Data Intensive Course Lab Materials & Courses

Courses

Course Materials

Course materials and labs that focus on computational approaches.

Intro to Social Media Data in R

This teaching module is a part of the earth-analytics course. Last taught: 19 Apr 2017

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. Last updated: 12 May 2017

lessons: 3, presentations 0

Introduction to programmatic data access in R

This teaching module is a part of the earth-analytics course. Last taught: 05 Apr 2017

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. Last updated: 12 Apr 2017

lessons: 8, presentations 0

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

This teaching module is a part of the earth-analytics course. Last taught: 08 Mar 2017

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. Last updated: 02 May 2017

lessons: 6, presentations 0

Clouds, shadows & cloud masks in R

This teaching module is a part of the earth-analytics course. Last taught: 01 Mar 2017

In this module we will learn more about dealing with clouds, shadows and other elements that can interfere with scientific analysis of remote sensing data. read more. Last updated: 04 May 2017

lessons: 3, presentations 0

Refine plots & add variables to Rmarkdown reports

This teaching module is a part of the earth-analytics course. Last taught: 01 Mar 2017

This tutorial set covers some basic things you can do to refine your plots in Rmarkdown document. It covers plotting in grids, adding titles to plotRGB() plots and refining the width and height of plots... read more. Last updated: 01 May 2017

lessons: 4, presentations 0

Understanding fire using spectral remote sensing data

This teaching module is a part of the earth-analytics course. Last taught: 22 Feb 2017

This teaching module overviews the use of spectral remote sensing data to better understand fire activity. In it we will review spectral remote sensing as a passive type of remote sensing and how to work... read more. Last updated: 01 May 2017

lessons: 6, presentations 0

Uncertainty and metadata

This teaching module is a part of the earth-analytics course. Last taught: 15 Feb 2017

In this module, we will discuss the concept of uncertainty as it relates to both remote sensing and other data. We will also explore some metadata to learn how to understand more about our data.... read more. Last updated: 12 May 2017

lessons: 8, presentations 0

Spatial data in R and remote sensing uncertainty

This teaching module is a part of the earth-analytics course. Last taught: 15 Feb 2017

This tutorial covers the basic principles of LiDAR remote sensing and the three commonly used data products: the digital elevation model, digital surface model and the canopy height model. Finally it walks through opening lidar... read more. Last updated: 11 May 2017

lessons: 8, presentations 0

Review: Factors in R

This teaching module is a part of the earth-analytics course. Last taught: 08 Feb 2017

In this module, we will review some key concepts associated with both time series data and raster data in R. read more. Last updated: 11 May 2017

lessons: 3, presentations 0

LiDAR Raster Data R

This teaching module is a part of the earth-analytics course. Last taught: 01 Feb 2017

This tutorial covers the basic principles of LiDAR remote sensing and the three commonly used data products: the digital elevation model, digital surface model and the canopy height model. Finally it walks through opening lidar... read more. Last updated: 08 May 2017

lessons: 8, presentations 0

Markdown R

This teaching module is a part of the earth-analytics course. Last taught: 01 Feb 2017

This module covers adding images to a rmarkdown report, using ggmap to create basemaps in r / rmarkdown and how to overlay raster data on top of a hillshade. read more. Last updated: 12 May 2017

lessons: 3, presentations 0

Work with Sensor Network Derived Time Series Data in R

This teaching module is a part of the earth-analytics course. Last taught: 25 Jan 2017

This module covers handling with data fields in R so you can efficiently plot time series data using ggplot(). We will use the as.DATE() function to convert dates stored in a data.frame to a date... read more. Last updated: 21 Apr 2017

lessons: 6, presentations 0

Get to Know R

This teaching module is a part of the earth-analytics course. Last taught: 25 Jan 2017

This module introduces the R scientific programming language. We will work with precipitation and stream discharge data for Boulder County to better understand the R syntax, various data types and data import and plotting. read more. Last updated: 21 Apr 2017

lessons: 7, presentations 0

Link data, processing and results using R Markdown and Knitr

This teaching module is a part of the earth-analytics course. Last taught: 06 Dec 2016

This module reviews how to use R Markdown and knitr to create and publish dynamic reports that both link analysis, results and documentation and can be easily updated as data and methods are modified /... read more. Last updated: 21 Apr 2017

lessons: 6, presentations 1

Understand Disturbance With Data - Flooding and Erosion

This teaching module is a part of the earth-analytics course. Last taught: 06 Dec 2016

This module introduces the concept of using data to Understand a natural phenomenon. In this case we will explore flooding and erosion. We use a combination of Google earth imagery, NOAA precipitation data and USGS... read more. Last updated: 21 Apr 2017

lessons: 3, presentations 3

Setup R, RStudio and Your Working Directory

This teaching module is a part of the earth-analytics course. Last taught: 04 Dec 2016

This module walks you through getting R and RStudio setup on your laptop. It also introduces file organization strategies. read more. Last updated: 21 Apr 2017

lessons: 5, presentations 0

Introduction to Open Science Teaching Activity

A hands-on activity where students review a project for readability, organization, etc and identify key elements that would make it more usable and readily reproducible. read more. Last updated: 12 Dec 2016

lessons: 22, presentations 0