Learning outcomes

• Master various methods for spatial data analysis in vector and raster format

• Use basic spatial data analysis tools

• Work with 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
  • Geographical information and spatial data types
  • Data management and processing systems
  • Data entry and preparation
  • Spatial data analyses
  • Examples of projects

 

Table of contents

  • Introduction
  • Geographical information and spatial data types
  • Data management and processing systems
  • Data entry and preparation
  • Spatial data analyses
  • Examples of 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

Teaching methods

The theoretical course is accompanied by practical sessions in a computer lab (QGIS software).

Assessment method


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


The evaluation is similar for the second session.

Theory and practice are two separate learning activities (LA). Students who fail one LA must retake both LAs during the following academic year.

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

French
Training Block Credits Mandatory
Bachelor in Geography : General 2 4 Yes
Bachelor in Geology 2 4 Yes