GeoPandas is an open-source project that makes it easy to visualize geospatial data in Python. It extends the data types used by Pandas to allow spatial information to be mapped onto a geographic map.
The primary use for GeoPandas is the visualization of statistical data on a geographic map. Furthermore, we can use Geopandas to map information to other geographic objects, such as bodies of water or mountains.
If you want to visualize spatial data, you might consider displaying it on a map. We can use color-overlay on geographic maps to highlight differences between geographical regions. An example is covid-19 cases. We can use a world map and color countries depending on their case count. Assuming there are differences between the countries, it is easy for the viewer to identify regions with a high case count and where it is lower.
Geometric operations are carried out by “Shapely”. Shapely reads the geoinformation in the form of shapefiles. We can find Shapefiles on the web for various geo objects, including as countries, cities, or political regions. Two sources for shapefiles are:
The spreading of COVID-19 has led to an increased interest in displaying region and country-specific information on geographic heat maps. Geographic heat maps use color shadings to visualize data that includes a spatial component and refers, for example, to countries, cities, towns, mountains, etc. The color shades are defined in a color palette and determined … Read more
