Sign up to save your podcasts
Or
Share FOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan Baston
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
FOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan Baston
Dan Baston presents “exactextract,” a library designed for efficient raster/vector zonal statistics analysis. This tool accurately transfers information from raster datasets to vector datasets, addressing limitations in existing methods.
Highlights
🌍 Dan Baston is a software engineer focusing on open-source projects, primarily for federal government consulting.
🛠️ “exactextract” simplifies the process of zonal statistics, especially for large and complex datasets.
📊 The library efficiently handles raster data, making it suitable for diverse applications like climate modeling.
⚡ It improves speed and accuracy compared to traditional methods like point-in-polygon tests.
📈 Benchmarks indicate significant performance improvements over existing tools like QGIS and Python’s raster stats.
🧠 The library allows for population-weighted calculations, enhancing analysis relevance.
📦 Recently released a Python interface, expanding accessibility for users.
For more content like this check out www.projectgeospatial.com
#GIS #OpenSource #DataAnalysis #Raster #Vector #ZonalStatistics #ClimateModeling
View all episodes
By Project Geospatial
5
33 ratings
Dan Baston presents “exactextract,” a library designed for efficient raster/vector zonal statistics analysis. This tool accurately transfers information from raster datasets to vector datasets, addressing limitations in existing methods.
Highlights
🌍 Dan Baston is a software engineer focusing on open-source projects, primarily for federal government consulting.
🛠️ “exactextract” simplifies the process of zonal statistics, especially for large and complex datasets.
📊 The library efficiently handles raster data, making it suitable for diverse applications like climate modeling.
⚡ It improves speed and accuracy compared to traditional methods like point-in-polygon tests.
📈 Benchmarks indicate significant performance improvements over existing tools like QGIS and Python’s raster stats.
🧠 The library allows for population-weighted calculations, enhancing analysis relevance.
📦 Recently released a Python interface, expanding accessibility for users.
For more content like this check out www.projectgeospatial.com
#GIS #OpenSource #DataAnalysis #Raster #Vector #ZonalStatistics #ClimateModeling
More shows like Project Geospatial
View all
The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
112 Listeners