1. Learn
    2. /
  2. Courses
    3. /
  3. Working with Geospatial Data in Python

Exercise

Convert to common CRS and save to a file

As we have seen in the previous exercises, both datasets are using a different Coordinate Reference System (CRS). This is also illustrated by the first plot in this exercise (for which the code is already provided in the script): both datasets are about the same region, so they should normally overlap in their coordinates; but they don't.

For further analyses in the rest of this chapter, we will convert both datasets to the same CRS, and save both to a new file. To ensure we can do distance-based calculations, we will convert them to a projected CRS: the local UTM zone 35, which is identified by EPSG:32735 (https://epsg.io/32735).

The mining sites (mining_sites) and national parks (national_parks) datasets are already loaded, and GeoPandas and matplotlib are imported.

Instructions 1/2

undefined XP
    1
    2
  • Convert both datasets (mining_sites and national_parks) to EPSG:32735. Name the results mining_sites_utm and national_parks_utm.
  • Try again to visualize both datasets on a single map. Do both datasets now overlap?