If you spend any time working with maps and spatial data, having a fundamental understanding of coordinate systems and map projections becomes necessary. It’s the foundation of how spatial data and maps work. These areas invariably evoke trepidation and some angst, even in the most seasoned map professional. And rightfully
The catch phrase “everything happens somewhere” is increasingly common these days. That “somewhere” translates into a location on the Earth; a latitude and longitude. When one of these “somewhere’s” is combined with many other “somewhere’s”, you quickly have a robust spatial data set that becomes actionable with the right analytic
SAS Visual Analytics supports region maps for Country, US states, and provinces out-of-the-box. These work well for small scale maps covering the world, a continent, or a single country. However, other regions are often needed. Beginning in version 8.3, VA supports custom polygons to display regions such as sales territories,
In this post, we continue our discussion of geography variables, the foundation of Visual Analytics Geo maps. This time we will look at Custom Coordinates. As with any statistical graph, understanding your data is key. But when using Custom Coordinates for geographic maps, this understanding becomes even more important. Use
Creating a map with SAS Visual Analytics begins with the geographic variable. This blog post explains the first type of geography variable that VA supports: predefined. Future posts will cover the other two types of geography variables in VA: custom coordinates and custom polygons.