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FOSS4G NA 2024 - Scraping GeoSpatial Data from Web Maps - Peter Herman & Carina Hoyer
Peter Herman and Karina Hoyer discuss beginner-friendly methods for scraping geospatial data from web maps, including techniques using R and Google Sheets.
Highlights
š Introduction to web scraping for geospatial data presented by experts from NOC.
š ļø Overview of three scraping methods: HTML/XML queries, fetch requests, and undocumented APIs.
š Emphasis on transforming web map data into tabular datasets for analysis.
š Challenges of scraping dynamic web maps that load data upon user interaction.
š R and Google Sheets showcased as tools for accessing and cleaning scraped data.
š Explanation of difficulties with web maps requiring authentication for data access.
š§© 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
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By Project Geospatial
5
33 ratings
Peter Herman and Karina Hoyer discuss beginner-friendly methods for scraping geospatial data from web maps, including techniques using R and Google Sheets.
Highlights
š Introduction to web scraping for geospatial data presented by experts from NOC.
š ļø Overview of three scraping methods: HTML/XML queries, fetch requests, and undocumented APIs.
š Emphasis on transforming web map data into tabular datasets for analysis.
š Challenges of scraping dynamic web maps that load data upon user interaction.
š R and Google Sheets showcased as tools for accessing and cleaning scraped data.
š Explanation of difficulties with web maps requiring authentication for data access.
š§© 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
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