Geospatial Analysis with Python#

Geospatial analysis with Python

You’ll learn how to perform geospatial analysis for location-based decision making, covering:

  • Distance Calculation: Compute distances between various store locations and a reference point, such as the Empire State Building.
  • Data Visualization: Visualize store locations on a map using Python libraries like Folium.
  • Store Density Analysis: Determine the number of stores within a specified radius.
  • Proximity Analysis: Identify the closest and farthest stores from a specific location.
  • Decision Making: Use geospatial data to assess whether opening a new store is feasible based on existing store distribution.

Here are links used in the video:

Backward Geospatial Analysis With Excel Geospatial Analysis With Qgis Forward