kashenfelter / geospatial-1

R package for data used in the Working with Geospatial Data in R DataCamp course

geospatial

An R package with the data sets used in the DataCamp course Working with Geospatial Data in R.

Installation

geospatial isn't on CRAN but you can get it with:

# install.packages("devtools")
devtools::install_github("cwickham/geospatial")

Usage

Datasets in this package have the same names as those in the course. For example, to replicate the very first plot in the first video:

library(geospatial)
library(ggplot2)
?sales # Chapter 1 sales data
head(sales)

ggplot(sales, aes(lon, lat)) + 
  geom_point()

Contents

This package contains the data sets corresponding to each chapter in the course as listed below.

Chapter 1:

• sales - point data on sales in Corvallis
• ward_sales - sales summarized at the ward level
• preds - a grid of predictions over Corvallis

Chapter 2:

• countries_sp
• countries_spdf
• tiny_countries_spdf

Chapter 3:

• pop
• pop_by_age
• prop_by_age
• migration
• land_cover

Chapter 4:

• neighborhoods
• nyc_income
• water
• income_grid

Citations

If you use the data in this package please cite both this package and the original data source as listed in the relevant help file.

Data generation

If you are interested in how the data sets were constructed you'll find the scripts in the data-raw directory.