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  3. Visualizing Geospatial Data in Python

Exercise

Prepare to calculate distances

In this exercise you will prepare a GeoDataFrame called art_dist_meters with the locations of downtown art converted to meters using EPSG:3857. You will use art_dist_meters in the next exercise to calculate the distance of each artwork from the center of the Urban Residents neighborhood in meters.

The art data has been pre-loaded for you, along with urban_poly_3857 and center_point, the center point of the Urban Residents neighborhood. A geometry column called geometry that uses degrees has already been created in the art DataFrame.

Instructions

100 XP
  • Create a GeoDataFrame called art_dist_meters, using the art DataFrame and the geometry column from art. Set crs = {'init': 'epsg:4326'} since the geometry is in decimal degrees. Print the first two rows.
  • Now explicitly set the coordinate reference system to EPSG:3857 for art_dist_meters by using to_crs(). Print the first two rows again.
  • Add a column called center to art_dist_meters, setting it equal to center_point for every row .