Udemy – GIS & Geospatial Analysis with Python, Geopandas, and Folium 2024-6

Udemy – GIS & Geospatial Analysis with Python, Geopandas, and Folium 2024-6 Downloadly IRSpace

Apr 18, 2025 - 04:36 Updated: Apr 21, 2025 - 10:52

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Udemy – GIS & Geospatial Analysis with Python, Geopandas, and Folium 2024-6

GIS & Geospatial Analysis course with Python, Geopandas, and Folium. This is a comprehensive, project-based course where you will learn step-by-step how to perform spatial analysis techniques with a special focus on GIS for urban planning. You will carry out projects such as population density mapping, air quality monitoring, flood hazard mapping, snow cover mapping, modeling and route optimization, and use Python libraries such as Pandas, Geopandas, Folium, Geocoder and Ipyleaflet. you will This course perfectly combines spatial analysis with urban planning, providing an ideal opportunity to practice programming skills while enhancing your spatial knowledge.

What you will learn in the GIS & Geospatial Analysis with Python Geopandas and Folium course

How to display an interactive map and topographic map using Geopandas, Folium and Ipyleaflet
How to do proximity analysis to find nearby cities
How to extract geographic coordinates from the map
How to do geocoding and reverse geocoding
How to calculate the distance between two places
How to analyze and calculate population density
How to visualize population density on an interactive map
How to analyze air quality index
How to monitor air quality in multiple locations
How to analyze and calculate flood risk
How to map flood risk on an interactive map
How to analyze snowfall, snow depth and weather data
How to map snow cover using Folium
How to model and optimize the route using Open Street Map Network
How to model and optimize bus routes using Dijkstra’s algorithm
Basic principles of spatial analysis and its uses
Spatial analysis workflow. This section includes data collection, preprocessing, cleaning, exploratory data analysis, spatial analysis, and modeling.
Spatial data visualization methods such as coverplate maps, heat maps, 3D maps, flow maps, point maps and cartogram maps

Who is this course suitable for?

People who are interested in learning geographic information system and its applications
People who are interested in using spatial analysis techniques to improve urban planning