Welcome to Earth Data Science !
This site contains open, tutorials and course materials covering topics including data integration, GIS and data intensive science. Currently, we have 104 lessons available on our site with more under development!
Online courses
Newest lessons
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: 18 Sep 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: 17 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: 17 Aug 2017
Recent course lesson sets
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: 17 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: 17 Aug 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: 17 Aug 2017
Recent tutorials
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.
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Learn
Check out our data tutorials. Learn about earth analytic focused courses and programs we are currently developing.
Get Tools
Check out our tools for R, Python and high performance computing environments that help you efficiently process data.
Participate
Learn about upcoming workshops and training events. Come to our weekly data meetup or suggest a topic for us to cover!