Italy, Italy

A Visual analysis of spatial data - Mapping in Stata

online course
when 25 November 2022 - 25 November 2022
language English

The course opens with an overview of the peculiar characteristics of spatial data and the implications of such for the analysis of spatial data, before moving on to discuss the concept of spatial proximity and the centrality of this particular concept to spatial data analysis.

Target group

This course of particular interest for criminologists, social psychologists, sociologists, economists, epidemiologists and political scientists seeking to acquire the requisite tools required for the exploration and visualisation of spatial data in Stata.

Course aim

This course offers an introduction to the visual analysis of spatial data using the statistical software Stata. The course opens with an overview of the peculiar characteristics of spatial data and the implications of such for the analysis of spatial data, before moving on to discuss the concept of spatial proximity and the centrality of this particular concept to spatial data analysis. In the final session the focus turns, with the help of series of official and user written commands specifically developed for the visualization of spatial data in Stata, to the main mapping techniques implemented for the visual analysis of spatial data in Stata.

Fee info

EUR 0: Full-time students*: € 240.00
Ph.D. Students: € 300.00
Academic: € 340.00
Commercial: € 450.00


*To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status.


Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number.