GIS Modeling processos

Year
1
Academic year
2023-2024
Code
02015339
Subject Area
Geographic Information Technologies, Environment and Spatial Planning
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
2nd Cycle Studies - Mestrado

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

- Mastering the concepts and good practices in GIS modelling processes;

- Understand the principles and modelling techniques for dynamic analysis of spatial phenomena;

- Understand the potential and limitations of modelling processes in supporting spatial decision;

- Select and apply different methodologies of geosimulation according to the objectives, context and characteristics of the problems involved.

Work Placement(s)

No

Syllabus

1. Introduction and definition of concepts

1.1. The model and the objectives of the modelling process

1.2. Modelling in GIS: basic aspects to consider

1.3. The results of the modelling: calibration and verification


2. Modelling and analysis of dynamic phenomena

2.1. Modelling and Spatial Analysis

2.2. Modelling and Geostatistics

2.3. Modelling and Decision Processes


3. Entropy, complexity and spatial information

3.1. Spatiotemporal dynamics and scale of analysis

3.2. Dynamic processes of geospatial modelling (geossimulação)

3.2.1. Cellular Automata (CA)

3.2.2. Agent Based Modelling (ABM)

3.2.3. Artificial Neural Networks (ANN).

Head Lecturer(s)

Albano Augusto Figueiredo Rodrigues

Assessment Methods

Assessment
Project: 50.0%
Research work: 50.0%

Bibliography

BATTY, M.; MORPHET, R.; MASSUCI, P.; STANILOV, K. (2012)- "Entropy, complexity and Spatial Information" In CASA Working Paper, Nº 185.

HEPPENSTALL, A. J.; CROOKS, A. T.; SEE, L. M.; BATTY, M. (ed.) (2012)- Agent-Based Models of Geographical Systems, Springer Science, Dordrecht, 759 p.

JOHNSTON, K. M. (2013)- Agent Analyst. Agent-Based Modeling in ArcGIS, ESRI Press, Redlands, CA, 549 p.

ROCHA, F. J. P. S. P. (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.

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

WAINWRIGHT, J.; MULLIGAN, M. (2013)- Environmental Modelling. Finding simplicity in complexity, John Wiley & Sons (2ª Ed.), Chichester, 475 p.