1. Home
  2. NOVA Information Management School
  3. Bachelor Degree in Information Systems
  4. Geographical Information Science

Geographical Information Science

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).

General characterization

Code

100021

Credits

6.0

Responsible teacher

Hours

Weekly - Available soon

Total - Available soon

Teaching language

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

Prerequisites

None.

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

·       On-line material and references provided by the teachers

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%)
2ª phase: Non-continuous evaluation
  • 2nd phase exame (100%)
 

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.