markdown_files/Geospatial_Analysis_with_Python.md

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title: Geospatial Analysis with Python
original_url: >-
  https://tds.s-anand.net/#/geospatial-analysis-with-python?id=geospatial-analysis-with-python
downloaded_at: '2025-06-08T23:22:52.295346'

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:

• Jupyter Notebook
• Learn about the pandas package and video
• Learn about the numpy package and video
• Learn about the folium package and video
• Learn about the geopy package and video

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Geospatial Analysis with QGIS](#/geospatial-analysis-with-qgis)