Free online courses, tutorials and tools

Create custom maps with ggplot in R - GIS in R

In this lesson we break down the steps to create a map in R using ggplot.

Course: earth-analytics, last updated: 09 Aug 2017

Use tidytext to text mine social media - twitter data using the twitter API from rtweet in R

This lesson provides an example of modularizing code in R.

Course: earth-analytics, last updated: 09 Aug 2017

Get twitter data using the twitter API from rtweet in R

This lesson provides an example of modularizing code in R.

Course: earth-analytics, last updated: 09 Aug 2017

Introduction to using Twitter Social media data in R

This module explores the use of social media data - specifically Twitter data to better understand the social impacts and perceptions of natural disturbances and other events. Working with social media requires the use of... read more.

lessons: 3, last updated: 09 Aug 2017

Introduction to programmatic data access in R

In this module, we introduce various ways to access, download and work with data programmatically. These methods include downloading text files directly from a website onto your computer and into R, reading in data stored... read more.

lessons: 8, last updated: 10 Jul 2017

Don't Repeat Yourself: Remove repetition in your code using functions in R.

This module will overview the basic principles of DRY - don't repeat yourself. It will then walk you through incorporating functions into your scientific programming to increase efficiency, clarity, and readability. read more.

lessons: 6, last updated: 15 Jun 2017

Visualizing hourly traffic crime data for Denver, Colorado using R, dplyr, and ggplot

This tutorial demonstrates how to access and visualize crime data for Denver, Colorado.

Calculating the area of polygons in Google Earth Engine

This tutorial demonstrates polygon creation, perimeter and area calculations, and visualization using the JavaScript interface to Google Earth Engine.

Introduction to the Google Earth Engine Python API

This tutorial outlines the process of installing the Google Earth Engine Python API client.