3 个仓库
Customization of map visuals based on specific geospatial datasets or geographic boundaries.
Distinct from Map Visual Styling: Distinct from Map Visual Styling: specifically focuses on styling driven by underlying data values and boundaries rather than general themes.
Explore 3 awesome GitHub repositories matching graphics & multimedia · Data-Driven Styling. Refine with filters or upvote what's useful.
3d-force-graph is a WebGL-accelerated component for rendering interactive network graphs in three-dimensional space. Built on the ThreeJS library, it positions nodes using a force-directed physics simulation that can be driven by either a D3-force or ngraph engine, producing dynamic layouts that users can rotate, zoom, and pan using mouse, keyboard, or touch controls. The component distinguishes itself through comprehensive camera control capabilities, including programmatic positioning, animated transitions, automatic timed orbiting, and zoom-to-fit functionality that frames all nodes within
Applies data-driven styling to nodes, controlling size, color, opacity, and custom 3D geometry per element.
本项目是一个跨平台地图 SDK 和硬件加速渲染引擎,使用 C++ 实现。它提供了一个共享的地理空间核心,允许将交互式地图嵌入到 Android、iOS、macOS、Node.js 和 Qt 应用程序中。 该系统专注于使用 OpenGL 和 GPU 原语进行高性能矢量瓦片渲染,以显示交互式 3D 地貌和复杂的地理空间数据集。它通过样式驱动的图层流水线将压缩的协议缓冲区 (Protocol Buffers) 转换为可自定义的视觉效果。 功能覆盖面扩展到全面的位置服务,包括地理编码、实时设备跟踪以及针对电动和传统车辆的复杂路线规划。它还涵盖了广泛的数据管理工具,用于瓦片集创建、空间分析以及具有无障碍验证功能的制图样式设计。 该项目包含一个命令行工具,用于为各种前端框架生成样板应用程序脚手架。
Determines map appearance by applying JSON-defined rules and filters to geospatial feature properties.
This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com
Enables map visuals to be customized based on geographic boundaries or datasets linked to cloud configurations.