ahmedkhaled8/visualizing-geospatial-data-in-python

This repository contains jupyter notebooks documenting my notes during the DataCamp course, Visualizing Geospatial Data in Python.

Visualizing Geospatial Data in Python

This repository contains jupyter notebooks documenting my notes during the DataCamp course, Visualizing Geospatial Data in Python. Please feel free to message me regarding anything wrongly written, not explained clearly, or any other issue.

Note: Make sure to follow this, this or this for installing geopandas as it is not quite straight-forward specially using pip. You may want to download specific versions of the dependensies that are compatable with eachother instead of the latest version of each dependency.

Contents:

00 - Building 2-layer maps : combining polygons and scatterplots

• Plotting data using latitude and longitude
• Shapefiles
• Geometry plotting

01 - Creating and joining GeoDataFrames

• GeoJSON and plotting with geopandas
• Projections and coordinate reference systems
• Spatial joins

02 - GeoSeries and folium

• GeoSeries attributes and methods
• Street maps with folium
• Creating markers and popups in folium

03 - Creating a choropleth

• What is choropleth?
• Choropleths with geopandas
• Choropleths with folium