A few weeks ago my partner shared a TED Talk with me that changed how I conceptualize data communication. In it Dr. Wanda Diaz Merced, an astronomer who lost her eyesight in her early twenties, discusses her journey back into science after this setback. A crucial technique helped her interpret hefty astronomy data sets- sonification. Sonification turns data into sound. It is analogous to data visualization, where both methods aim to communicate patterns and relationships within data clearly and efficiently.
Sometimes your GIS project needs some extra oomph. Maybe finding the data you need to understand deforestation in Brazil is giving you a headache. Or, you need to run a machine learning algorithm on 50 gigabytes of weather station data and your poor laptop is melting the finish off of your dining room table. Google Earth Engine (GEE) is here to help.
From the website, GEE’s purpose is to: Provide an interactive platform for geospatial algorithm development at scale Enable high-impact, data-driven science Make substantive progress on global challenges that involve large geospatial datasets GEE is designed to make large-scale GIS projects feasible, but is also suitable for smaller projects.