
Xuan Zhu, 2016. ¿GIS for Environmental Applications: A practical Approach¿, Routledge
Allen, 2013. "GIS Tutorial 2: Spatial Analysis Workbook Edition 3" (arcgis10.1) ESRI Press, Redlands California, 408 p. ISBN: 9781589483378ESRI
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
Longley, P. A., Goodchild, M. F., Maguire, D., & Rhind, D. W., 2005. Geographic Information Systems and Science (2 ed.). Chichester: John Wiley & Sons
Smith, M. J., Goodchild, M. F., & Longley, P. A. (2007). Geospatial Analysis - The comprehensive independent guide to principles, techniques & software tools.
Sommer, S., & Wade, T. (2006). A to Z GIS - An illustrated dictionary of geographic information systems (2 ed.). Redlands, CA: ESRI Press.
The curricular unit is based on theoretical lectures and practical application of methods using software applications, such as ArcGIS. A variety of instructional strategies will be applied, including lectures, slideshow demonstrations, step-by-step tutorials on using the tools and techniques in the ArcGIS software, questions and answers. The practical component is geared towards solving problems and exercises, including discussion and interpretation of results.
1. GIS Exercise (10%).
2. Project plan (2.5%).
3. Exam (25%)
4. GIS application project presentation (7.5%).
5. GIS application project report (50%).
6. Up to 2 ESRI Virtual Campus courses (5%)
LU1. Introduction to GIS
LU2. Spatial data and data management
LU3. Spatial data input and manipulation
LU4. Spatial analysis
LU5. Spatial statistics
LU6. Terrain analysis
LU7. Spatial visualization
LU8. Spatial decision analysis and modelling
LU9. WebGIS and GIS as a service
LU10. GIS Applications
Programs where the course is taught: