Environment, GIS and Spatial Modeling

Recommended Prerequisites

Students should have solid knowledge of geomatics at the user level, in particular relating to the handling of graphic and alphanumeric information in a GIS environment.

Teaching Methods

Lectures and theoretical-practical presentation and discussion of the syllabus, complemented with practical classes for application of acquired concepts..

Learning Outcomes

- Reflect on the role of New Geographic Information Technologies in contemporary society;

- Idealize and implement Multicriteria analysis models applied to spatial analysis;

- Idealize and implement Probabilistic Analysis models with geographical data;

- Develop analytical models of physical accessibility following network models.

Work Placement(s)

No

Syllabus

1. Geographic Information Science and Technology and (neo) Geography.

2. Environmental Multicriteria GIS Analysis: application to natural hazards.

3. Spatial Modeling Probabilistic: application of predictive models in geo-archeology.

4. Modelling and analysis of physical accessibility.

Head Lecturer(s)

José Gomes dos Santos

Assessment Methods

Assessment
Research work: 50.0%
Project: 50.0%

Bibliography

Kanevski, Mikhail (ed) [2008]- Advanced Mapping of Environmental Data, ISTE Ltd and John Wiley & Sons, Inc., London, 313 p.

Malczewski, Jacek [1999]- Gis and multicriteria decision analysis, John Wiley & Sons, New York, 392 p.

Mehrer, Mark W.; Wescott, Konnie L. [2006]- GIS and Archaeological Site Location Modeling, CRC Press, Boca Raton, 454 p.

Munier, Nolberto [2011]- A Strategy for Using Multicriteria Analysis in Decision-Making: A Guide for Simple and Complex Environmental Projects, Springer-Verlag, Berlin, 298 p.

Parker, Robert Nash; Asencio,Emily K. [2008]- GIS and Spatial Analysis for the Social Sciences: Coding, Mapping, and Modeling, Routledge, New York, 246 p.

Rocha, Fernando Jorge Pedro da Silva Pinto da [2012]- Sistemas Complexos, Modelação e Geosimulação da Evolução de Padrões de Uso e Ocupação do Solo, Dissertação de Doutoramento, Universidade de Lisboa (FL), Lisboa, 954 p.