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Visualizing Geospatial Data in R

Intermediate
Updated 12/2024
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
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RData Visualization4 hours15 videos58 exercises5,000 XP28,064Statement of Accomplishment

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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

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2

Point and polygon data

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3

Raster data and color

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4

Data import and projections

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Visualizing Geospatial Data in R
Course
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