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Geographic Information Systems Applications

Objectives

The goal of this course is to provide students with a practical introduction to principles, methods, and techniques of geographical information systems (GIS). The practical component of the course is based in ESRI ArcGIS software although the use of other tools is also encouraged. Students are expected to learn how to acquire the data, model, analyze and develop 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.

General characterization

Code

200058

Credits

7.5

Responsible teacher

Pedro da Costa Brito Cabral

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

None.

Bibliography

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

Teaching method

Theoretical - practical classes with presentations and hands-on software.

Evaluation method

Final grade is calculated as follows:

1.     Tutorial exercises (1.25% each, up to 10%).

2.     GIS Exercise (10%).

3.     Project plan (5%).

4.     GIS application project presentation (5%).

5.     GIS application project report (40%).

6.     Test during class (25%)

7.     Up to 2 Virtual Campus courses (5%).

 

If you fail the continuous evaluation you will need to do:

1.     Exam (date to be confirmed, 50%);

2.     Final project (it is not possible to improve the grade of the project, 50%).

Subject matter

  1. Introduction to GIS
  2. Spatial data and data management
  3. Spatial data input and manipulation
  4. Spatial analysis
  5. Spatial statistics
  6. Terrain analysis
  7. Spatial visualization
  8. Spatial decision analysis and modelling
  9. WebGIS and GIS as a service
  10. GIS Applications