14 个仓库
Tools for creating, transforming, and normalizing data structures to follow the GeoJSON standard.
Distinct from Data Processing: Candidates focus on general data processing or rendering, not the specific processing and transformation of GeoJSON data.
Explore 14 awesome GitHub repositories matching data & databases · GeoJSON Processing. Refine with filters or upvote what's useful.
Turf is a JavaScript and TypeScript geospatial analysis library and toolkit used for performing spatial analysis and geometric operations on GeoJSON data. It functions as a modular spatial engine that allows for the generation, manipulation, and classification of geographic datasets within web and node environments. The library provides a set of utility functions to programmatically create structured points, lines, and polygons. It enables the calculation of distances, areas, and geometric relationships between geographic coordinates, supporting both browser-based geospatial analysis and clie
Creates and transforms geographic data structures to ensure they follow the GeoJSON standard for mapping applications.
A/B Street is an open-source traffic simulation and urban planning tool that models how cars, bikes, and pedestrians move through real-world street networks. It imports data from OpenStreetMap to build detailed, lane-level road models, then runs discrete-event simulations to analyze travel times, delays, and congestion patterns across different infrastructure scenarios. The project provides an interactive map editor for modifying road geometry, lane configurations, traffic signals, and access restrictions, with full undo/redo support. Users can design low-traffic neighborhoods by placing moda
Accept a GeoJSON polygon, fetch fresh OpenStreetMap data via Overpass, and run the full import pipeline.
Folium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua
Colors geographic features based on columnar data using a color scale and configurable binning.
This project is an administrative GIS toolset that provides a comprehensive dataset of China's administrative divisions, including provinces, cities, districts, and townships. It functions as a coordinate system transformer and a boundary converter for transforming geographic data into standard formats. The toolset distinguishes itself through the ability to convert administrative boundary data between CSV, GeoJSON, Shapefiles, and SQL. It includes specialized utilities for coordinate system transformation between GCJ-02, BD-09, WGS-84, and CGCS2000 standards to ensure accuracy across differe
Extracts city center coordinates and vector boundary polygons to support spatial analysis and map rendering.
Countries is a static data repository that provides standardized country information based on the ISO 3166-1 schema. The dataset includes comprehensive attributes such as country names, codes, currencies, languages, borders, and area, stored as flat files in multiple formats including JSON, CSV, XML, and YAML without requiring a database or runtime server. The project includes a command-line tool that allows users to customize the dataset by including or excluding specific fields during export, enabling the creation of tailored country data outputs. Supplementary geographic assets such as Geo
Provides access to country GeoJSON outlines and SVG flag files for mapping and display.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Restricts image processing to user-defined polygon areas to reduce computation.
OpenDroneMap (ODM) is an open-source aerial drone photogrammetry pipeline that converts 2D images into georeferenced 3D models, orthophotos, point clouds, and digital elevation maps. At its core, the OpenDroneMap Processing Engine orchestrates a complete Structure-from-Motion workflow, from feature extraction through dense reconstruction and tiled output generation, purpose-built for transforming drone-captured imagery into geospatial data products. The toolkit distinguishes itself through GPU-accelerated SIFT feature extraction using CUDA-capable NVIDIA graphics cards, roughly doubling proce
Restricts reconstruction to a user-defined GeoJSON polygon by clipping point clouds and meshes against the boundary.
这是一个图形语法可视化库,用于通过将表格数据映射到视觉标记来构建图表。它作为一个 SVG 数据可视化工具和探索性数据分析 API,允许用户渲染复杂的可视化效果和地理地图。 该库具有一个 GeoJSON 地图渲染器,可将球坐标投影到二维像素空间,以及一个用于高效数据处理的 Apache Arrow 可视化接口。 其功能面涵盖通过分箱(binning)和分组进行数据转换、通过自动比例推断和配色方案应用进行视觉编码,以及生成小多重图(small multiples)。它支持在分层视图中渲染几何形状,并在服务器端环境中导出静态图像。
Limits the visual extent of marks to a specific area using GeoJSON objects or arbitrary polygons to censor data.
maptalks.js 是一个 JavaScript 地图渲染库和 Web 地图交互框架,用于在 Web 画布上渲染交互式 2D 和 3D 地理数据。它作为一个支持 3DTiles 和 GLTF 格式的 3D 地理空间引擎、GeoJSON 可视化工具和空间分析库。 该项目通过高性能渲染和动态地理空间动画脱颖而出,包括模拟交通流和为地图元素执行平滑视觉过渡的能力。它提供了用于交互式几何编辑的全面工具,允许用户直接在地图上绘制和修改矢量形状、圆形和贝塞尔曲线。 该库涵盖了广泛的能力,包括用于计算距离和面积的地理空间数据分析、坐标系转换和复杂的图层管理。它包括一个广泛的用户界面套件,带有信息窗口、上下文菜单和自定义地图控制面板。 数据集成通过 GeoJSON 工作流、远程资源获取以及将地图状态和几何图形导出为 JSON 的序列化工具进行处理。
Transforms GeoJSON data into renderable geometries with support for asynchronous processing.
Shapely 是一个用于操作和分析平面几何对象的几何分析库。它作为一个计算几何工具包、用于评估拓扑关系的谓词引擎以及矢量化几何处理器。 该库的特色在于其矢量化几何处理器,能够跨坐标数组执行多线程并行处理操作。它利用预处理几何优化来加速重复的包含和相交测试,并实现 R-tree 空间索引以实现高效的最近邻和相交几何检索。 该工具包涵盖了广泛的功能,包括集合论运算、仿射变换以及生成 Voronoi 图和 Delaunay 三角剖分等复杂结构。它提供了计算面积和长度等内在指标的工具,以及用于拓扑验证和几何修复的实用程序。 Shapely 通过在 GeoJSON、Well-Known Text 和 Well-Known Binary 格式之间解析和序列化几何数据,确保了地理空间数据的互操作性。
Implements parsing and serialization between GeoJSON, Well-Known Text (WKT), and Well-Known Binary (WKB) formats.
Nominatim 是一个自托管的地理空间搜索引擎和地理编码服务器,利用 OpenStreetMap 数据。它为正向地理编码(将地址或地名转换为地理坐标)和反向地理编码(将坐标转换为人类可读的物理地址)提供了完整的基础设施。 该项目具有一个专门的数据导入器,可将原始地图数据解析为 PostgreSQL 地理空间数据库。它的独特之处在于一个可配置的导入管道,该管道使用样式文件过滤地图特征,并使用基于重要性的排名系统根据流行度和特征类型对搜索结果进行优先级排序。 该系统涵盖了广泛的能力,包括空间索引、分层地址计算以及用于模糊查找的基于标记的搜索索引。它支持集成用于门牌号和邮政编码中心点的外部数据集,以及用于使本地数据集与全球源保持同步的增量数据复制。 该服务作为基于 ASGI 的 Web 应用部署,提供支持多种输出格式(包括 JSON、GeoJSON 和 XML)的地理空间搜索 API。
Extracts full spatial boundaries of places in formats such as GeoJSON or KML.
Mapshaper 是一个用于处理、简化和转换地理矢量数据的工具,提供命令行界面、Web 浏览器工具和 Node.js 库。它作为一个坐标投影器、矢量数据转换器和 Web 地图资产优化器,旨在在不同的坐标参考系统和文件格式之间转换空间数据集。 该项目以其拓扑保持几何简化而著称,在减少顶点数量的同时保持共享边界,以防止间隙和重叠。它还通过坐标量化和属性过滤进一步优化 Web 资产,以减小文件大小。 该系统涵盖了广泛的功能,包括使用 PROJ 字符串和 EPSG 代码进行坐标重投影,以及跨 Shapefile、GeoJSON、TopoJSON、GeoPackage 和 KML 等格式的数据转换。它提供了广泛的几何处理工具,用于缓冲、裁剪、溶解和修复拓扑,以及用于属性连接、过滤和转换的数据管理实用程序。此外,它还包括用于生成样式化 SVG 导出、经纬网和比例符号地图的视觉功能。 空间处理功能可以通过其 Node.js 库直接集成到 JavaScript 应用程序和构建流水线中。
Provides a comprehensive tool for simplifying, transforming and editing vector geographic data in GeoJSON and TopoJSON formats.
gcoord is a coordinate conversion library that transforms geographic coordinates between China's three major map coordinate systems: WGS-84, GCJ-02, and BD-09. It handles the offset corrections required by national encryption policies, converting GPS or API-derived coordinates to align with the projections used by Chinese map providers like Baidu, Gaode, and Google China. The library provides direct conversions between all three systems, including WGS-84 to GCJ-02, WGS-84 to BD-09, GCJ-02 to BD-09, and their reverse transformations. It processes individual coordinate pairs, batches of coordin
Applies coordinate system conversion to every point in a GeoJSON object while preserving its structure.
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
Parse GeoJSON features and geometries from input files to generate optimized vector tiles.