IN THIS CHAPTER
Working with spatial databases, data formats, map projections, and coordinate systems in GIS
Analyzing spatial data with proximity, overlay, and reclassification methods
Using QGIS to add and display spatial data
Advanced statistical methods are great tools when you need to make predictions from spatial datasets, and everyone knows that data visualization design can help you present your findings in the most effective way possible. That’s all fine and dandy, but wouldn’t it be great if you could combine the two approaches?
I’m here to tell you that it can be done. The key to putting the two together involves envisioning how one could map spatial data — spatial data visualization, in other words. Whether you choose to use a proprietary or open-source application, the simplest way to make maps from spatial datasets is to use Geographic Information Systems (GIS) software to help you do the job. This chapter introduces the basics of GIS and how you can use it to analyze and manipulate spatial datasets.