Lectures 20h
Laborations 36h
Seminar 6h
Written examination
AG2414 Spatial Analysis 7.5 credits
This course presents students with the fundamental concepts and advanced techniques of spatial analysis. GIS and statistical techniques are discussed for managing, analyzing and modeling spatial data. Students will gain practical experience in publicly presenting spatial analysis topics.
This course also intends to prepare students for applying spatial analysis techniques to handle geospatial data in various fields and provide students opportunities to gain practical experience of undertaking GIS projects.
The course is composed of lectures, projects and seminars. Each new topic is introduced at a lecture. Associated with each topic are an exercise and a seminar
Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Spring 2026 Start 13 Jan 2026 programme students
- Course location
KTH Campus
- Duration
- 13 Jan 2026 - 13 Mar 2026
- Periods
- P3 (7.5 hp)
- Pace of study
50%
- Application code
60166
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Min: 5
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus AG2414 (Spring 2022–)Headings with content from the Course syllabus AG2414 (Spring 2022–) are denoted with an asterisk ( )
Content and learning outcomes
Course disposition
Course contents
- Cartographic Modeling and Multi-Criteria Evaluation
- Spatial Statistics, Interpolation and Kriging
- Space Syntax and Urban Morphology
- Cellular Automata and Agent-based Modeling
- Geographical Data Mining
Intended learning outcomes
The course is designed to familiarize students with the principles of spatial analysis and advanced concepts/techniques used to explore, analyze and model geospatial data.
Literature and preparations
Specific prerequisites
For admitted students to the Master of Science in Civil Engineering and Urban Management (CSAMH) or the Master of Science in Transport and Geoinformation Technology (TTGTM):
AG2412 Geovisualisation or an equivalent course.
For other students:
- A completed bachelor’s degree in civil engineering, urban planning, geomatics, geography, engineering physics, computer science, statistics, economics, and/or mathematics, including at least 6 university credits (hp) in each of the following or their equivalents: Programming, Linear Algebra, Calculus in One Variable, and Probability & Statistics
- Documented proficiency in English corresponding to English B
- AG2412 Geovisualisation or equivalent course
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- LAB2 - Laboratory Work, 3.0 credits, grading scale: P, F
- SEM1 - Seminar, 1.5 credits, grading scale: P, F
- TEN2 - Written examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F
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.
Other requirements for final grade
Written exam (TEN2; 3 cr)
Seminar (SEM1; 1,5 cr)
Approved laboratory reports (LAB2; 3 cr)
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Built Environment
Education cycle
Second cycle