Leah Wasser

Leah Wasser has contributed to the materials listed below. Leah is the director of the Earth Analytics Education Initiative at Earth Lab and maintains this website.

Course modules

Course material modules are sets of materials developed to teach specific learning objectives in a course setting.

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 API's to access data, text mining to extract useful information from non-standard text and then finally analysis using text-mining workflows

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

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 in text format from a website, into a data.frame in R and finally, accessing subsets of particular data using REST API calls in R.

collaborators: Leah Wasser, Carson Farmer, Max Joseph

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.

Refine plots & add variables to Rmarkdown reports

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 to optimize space.

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

Understanding fire using spectral remote sensing data

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 with space-borne vs airborne remote sensing data in R. We cover raster stacks in R, plotting multi band composite images, calculating vegetation indices and creating functions to make the processing more efficient in R.

collaborators: Leah Wasser, Megan Cattau

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

Uncertainty and metadata

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.

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.

Spatial data in R and remote sensing uncertainty

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 derived raster data in R / RStudio

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

Lidar raster data R

This module introduces the raster spatial data format as it relates to working with lidar data in R. We will cover how to open, crop and classify raster data in R. Also we will cover three commonly used lidar data products: the digital elevation model, digital surface model and the canopy height model.

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

Intro to lidar data

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 derived raster data in R / RStudio

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

Basemaps in R

This module covers using ggmap to create basemaps in r / rmarkdown and how to overlay raster data on top of a hillshade.

collaborators: Leah Wasser

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.

Get to know R

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.

collaborators: Leah Wasser, Data Carpentry

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.

Clean code & getting help

This module covers how to write easier to read, clean code. Further is covers some basic approaches to getting help when working in R. Finally it reviews how to install QGIS - a free and open source GIS tool - on your computer.

collaborators: Leah Wasser, Data Carpentry

lessons: 0, presentations 0

Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.
Leah Wasser hasn't contributed to any course modules... yet.

Data tutorials

Nothing to list here yet!