本课程教你使用Python的Geopandas和Folium进行地理空间分析，涵盖交互式地图制作、人口密度、空气质量、洪水风险及路线优化等实用技能。适合地理信息系统初学者和数据分析师，通过实战案例快速掌握地图可视化与空间数据处理。
原始标题：GIS Geospatial Analysis with Python, Geopandas, and Folium
Published 6/2024
Created by Christ Raharja
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lectures ( 4h 15m ) | Size: 1.77 GB
Mapping population density, flood risk, snow cover, monitoring air quality index, modelling and optimizing routes
What you’ll 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
Requirements:
No previous experience in geographic information system is required
No previous experience in geospatial analysis is required
Basic knowledge in Python & geography
此处内容需要权限查看
会员免费查看
