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FOSS4G NA 2024 - Scraping GeoSpatial Data from Web Maps - Peter Herman & Carina Hoyer
Manage episode 461965965 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Peter Herman and Karina Hoyer discuss beginner-friendly methods for scraping geospatial data from web maps, including techniques using R and Google Sheets. Highlights ๐ Introduction to web scraping for geospatial data presented by experts from NOC. ๐ ๏ธ Overview of three scraping methods: HTML/XML queries, fetch requests, and undocumented APIs. ๐ Emphasis on transforming web map data into tabular datasets for analysis. ๐ Challenges of scraping dynamic web maps that load data upon user interaction. ๐ R and Google Sheets showcased as tools for accessing and cleaning scraped data. ๐ Explanation of difficulties with web maps requiring authentication for data access. ๐งฉ 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
362 episodes
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Manage episode 461965965 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Peter Herman and Karina Hoyer discuss beginner-friendly methods for scraping geospatial data from web maps, including techniques using R and Google Sheets. Highlights ๐ Introduction to web scraping for geospatial data presented by experts from NOC. ๐ ๏ธ Overview of three scraping methods: HTML/XML queries, fetch requests, and undocumented APIs. ๐ Emphasis on transforming web map data into tabular datasets for analysis. ๐ Challenges of scraping dynamic web maps that load data upon user interaction. ๐ R and Google Sheets showcased as tools for accessing and cleaning scraped data. ๐ Explanation of difficulties with web maps requiring authentication for data access. ๐งฉ 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
362 episodes
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Similar to Project Geospatial
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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