Chapter 5. Working with Geospatial Data in Python
In this chapter, we combine the Python libraries and geospatial data covered earlier to accomplish a variety of tasks. These tasks have been chosen to demonstrate various techniques for working with geospatial data in your Python programs; while in some cases there are quicker and easier ways to achieve these results (for example, using command-line utilities), we will create these solutions in Python so you can learn how to work with geospatial data in your own Python programs.
This chapter will cover:
Reading and writing geospatial data in both vector and raster format
Changing the datums and projections used by geospatial data
Representing and storing geospatial data within your Python programs
Performing geospatial calculations on points, lines, and polygons
Converting and standardizing units of geometry and distance
This chapter is formatted like a cookbook, detailing various real-world tasks you might want to perform and providing "recipes...
