FavoriteLoadingBookmark this content

DataCamp – Working with Geospatial Data in R No ratings yet.

Link to Content:
DataCamp Working with Geospatial Data in R

Created/Published/Taught by:
Charlotte Wickham
Nick Carchedi
Sumedh Panchadhar
Tom Jeon

Content Found Via:

Free? Partially: Some Free Content, Some Paid

Cost Range:
$0.00 - $29.00

Tags: / / /
Content Type: /

Difficulty Rating:

No ratings yet.

From DataCamp:

“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.

This course will introduce you to spatial data by starting with objects you already know about, data frames, before introducing you to the special objects from the sp and raster packages used to represent spatial data for analysis in R. 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 course 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.”

This course consists of four chapters:

  1. Basic mapping with ggplot2 and ggmap
  2. Point and polygon data
  3. Raster data and color
  4. Data import and projections

Recommended Prerequisites: none specified; some familiarity with R

Go to Content: DataCamp – Working with Geospatial Data in R