Overview
Context
Where should you buy a house to get the most value for your money? Your first step might be to make a map, but spatial analysis in R can be intimidating because of the complicated objects the data often live in.
You'll learn to read, explore, and manipulate these objects with the big payoff of being able to use the tmap package to make maps.
By the end of the Visualizing Geospatial Data in R course at Data Camp you will have made maps of property sales in a small town, populations of the countries of the world, the distribution of people in the North East of the USA, and median income in the neighborhoods of New York City.
Programme Structure
Chapters
- Basic mapping with ggplot2 and ggmap
- Point and polygon data
- Raster data and color
- Data import and projections
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Information Technology (IT) Geographical Information Systems (GIS) Data Science & Big Data View 24 other Short Courses in Geographical Information Systems (GIS) in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Introduction to R
- Introduction to Data Visualization with ggplot2
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
Improve page content