Summary
Real-time data is an exciting way to do new types of geospatial analysis, which has been made possible only recently by the advances in several different technologies, including web mapping, GPS, and wireless communications. In this chapter, you learned how to access raw feeds for real-time location data, how to acquire a subset of a real-time raster data, how to combine different types of real-time data into a custom map analysis product using only Python, and how to build client-server geospatial applications to update a GIS in real time.
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 the final chapter, we will combine everything that you've learned so far into a complete geospatial application, which applies the algorithms and concepts to a realistic scenario.
