Spatial Statistics in R
Updated on
Course overview
- Provider
- Datacamp
- Course type
- Free trial availiable
- Deadline
- Flexible
- Duration
- 4 hours
- Certificate
- Available on completion
- Course author
- Barry Rowlingson
Description
Learn how to make sense of spatial data and deal with various classes of statistical problems associated with it.
Everything happens somewhere, and increasingly the place where all these things happen is being recorded in a database. There is some truth behind the oft-repeated statement that 80% of data have a spatial component. So what can we do with this spatial data? Spatial statistics, of course! Location is an important explanatory variable in so many things - be it a disease outbreak, an animal's choice of habitat, a traffic collision, or a vein of gold in the mountains - that we would be wise to include it whenever possible. This course will start you on your journey of spatial data analysis. You'll learn what classes of statistical problems present themselves with spatial data, and the basic techniques of how to deal with them. You'll see how to look at a mess of dots on a map and bring out meaningful insights.
Similar courses
-
Flexible deadline
-
18 hours
-
Certificate
-
Flexible deadline
-
12 hours
-
Certificate
-
Flexible deadline
-
48 hours
-
Certificate
-
English language
-
Recommended provider
-
Certificate available