Spatial Simulation Technologies (ILV)

Back

Course lecturer:

Ass.-Prof. Mag. Dr.

 Peter Mandl
Course numberM-SIM3.08
Course codeSpSimTec
Curriculum2011
Semester of degree program Semester 3
Mode of delivery Presencecourse
SPPW2,0
ECTS credits3,0
Language of instruction English

The goal of this course is to show how to use geographical models for simulation of geographical processes. This is done by discussing the basic concepts, workflows and the special methods of geosimulation illustrated by interactive examples.

The goal of this course is to show how to use geographical models for simulation of geographical processes. This is done by discussing the basic concepts, workflows and the special methods of geosimulation illustrated by interactive examples.

Basic GIS knowledge, basic understanding of programming

Basic GIS knowledge, basic understanding of programming

Geosimulation brings together a diversity of theories and techniques,

offering a unique perspective that traditional simulation has commonly

lacked: a view of spatial phenomena as a result of the collective

dynamics of interacting objects. Such objects are often represented at

the scale of individual households, people, and units of real estate and at time-scales approaching "real time". This course will give a

comprehensive overview about different methods of geosimulation like

cellular automata, multi-agent systems, finite element methods, particle systems, and spatial micro simulation. In the lab exercises students explore the potential of these geosimulation techniques in order to support the solution of spatial decision support problems.

After an introduction to geosimulation and introductory examples the following methods are presented and exercises in using them are given:

- Cellular Automata

- Multi Agent Systems (http://mas.uni-klu.ac.at/)

- Fuzzy Modelling

- Knowledge Based Methods e.g. expert systems, ontologies (http://harmonisa.uni-klu.ac.at/)

- Genetic algorithms

- Neural networks

Geosimulation brings together a diversity of theories and techniques, offering a unique perspective that traditional simulation has commonly lacked: a view of spatial phenomena as a result of the collective dynamics of interacting objects. Such objects are often represented at the scale of individual households, people, and units of real estate and at time-scales approaching "real time". This course will give a comprehensive overview about different methods of geosimulation like cellular automata, multi-agent systems, system dynamic modelling, networks and spatial micro simulation. In the lab exercises students explore the potential of these geosimulation techniques in order to support the solution of spatial decision support problems. After an introduction to geosimulation and introductory examples a selction of the following methods are presented and exercises in using them are given: - Cellular Automata - Multi Agent Systems (http://mas.uni-klu.ac.at/) - Fuzzy Modelling or Knowledge Based Methods e.g. expert systems, ontologies (http://harmonisa.uni-klu.ac.at/) - Genetic algorithms, Neural networks - System Dynamic Modelling - Network Analysis

Is given during the course.

discussions, reading

Presentations, discussions, reading, experiments using programs

Final examination
Geosimulation project, presentation, written report

Exercises, a geosimulation project, presentations, written final report