Spatial Data Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Timo Friedel Mitze, University of Southern Denmark

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (14.30–18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English


‘Researchers are increasingly aware of the fact that ‘space matters’. The goal of the applied course is to equip participants with essential knowledge on methods and tools currently available in the field of spatial data analysis with a focus on ‘Spatial Statistics and Spatial Econometrics’. Besides presenting the general logic and methodological foundations of this research field, a distinct focus is set on developing skills to work with applied examples using the software package STATA. This shall enable participants to build up competencies for conducting own empirical projects in the research field.

The course is structured as follows: After a brief introduction of the historical evolution of spatial data analysis, different research settings in economics and related research fields are outlined, which call for the explicit use of spatial estimation techniques. Following this introduction, the concept of the spatial weighting matrix is introduced and statistical approaches to measure and visualize the degree of spatial dependence for a variable under study are presented.

Moving from univariate to multivariate modelling techniques, the course then presents estimation techniques for spatial models and applies this theoretical knowledge to hands-on applications for different datasets. Finally, as an outlook on future research possibilities, state-of-the-art concepts such as spatial panel data models will be presented.

At the end of the course, participants shall be able to detect the degree of spatial dependence in the available data and judge which spatial econometric models are most appropriate given the research question at hand. Moreover, participants will acquire the ability to estimate such models using the software package STATA.

Datasets, STATA do- and ado-files will be provided ahead of the course.”

Requirement of students: Basic knowledge in Stata. You may watch this online tutorial.


Recommended literature:

  • Anselin, L. (2010). Thirty years of spatial econometrics. Papers in Regional Science, 89(1), 3-25.
  • Sarafoglu, N., & Paelinck, J. (2008). On Diffusion of Ideas in the Academic World: The Case of Spatial Econometrics. Annals of Regional Science, 42(2), 487-500.

You have to register for the 12th International Research Workshop to participate in this course.