Matt OakleyMatt Oakley has contributed to the materials listed below. Matt worked with the Analytics Hub as an undergraduate intern in 2016 while pursuing his degree in computer science.
Course lessons are developed as a part of a course curriculum. They teach specific learning objectives associated with data and scientific programming. Matt Oakley has contributed to the following lessons:
This tutorial outlines the process of installing the Google Earth Engine Python API client.
This tutorial shows how to make interactive maps in Python with folium.
This tutorial explains how members of Earth Lab can gain access to the PetaLibrary at the University of Colorado Boulder. It also outlines the process for setting up Globus to transfer files between endpoints (e.g., your local machine and the PetaLibrary).
This tutorial shows how to compute and plot contour lines for elevation from a raster DEM (digital elevation model).
This tutorial shows how to compute the slope and aspect from a digital elevation model in Python.
This tutorial shows how to compute raster statistics like the mean and variance around buffered spatial points in Python.
This tutorial shows how to use rpy2 in a Jupyter notebook to run both R and Python.
This tutorial demonstrates how to access SMAP data, and how to generate raster output from this data.