Visualizing-Geospatial-Data-in-Python

https://app.datacamp.com/learn/courses/visualizing-geospatial-data-in-python

Building 2-layer maps : combining polygons and scatterplots

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.

LINK FOR THIS CHAP : https://campus.datacamp.com/courses/visualizing-geospatial-data-in-python/building-2-layer-maps-combining-polygons-and-scatterplots?ex=1

Creating and joining GeoDataFrames

You'll work with GeoJSON to create polygonal plots, learn about projections and coordinate reference systems, and get practice spatially joining data in this chapter.

LINK FOR THIS CHAP :https://campus.datacamp.com/courses/visualizing-geospatial-data-in-python/creating-and-joining-geodataframes?ex=1

GeoSeries and folium

First you will learn to get information about the geometries in your data with three different GeoSeries attributes and methods. Then you will learn to create a street map layer using folium.

LINK FOR THIS CHAP : https://campus.datacamp.com/courses/visualizing-geospatial-data-in-python/geoseries-and-folium?ex=1

Creating a choropleth building permit density in Nashville

In this chapter, you will learn about a special map called a choropleth. Then you will learn and practice building choropleths using two different packages: geopandas and folium.

LINK FOR THIS CHAP : https://campus.datacamp.com/courses/visualizing-geospatial-data-in-python/creating-a-choropleth-building-permit-density-in-nashville?ex=1