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3622349 Spatial statistics, 5 Cp 
Code 3622349  Validity 01.01.1950 -
Name Spatial statistics  Abbreviation SPT 
Credits5 Cp  Date of expiry  
TypeIntermediate Studies Subject0390 Statistics 
ClassStudy Unit  Hours  
Study right   Grading0-5 
Recommended scheduling 
   
Organisation Computer Science (J,K) 

Description
Learning outcomes 

The course is an introduction to spatial statistics. We will gradually explore the spatial modelling tools from the essential probability concept to the implementation of the spatial techniques used in the field of geostatistics and for the analysis of spatial point patterns as well. Therefore, the course provides students with the necessary knowledge about the foundation of spatial models, from basic construction of the geostatistical models to various applications of these models by manipulating real-world spatial datasets. Students will be able to understand the special features of spatial datasets from the modelling point of view, and to learn the core techniques to investigate spatial phenomena.

 
Content 

Introduction to the models and methods used for geostatistics and analysis spatial point patterns. Real-data examples and exercises using R-software.

 
Modes of study 

Lectures (28 h), Labs (14 h), independent work (93 h)

 
Teaching methods 

Lectures and exercises sessions are held in the classroom at Joensuu campus. Students from Kuopio campus are participating in the course interactively through video, dataprojector and Smartboard. 

 
Study materials 

Lecture notes based on selected parts of

  • Illian, Penttinen, Stoyan and Stoyan, 2008: Statistical Analysis and Modelling of Spatial Point Patterns
  • Diggle and Ribeiro, 2007: Model-based geostatistics.
 
Evaluation criteria 

The grading scale of the course is 0-5.  It is based on the performance in both of the final exam and the exercises. The contribution of the exercises to the grade is 50%. Alternatively, the grade is based on the final exam only.

 
Prerequisites 

Probabilistic inference for data science 1 and 2, R-course, or corresponding knowledge

 
Time 

Spring 2021

 
Offering data 

The course is offered to everyone. Useful also for PhD students who need statistical methods in their research.

 
Further information 

Teaching language: English

 


Letter (J, K) in front of the name of the course/exam indicates the campus on which teaching or exam takes place: J = Joensuu, K = Kuopio.

Present and future teaching
Functions Name Type Cp Teacher Timetable
  (JOENSUU): Spatial statistics  Lecture and exercise course  Adil Yazigi  08.03.21 -18.06.21
  (KUOPIO): Spatial statistics  Lecture and exercise course  Adil Yazigi  08.03.21 -18.06.21

Future exams
No exams