Course Outline
The course aims at the definition and use of spatial data. The first part of the course will be devoted to describing what are spatial data and which are the different types of spatial data. Then, the spatial autocorrelation indices which measure the strength of spatial interactions between observations will be introduced. An R example will be provided using EU-SILC data. The main part of the course will be focused on the study of areal data exploring the use and the types of spatial econometric models to study the spatial dependency. Geographically weighted regression and spatial models for categorical data will be also introduced. A case study using R will be proposed. An R script with some additional analysis will be also provided.
Files description
READ ME: Description of the three zip folders (Slides, Data and R code, Quiz) containinig the materials
Slides: folder containing the slides on 'Spatial Statistics' (Pdf) and the source file ?SlidesSpatialStatistics.Rmd' (R Markdown) with the comments to the slides
Data and R code: folder containing the data, the R code with all the R instructions, and other files for the case study
Quiz: folder containing multiple choice quizzes and R exercises