Exploring Geospatial Data Using GeoPandas, Geoplot and Contextily

GeoPandas is a Python project used for reading geospatial datasets in the form of coordinate geometries, such as points, lines, and polygons. In this project, we will read geographical datasets available in multiple formats and create primary and stacked maps using GeoPandas. GeoPandas relies on Matplotlib as its foundation for map creation. Therefore, we will also explore Geoplot — a visualization library specifically designed for GeoPandas — to create basic and advanced plots.

Additionally, we will delve into Contextily, another map visualization library commonly used with GeoPandas. Contextily enables using various tile sets as backgrounds for maps, enhancing their appearance and information visualization. Finally, we will create advanced maps, such as choropleths, kernel density maps, and cartograms, utilizing the capabilities of Geoplot.