Summary

In this chapter, we discussed the different types of geospatial data you will encounter, including vector, raster, and temporal data types. We learned about the supporting formats that usually accompany geospatial datasets to make them easier to work with, including spatial indexes and metadata. We examined the storage convenience and processing power of geodatabases as well as the delivery efficiency of geospatial web services. We also discussed the immersive visualizations and in-depth modeling possible with 3D geospatial data.

You now have the background needed to work with common types of geospatial data. You also know about the common traits of geospatial datasets that will allow you to evaluate unfamiliar types of data and identify key elements that will drive you toward which tools to use when interacting with this data.

In the next chapter, we’ll examine the modules and libraries that you can use to work with geospatial datasets. We will learn about the...