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FOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan Baston

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内容由Project Geospatial提供。所有播客内容(包括剧集、图形和播客描述)均由 Project Geospatial 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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

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Manage episode 461965953 series 3234430
内容由Project Geospatial提供。所有播客内容(包括剧集、图形和播客描述)均由 Project Geospatial 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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

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