Geographical Information Systems 2

Recommended Prerequisites

Basic notions of Geographical Information Systems

Teaching Methods

This module is taught by introducing and explaining the fundamental and advanced notions in the theoretical courses, and then applying these notions in problem solving practical sessions using a GIS. At the end of the module the students will need to present a project where they apply their acquired knowledge in a new situation. 

Learning Outcomes

After completing this teaching unit, the student will:

• Be aware of the usefulness of Geographic Information Systems (GIS) and the possible applications to earth and environmental sciences

• Understand and master the concepts of geographic and projected coordinate systems, the different data types and associated databases

• Be able to use basic and advanced functions of a GIS (e.g., perform spatial data analysis, automatic data processing, produce a complex map)

• Be able to collect data required to implement a GIS in the domain of earth, planetary, and environmental sciences.

Work Placement(s)

No

Syllabus

 

1 - Fundamental GIS concepts

 

1.1 - Definitions and generalities

 

1.2 - Geodesy : concepts of geographic and projected coordinate systems

 

1.3 - Spatial data types

 

1.4 - Metadata

 

1.5 - Map layout

 

1.6 - The GIS softwares on the market

 

1.7 - The data producers

 

1.8 - The online GIS

 

 

2 - Advanced spatial data analyses

2.1 - Project properties and its coordinate

reference system (CRS)

 

2.2 - Addition of spatial data

 

2.3 - Digitization – creation of vector layers

 

2.4 - Field calculations

 

2.5 - Georeferencing

 

2.6 - Attribute and spatial queries

 

2.7 - Joints

 

2.8 - Layout – the print composer

 

 

3 - Geodatabases

 and data processing automation

 

3.1-  Geodatabases

 

3.1.1 ‒ Generalities

 

3.1.2 - SQL notions

 

3.1.3 - SpatiaLite

 

3.2 - Automation of data processing

 

3.2.1 - Batch processing

 

3.2.2 - The graphical modeler (model builder/ArcGIS)

 

3.2.3 - Python scripting

Assessment Methods

Assessment
Frequency: 40.0%
Resolution Problems: 60.0%

Bibliography

N/A