Mapping crime data in R: An introduction to GIS and spatial data Online
Crime data often contains spatial components. As a result, analyses of crime data can create patterns that are clearly linked to geography. Naturally, putting the data or analysis on a map makes a lot of sense. Unfortunately, if you have never matched statistical data to spatial data then you may not know how easy it can be to make beautiful data maps!
Presenter: Nadia Kennar, UK Data Service
More specifically, in this session, we will:
- use R packages such as ggplot, sf and tmaps
- briefly explore open-source crime data
- introduce how to download, import and use spatial data in the form of shapefiles
- demonstrate how to join crime data to shapefiles
- introduce classification methods
- use census data to accurately map crime rate
- briefly explore the use of multivariate analyse methods
This workshop is suitable for intermediate (or higher) users of R but there is no need to have experience with GIS software or spatial data. Users should be comfortable with how to set the working directory in R, how to read in data, how to write basic R functions and how to save scripts and output files.
Level: (higher) intermediate
Experience of R: Yes. R and Rstudio must be already installed and working
Knowledge of GIS/Spatial Data: None
Target audience: Researchers/anyone interested in crime and spatial data
Coding material and further instructions will be available mid-January via our GitHub page
This event will be livestreamed on our UK Data Service YouTube channel but the chat will be disabled.