Course unit, curriculum year 2023–2024
DATA.ML.420
Spatial Data Analysis, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Course code
DATA.ML.420Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Hyon-Jung Kim-OllilaResponsible teacher:
Jaakko PeltonenResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
This course covers a wide range of statistical models and methods for data that are collected at different spatial locations (and at different times).
These data are called spatial (or spatio-temporal) data, which are prevalent in many disciplines such as forestry, climatology, geology, environmental and health sciences, and economy, etc.
Topics covered include the geostatistical techniques of kriging and variogram analysis, point process methods for spatial case control, and area-level analysis.
Learning outcomes
Learning material
Studies that include this course
Completion option 1
NOT IMPLEMENTED DURING ACADEMIC YEAR 2021-2022
Completion of all options is required.
Participation in teaching
No scheduled teaching
Exam
No scheduled teaching