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