GIS & Geospatial Analysis with Python, Geopandas, and Folium

GIS & Geospatial Analysis with Python, Geopandas, and Folium

Mapping population density, flood risk, snow cover, monitoring air quality index, modelling and optimizing routes



Sub Category

  • Data Science

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Objectives

  • Learn how to display interactive map and topographic map using Geopandas, Folium, and Ipyleaflet
  • Learn how to conduct proximity analysis for finding nearby cities
  • Learn how to extract geographic coordinates from map
  • Learn how to perform geocoding and reverse geocoding
  • Learn how to calculate distance between two locations
  • Learn how to analyze and calculate population density
  • Learn how to visualize population density on interactive map
  • Learn how to analyze air quality index
  • Learn how to monitor air quality in multiple locations
  • Learn how to analyze and calculate flood risk
  • Learn how to map flood risk on interactive map
  • Learn how to analyze snowfall, snow depth, and climate data
  • Learn how to map snow cover using Folium
  • Learn how to model and optimize route using Open Street Map Network X
  • Learn how to model and optimize bus routes using Dijkstra algorithm
  • Learn the basic fundamentals of geospatial analysis and its use cases
  • Learn geospatial analysis workflow. This section covers data collection, preprocessing, cleaning, exploratory data analysis, spatial analysis, and modeling
  • Learn about geospatial data visualization methods like choropleth maps, heatmaps, 3D maps, flow maps, point maps, and cartogram maps


Pre Requisites

  1. No previous experience in geographic information system is required
  2. No previous experience in geospatial analysis is required
  3. Basic knowledge in Python & geography


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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