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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
MTTS1 Spatial Data-analysis 5 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Advanced studies
Matematiikan ja tilastotieteen tutkinto-ohjelma
School of Information Sciences

Learning outcomes

The primary objective is for students to be able to distinguish different types of spatial data (geostatistical, areal, point process), quantify appropriate spatial dependence/association, and apply the classical methods as well as advanced techniques to different spatial data.

General description

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.

Enrolment for University Studies

Enrolment time has expired


Hyon-Jung Kim-Ollila, Teacher responsible

Homepage URL


26-Oct-2016 – 7-Dec-2016
Wed 26-Oct-2016 - 7-Dec-2016 weekly at 10-12, Pinni A2089
26-Oct-2016 , Main building A4
30-Nov-2016 at 12 –16 , ML B1084, midterm exam
Mon 31-Oct-2016 - 5-Dec-2016 weekly at 12-14, Pinni B1083
Wed 2-Nov-2016 - 7-Dec-2016 weekly at 12-14, Pinni A2089
2-Nov-2016 , Pinni ML40 (B0040)
9-Nov-2016 , Linna ML50
23-Nov-2016 , ML B1084
30-Nov-2016 at 12 –16 , ML B1084, midterm exam
Fri 9-Dec-2016 at 12-14, ML B1084


Numeric 1-5.

Evaluation criteria

Modes of study

- participation in course work: lectures, exercises, exam