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Geographic Information Systems Applications

Objectives

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.

General characterization

Code

200058

Credits

7.5

Responsible teacher

Hours

Weekly - Available soon

Total - Available soon

Teaching language

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

Prerequisites

Students are expected to attend all scheduled class meetings.

Bibliography

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; Allen, 2013, "GIS Tutorial 2: Spatial Analysis Workbook Edition 3" (arcgis10.1) ESRI Press, Redlands California, 408 p. ISBN: 9781589483378ESRI; 0; 0

Teaching method

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.

Evaluation method

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%).

Subject matter

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.