NASA Center for Climate Simulation

Project Description

Creating Python utility code designed to read the Natural Earth Database, SEDAC (Socioeconomic Data and Applications Center) Data Sets, and other databases. These databases will be read to create maps for use as context in future SVS visualizations with features including:

• Names of cities with label size and markers proportional to the city’s population, only larger cities drawn when zoomed out, allow users to select color, size, and font, and keep labels consistent with distortion.
• Labels of other types of physical and cultural data such as river names, glaciated areas, roads, countries, and coral reefs.