Spatial data are common in many fields like environmental monitoring and public health, however communicating spatial data is difficult. In this course your will learn how statistics is used to model, interpret and visualise spatial data.
This course will be useful for those who work with spatial data across a variety of fields. This course will suit anyone who is looking to learn about modelling and visualising their spatial data as well as those who would like to refresh what they have learned before. No prior knowledge of spatial statistics is required.
Course aim
After this course you are able to:
- Load spatial datasets into R and produce exploratory visualisations and summaries.
- Identify spatial trends and autocorrelation.
- Distinguish between areal unit and geostatistical data and apply corresponding methodology appropriately.
- Interpret R output and produce high quality visualisations of results.
Fee info
EUR 600: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
For more information click "LINK TO ORIGINAL" below.