Summary: Maps are an incredibly useful way to visualize and explore information. In this presentation, we'll cover some of the basics of working with spatial data in data science applications, including key concepts for working with spatial data, basic cartographic principles, and some clear examples for getting started in R, Google Earth, and other open source geospatial software platforms.
Presenter: Keely Roth, PhD
Bio: Keely is a geographer and remote sensing scientist with over 10 years' experience working with imagery and geospatial data. The majority of her research career has been focused on evaluating sensor capabilities for mapping and monitoring natural ecosystems. Recently, she joined the Geospatial Research Team in the Data Science Division of the The Climate Corporation, a precision agriculture analytics company. She loves working with pixels and spatial data to make useful, informative maps.