GIS & Geospatial Analysis with Python, Geopandas, and Folium
Mapping population density, flood risk, snow cover, monitoring air quality index, modelling and optimizing routes
4.12 (60 reviews)
3 398
students
4.5 hours
content
Jun 2024
last update
$64.99
regular price
What you will learn
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
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6036564
udemy ID
22/06/2024
course created date
27/06/2024
course indexed date
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