https://video.osgeo.org/videos/watch/f36daa06-0dbd-443d-a754-c32be5a1f296 Peter Herman and Karina Hoyer discuss beginner-friendly methods for scraping geospatial data from web maps, including techniques using R and Google Sheets. Highlights 🌐 Introduction to web scraping for geospatial data presented by experts from NOC. 🛠️ Overview of three scraping methods: HTML/XML queries, fetch requests, and undocumented APIs. 📊 Emphasis on transforming web map data into tabular datasets for analysis. 🔍 Challenges of scraping dynamic web maps that load data upon user interaction. 📈 R and Google Sheets showcased as tools for accessing and cleaning scraped data. 📉 Explanation of difficulties with web maps requiring authentication for data access. 🧩 Tips for finding hidden data in developer tools and using XPath queries in Google Sheets. For more content like this check out www.projectgeospatial.com #WebScraping #GeospatialData #DataScience #RStats #Python #GoogleSheets #FOSS4GNA2024 Sat, 30 May 2026 02:40:22 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.osgeo.org https://video.osgeo.org/lazy-static/avatars/de841c88-3a57-45ac-9eff-a00237356bfc.png https://video.osgeo.org/videos/watch/f36daa06-0dbd-443d-a754-c32be5a1f296 All rights reserved, unless otherwise specified in the terms specified at https://video.osgeo.org/about and potential licenses granted by each content's rightholder.