Summary
Real-time data is an exciting way to do new types of geospatial analysis only recently made possible by the advances in several different technologies including web mapping, GPS, and wireless communications. In this chapter you learned the following:
How to access raw feeds for real-time location data
How to acquire a subset of a real-time raster data source
How to combine different types of real-time data into a custom map analysis product using only Python
As with the previous chapters, these examples contain building blocks that will let you build new types of applications using Python that go far beyond the typical popular and ubiquitous JavaScript-based mash up.
In Chapter 10, Putting It All Together, the final chapter, we will combine everything we've learned so far into a complete geospatial application which applies the algorithms and concepts in a realistic scenario.
