Learning outcomes

• Master spatial data analysis' methodologies (spatial, dynamic and thematic aspects)

• Master the use of basic spatial data analysis tools

• Be able to use a GIS software

 

Goals

Acquire a knowledge of the GIS vocabulary and a global view of the possibilities offered by GIS in terms of acquisition, storage and analysis of spatial data, especially through different examples of GIS projects.

 

Content

  • Introduction to Geographical Information Systems
  • Raster and vector based data
  • Spatial Data sources
  • Data preparation
  • Spatial Analyses (spatial measures, overlays, mathematical operations, etc.)
  • Examples of GIS projects

 

Exercices

Content of exercices:

  • Familiarization with the ArcGis software and map production
  • Importation and data handling
  • Analyses of vectorial data
  • Analyses in raster format
  • Integrative exercises and problem resolution project

Assessment method

Written exam (theory; 40% of final mark) and practical exam on a computer (60% of final mark).

Theoretical and practical parts are two different learning activities. Each part can therefore be validated once the mark of 10/20 is reached.

The evaluation is similar for the second session.

Sources, references and any support material

Recommended books:

  • Demers M.N. 2000. Fundamentals of GIS. New York, Wiley & sons.
  • Heywood I., Cornelius S., and Carver S. 2006. An Introduction to GIS (3rd edition). Harlow, Pearson Education Ltd.
  • Longley P., Goodchild M., Maguire D., and Rhind D. 2007. GIS and Science(2nd edition). Chichester, Wiley & Sons.

Language of instruction

Français
Training Study programme Block Credits Mandatory
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 0 4
Standard 1 4
Standard 1 4
Standard 1 4
Standard 1 4
Standard 1 4
Standard 1 4
Standard 2 4
Standard 2 4
Standard 2 4
Standard 2 4
Standard 2 4