Chapter 10. Putting It All Together
In this book we have touched all the important aspects of geospatial analysis. And we've used a variety of different techniques in Python to analyze different types of geospatial data. In this final chapter, we will draw on nearly all of the topics we have covered to produce one real-world product that has become very popular: A GPS route analysis report.
These reports are common to dozens of mobile-app services, GPS watches, in-car navigation systems, and other GPS-based tools. A GPS typically records location, time, and elevation. From these values we can derive a vast amount of ancillary information about what happened along the route on which that data was recorded. Fitness apps including RunKeeper.com, ...
Get Learning Geospatial Analysis with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
