Cartographic modeling & Multi-Criteria Evaluation (MCE)
Point pattern analysis
Geostatistics, interpolation and Geographically Weighted Regression (GWR)
Space syntax and urban morphology
Cellular automata and agent-based modeling
Spatial, spatio-temporal and trajectory data mining
The course is designed to introduce the principles of spatial analysis and advanced concepts/techniques which are used to explore, analyze and model geospatial data.
Spatial analysis is the crux of GIS: the means of adding value to geospatial data, and turning data into information. Therefore, the goals of this course are 1) to teach students the fundamental concepts and advanced techniques of spatial analysis in lectures, 2) to allow students to experience these concepts and apply these techniques to solve realistic model problems in laboratory exercises, and 3) to develop deaper understanding for these concepts and techniques by critically evaluating prominent related scientific articles in seminars. In addition to enforcing concepts and techniques, the laboratory work and seminar will also prepare students to design, undertake, and critically evaluate GIS projects, and the seminars will strengthen the students' public speaking skills as they present scientific articles to their peers and will improve the students' scientific comprehension, design, presentation, and writing skills as they read, summarize, and review the seminar articles.
If the course is discontinued, students may request to be examined during the following two academic years.
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
This course replaces the course F1E5580
