Cartographic Methods and Geographic Information Systems

Recommended Prerequisites

Skills concerning GIS em Geospatial database.

Teaching Methods

Expository (presentation of lectures) and participatory (students may submit short papers on any topic).

Learning Outcomes

The main objectives of this curricular unit are:

- Develop the student skills in cartographic representation, geographic information systems and geospatial analysis;

- Select and apply techniques of Spatial Data Analysis and Geostatistics;

- Recognize and articulate GIS-based data and Remote Sensing techniques;

- Apply different modeling techniques according to geospacial phenomenological specificity, the complexity of models and uncertainty.

Work Placement(s)

No

Syllabus

1-Cartographic Methods

1.Map documents, institutions, tools and mechanisms regulating the use and cartographic production;

2.The representation of space: Coordinate Systems, Projections and Datum;

3.Cartography in the Digital Era: Spatial Data Infrastructure and Metadata.

4.GIS Free software and cartographic production.

 

2-GIS and Remote Sensing

1.Geographical databases and the structure of a GIS Project;

2.Concepts and fundamentals of Remote Sensing;

3.Sensors and Remote Sensing satellites.;

4. The digital image processing of Remote Sensing.

 

3 -Spatial Data Analysis and Geostatistics

1.Geostatistics and Spatial Models;

2.Exploratory Spatial Data Analysis;

3.Testing Hypothesis and Spatial Autocorrelation;

4.Regression Models for Spatial Interpolation.

 

4 -Geossimulation

1.Modeling of dynamic systems;

2.Complexity, convergence and emergence in the context of geossimulation;

3.Dynamic technics for geospatial modeling;

4.Spatiotemporal dynamics, complexity and modeling based on agents.

Head Lecturer(s)

José Gomes dos Santos

Assessment Methods

Assessment
Research work: 100.0%

Bibliography

Cauvin, C.; Escobar, F.; Serradj, A. (2010). New Approaches in Thematic Cartography (Volume 3), ISTE - Wiley, London-New Jersey, 291 p

Gaetan, C.; Guyon, X. (2010). Spatial Statistics and Modeling, Springer, 297 p

Hengl, Tomislav (2009). A practical guide to geostatistical mapping, Amsterdam, 270 p

Heppenstall, A. J.; Crooks, A. T.; See, L. M.; Batty, M. (ed.) (2012). Agent-Based Models of Geographical Systems, Springer Science, Dordrecht, 759 p

Lillesand, T. M.; Kiefer, R. W.; Chipman, J. W. (2004). Remote sensing and image interpretation, John Wiley & Sons (5ª Ed.), New York

Rocha, F. (2012). Sistemas Complexos, Modelação e Geossimulação da Evolução de Padrões de Uso e Ocupação do Solo, Diss. Doutoramento, Lisboa, 954p

Timpf, S.; Laube, P. (2013). Advances in Spatial Data Handling: Geospatial Dynamics, Geosimulation and Exploratory Visualization, Springer-Verlag, Berlin, 221p

Webster, R.;Oliver, M.A. (2007). Geostatistics for Environmental Scientists, John Wiley & Sons, Ltd(2ª Ed).