logoClassRank

Curtin University

Areas of Study

Spatial Modelling 310

  • 302527
  • Semester 2
  • 25.0
Average Rating
Difficulty Level

The spatial modelling process and applications. Models based on purpose, methodology or logic. Map algebra and spatial modelling - data driven and knowledge driven models, fuzzy logic method and conditional probability. Dempster-Shafer theory of evidence. Modelling spatial information for decision making - multi-attribute and multi-objective. Definition of factors, constraints, criterion maps and weights. -- Course Website

Prerequisites: 11711 (v.4)<br/> Spatial Analysis 281<br/> <br/> or any previous version



Post an anonymous review of this course

Overall experience
Difficulty Level
POST