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.
Choose semester and 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.
Content and learning outcomes
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.
Course disposition
Lectures 20h
Laborations 36h
Seminar 6h
Written examination
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
Recommended prerequisites
Equipment
Literature
Annonseras vid kursens start
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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)
Opportunity to complete the requirements via supplementary examination
When supplementing, bonus points collected at previous courses do not apply
Opportunity to raise an approved grade via renewed examination
With explicit e-mail request to and approval from examiner no later than 1 month before exam. In the case of approved grade, bonus points accumulated at previous courses do not apply.
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 web
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web AG2414