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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
PCP05/NAM-VII Spatial Regression Analysis and Spatial Econometrics 5 ECTS
Periods
Period I Period II Period II Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Master's Degree Programme in Public Choice
School of Social Sciences and Humanities

Learning outcomes

This course combines lecture format and computing lab exercises. The focus of the course is on spatial statistical methods and analysis, not Geographic Information Systems (GIS). Application of spatial statistical methods in lab sessions will enable participants to pursue a broad range of social and behavioral science research. Software emphasis will be given to GeoDa and GeoDaSpace for exploratory spatial data analysis and modeling. Some familiarity with this software is helpful but is not a prerequisite. Detailed R and Pysal resource information will be provided and discussed in labs, and participants will learn how to interpret, visualize and map model output.

Enrolment for University Studies

Enrolment time has expired

Teachers

Erik Sieberg, Teacher responsible

Teaching

10-Jan-2017 – 4-Apr-2017
Exercises
Tue 10-Jan-2017 - 4-Apr-2017 weekly at 18-20, Pinni B building computer room ML 40, No class: 28.2 and 14.3

Further information

Course in North American Studies: NAM-VII Methodology