# Spatial Data Formats for Earth Data Science - Intro to earth data science textbook course module

Welcome to the first lesson in the Spatial Data Formats for Earth Data Science module. There are two primary spatial data formats that are useful for earth data science, vector and raster. Learn about these two common spatial data formats for earth data science workflows.

## Chapter Five - Spatial Data Formats for Earth Data Science

In this chapter, you will learn about the two primary spatial data formats that are useful for earth data science, vector and raster.

After completing this chapter, you will be able to:

• Open spatial data in Python, including shapefiles using Geopandas - gpd.read_file() and raster data using Rasterio in Python.
• Plot spatial data in Python, including shapfiles using Geopandas - gpd.plot()and raster data using EarthPy.
• Describe the characteristics of 3 key vector data structures: points, lines and polygons.

## What You Need

Be sure that you have completed the previous chapter on text file formats.