Chapter Three - Spatial Vector Data Processing in Python

In this chapter, you will learn how process vector data including how to reproject data to a different coordinate reference system (CRS), clip data to a specified boundary, and join data based on spatial location and attributes.

Learning Objectives

After completing this chapter, you will be able to:

• Identify the CRS of a spatial dataset and reproject it to another CRS in Python.
• Clip a spatial vector point and line layer to the spatial extent of a polygon layer in Python using geopandas.
• Dissolve polygons based upon an attribute in Python using geopandas.
• Join spatial attributes from one shapefile to another in Python using geopandas.

What You Need

You will need a computer with internet access to complete this lesson and the spatial-vector-lidar data subset created for the course.

Download Spatial Lidar Teaching Data Subset data

or using the earthpy package: et.data.get_data("spatial-vector-lidar")