Skip to main content
HomePythonVisualizing Geospatial Data in Python

Visualizing Geospatial Data in Python

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Start Course for Free
4 hours14 videos51 exercises
19,229 learnersTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
GroupTraining 2 or more people?Try DataCamp For Business

Loved by learners at thousands of companies


Course Description

One of the most important tasks of a data scientist is to understand the relationships between their data's physical location and their geographical context. In this course you'll be learning to make attractive visualizations of geospatial data with the GeoPandas package. You will learn to spatially join datasets, linking data to context. Finally you will learn to overlay geospatial data to maps to add even more spatial cues to your work. You will use several datasets from the City of Nashville's open data portal to find out where the chickens are in Nashville, which neighborhood has the most public art, and more!
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.

In the following Tracks

Data Visualization in Python

Go To Track
  1. 1

    Building 2-Layer Maps : Combining Polygons and Scatterplots

    Free

    In this chapter, you will learn how to create a two-layer map by first plotting regions from a shapefile and then plotting location points as a scatterplot.

    Play Chapter Now
    Introduction
    50 xp
    Plotting a scatterplot from longitude and latitude
    50 xp
    Styling a scatterplot
    100 xp
    Extracting longitude and latitude
    100 xp
    Plotting chicken locations
    100 xp
    Geometries and shapefiles
    50 xp
    Creating a GeoDataFrame & examining the geometry
    100 xp
    Plotting shapefile polygons
    100 xp
    Scatterplots over polygons
    50 xp
    Geometry
    50 xp
    Plotting points over polygons - part 1
    100 xp
    Plotting points over polygons - part 2
    100 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Data Visualization in Python

Go To Track

datasets

Building permits issued in Nashville in 2017Council district GIS dataNashville neighborhoods GIS dataPublic artworks in NashvilleSchool district GIS dataSchools in Nashville

collaborators

Collaborator's avatar
Greg Wilson
Collaborator's avatar
Adrián Soto
Mary van Valkenburg HeadshotMary van Valkenburg

Data Science Program Manager at Nashville Software School

See More

What do other learners have to say?

Join over 14 million learners and start Visualizing Geospatial Data in Python today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.