Geographic and Spatial Modelling Information Systems


a) Dominate the specific vocabulary of Science and Geographic Information Systems (GIS)
b) Understand the fundamentals of geographic information
c) Understand the fundamentals of geographic modeling
d) Explore data structures for spatial problems analysis
e) Develop spatial analysis methodologies
f) Develop and apply spatial analysis processes in technological platforms

General characterization





Responsible teacher

Rui Pedro de Sousa Pereira Monteiro Julião


Weekly - Available soon

Total - 280

Teaching language





Burrough, P. & Mcdonnell, R. (1998). Principles of Geographical Information Systems (2nd ed.). Oxford, UK: Oxford Univ Press.

Julião, R.P. (2001). Tecnologias de Informação Geográfica e Ciência Regional: Contributos Metodológicos para a Definição de Modelos de Apoio à Decisão em Desenvolvimento Regional. Lisboa: UNL.

Longley, P., Goodchild, M., Maguire, D. & Rhind, D. (2005). Geographical Information Systems and Science (2nd ed.). New York, NY: John Wiley & Sons.

Matos, J.L. (2008). Fundamentos de Informação Geográfica (5ª ed.). Lisboa: LIDEL.
Tomlinson, R. (2013). Thinking About GIS: Geographic Information System Planning for Managers (5th ed.). Redlands, CA: ESRI Press.

Teaching method

Teaching is based on FCSH e-learning platform where all materials and recommended reading are available all materials and recommended reading.
A Welcome presentation is available at the beginning of the semester with the CU objectives, the program, the general bibliography, the evaluation criteria, and the scheduling of activities and evaluation. For each LU exists an introductory presentation that contains its goals, contents, specific bibliography and a detailed description of the application exercises.
There is a weekly chat session in which students can interact with teachers in real time. The session log is available on the platform. Participation is optional, not counting for evaluation.

Evaluation method

The evaluation is done continuously in each LU (40% of the assessment), by conducting individual work (essays and handling of technological platforms) and participation in discussion forums (e-learning system), and a final exam in person (60% of the assessment).(100%)

Subject matter

1) Introduction
1.1) Basics and concepts of Geographic Information Science and Systems
1.2) Application examples
2) The foundations of Geographic Modeling
2.1) Models and data structures
2.2) From reality to models
2.3) Modeling Languages
3) Principles Spatial Analysis in Geographic Information Systems
3.1) Spatial analysis tools
3.2) Project development and implementation
4) Operation and Application
4.1) Design and modeling
4.2) Data acquisition, validation and structuring
4.3) Data exploration
4.4) Output production and dissemination.


Programs where the course is taught: