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Awesome GitHub RepositoriesGeospatial Tile Processors

Tools for converting between geographic coordinates and tile representations for spatial analysis.

Distinct from Tiled Processing: Nothing in the shortlist covers geographic coordinate-to-tile conversion for spatial analysis.

Explore 3 awesome GitHub repositories matching data & databases · Geospatial Tile Processors. Refine with filters or upvote what's useful.

Awesome Geospatial Tile Processors GitHub Repositories

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  • prestodb/prestoprestodb 的头像

    prestodb/presto

    16,711在 GitHub 上查看↗

    Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

    Converts between geographic coordinates and tile representations to support map-based indexing and spatial analysis.

    Javabig-datadatahadoop
    在 GitHub 上查看↗16,711
  • osgeo/gdalOSGeo 的头像

    OSGeo/gdal

    5,942在 GitHub 上查看↗

    GDAL 是一个 MIT 许可的开源转换器库,它提供了一个统一的抽象数据模型,用于读取和写入数百种文件格式的地理空间栅格和矢量数据。它作为一个基础地理空间数据转换库,通过单一、一致的接口实现对多种地理空间数据格式的访问。 该库通过命令行实用程序公开其核心功能,允许用户在不同格式之间转换、处理地理空间数据。坐标转换引擎处理空间参考系统之间的转换,而格式驱动程序插件系统在运行时加载特定格式的读写逻辑。虚拟文件系统层提供跨本地文件、HTTP、云存储和压缩归档的统一 I/O 访问,栅格块缓存管理内存中的切片缓存以减少 I/O 操作。 GDAL 支持读取和写入栅格和矢量地理空间数据,其矢量特征迭代器可以单独流式传输特征,而无需将整个数据集加载到内存中。该项目通过其广泛的格式支持,实现了不同地理空间软件生态系统之间的数据交换,从而促进了地理空间互操作性。

    Streams vector features individually without loading entire datasets into memory for efficient processing.

    C++
    在 GitHub 上查看↗5,942
  • mapbox/tippecanoemapbox 的头像

    mapbox/tippecanoe

    3,026在 GitHub 上查看↗

    Tippecanoe is a command-line tool used to generate optimized vector tiles for web maps. It converts large-scale geospatial datasets, including GeoJSON, CSV, and Geobuf files, into binary vector tiles or MBTiles SQLite databases. The project is designed to maintain map performance and visual quality across different zoom levels. It achieves this through geospatial data downsampling, which includes simplifying geometries and thinning point density to prevent tile overcrowding and keep tile sizes within specific limits. The tool provides extensive data transformation capabilities, such as attri

    Converts between geographic coordinates and tiled representations for mapping data to the correct tile locations.

    C++c-plus-plusgeojsonvector-tiles
    在 GitHub 上查看↗3,026
  1. Home
  2. Data & Databases
  3. Geospatial Tile Processors

探索子标签

  • Shell-Based ProcessingUsing OS shell commands to process geospatial tiles or features. **Distinct from Geospatial Tile Processors:** Focuses on the integration of shell commands into the geospatial tile processing pipeline.
  • Vector Tile Feature Transformation1 个子标签Modifying, filtering, and merging geospatial features specifically during the tiling process. **Distinct from Geospatial Tile Processors:** Distinct from general processors; focuses on the transformation of features within the vector tile pipeline.