Skip to main content
HomeR

Course

Visualizing Geospatial Data in R

IntermediateSkill Level
4.5+
44 reviews
Updated 07/2020
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Start Course for Free

Included withPremium or Teams

RData Visualization4 hr15 videos58 Exercises5,000 XP28,867Statement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Course Description

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.

Prerequisites

Introduction to RIntroduction to Data Visualization with ggplot2
1

Basic mapping with ggplot2 and ggmap

Start Chapter
2

Point and polygon data

Start Chapter
3

Raster data and color

Start Chapter
4

Data import and projections

Start Chapter
Visualizing Geospatial Data in R
Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll Now

Don’t just take our word for it

*4.5
from 44 reviews
73%
18%
5%
2%
2%
  • Kyle
    19 days

  • Yining
    about 1 month

  • Sergio Antonio
    about 1 month

  • Antanas
    about 2 months

  • travis
    about 2 months

    This course is just to old. All the calling of stamen, stadiamap and google all require paid apis. The SP package isnt being used by anyone. Positive is the intro to tigris. The course should be updated to focus on the SF, Tigris, NaturalEarth.

  • Thanaphon
    about 2 months

Kyle

Sergio Antonio

Antanas

    Join over 17 million learners and start Visualizing Geospatial Data in R today!

    Create Your Free Account

    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.