
Geographical Information Science
Code
100021
Academic unit
NOVA Information Management School
Credits
6.0
Teacher in charge
Weekly hours
45.0
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Objectives
The aim of this course is to provide students with theoretical and practical knowledge of Geographic Information Science (GISc).
The theoretical concepts will be explored using a combination of lectures with discussion.
The practical pcomponent will be taught using GIS desktop software for GIS (ESRI ArcGIS) and GIS tools available in the Cloud (ArcGIS Online, Story Maps).
Prerequisites
None.
Subject matter
Theoretical classes:
0. Introducing GIS analysis
1. Mapping where thing are
2. Mapping the most and least
3. Mapping density
4. Finding what's inside
5. Finding what's nearby
6. Mapping change
7. Measuring geographic distribution
8. Analyzing patterns
9. Identifying clusters
10. Publishing Data on the Web - ArcGIS OnlinePractical classes:
These sessions correspond to exercises directly related to the content of the theoretical classes.
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
Virtual Campus course, Turning Data into Information by Paul Longley, Michael Goodchild, David Maguire, and David Rhind
Teaching method
Lectures with debate. Practical classes for problem solving through exercises, project support.
Evaluation method
1st phase: Continuous evaluation
- 2 tests during the semester (45%)
- Final GIS project (40.5%)
- Tutorial solving (12%)
- Virtual Campus ESRI (2.5%)
- 2nd phase exame (100%)