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Import and plot raster data

In this exercise, we are going to use a raster dataset of the vegetation types map (available from https://www.wri.org). The raster values take a set of discrete values indicating the type of vegetation. Let's start with reading the data and plotting it together with the mining site data.

The mining sites dataset (mining_sites) is already loaded, and GeoPandas and matplotlib are already imported.

This exercise is part of the course

Working with Geospatial Data in Python

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Exercise instructions

  • Import the rasterio package.
  • Open the vegetation map geotiff file ("central_africa_vegetation_map_foraf.tif") and assign it to a variable src.
  • Plot the raster dataset using the rasterio.plot.show() function and add the mining site locations in red and marker size of 1.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import the rasterio package
____

# Open the raster dataset
src = rasterio.____("central_africa_vegetation_map_foraf.tif")

# Import the plotting functionality of rasterio
import rasterio.plot

# Plot the raster layer with the mining sites
ax = rasterio.plot.show(____)
mining_sites.plot(____)
plt.show()
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