This article provides a step‑by‑step guide for developers to obtain a Baidu Map API key, include the API library, create a map container, initialize the map object in PHP, set a custom JSON style, and render the customized map on a web page.
This tutorial demonstrates step-by-step how to set up a MySQL database, create PHP scripts to retrieve taxi trajectory data, and use Baidu Maps JavaScript API within an HTML page to render dynamic taxi movement paths, including complete code examples for each stage.
This tutorial explains step‑by‑step how to set up a MySQL database, create PHP scripts to retrieve taxi trajectory data, and use Baidu Maps JavaScript API in an HTML page to render dynamic taxi movement paths with interactive features.
This tutorial explains how to generate and display heatmaps using the Baidu Maps API in PHP, covering preparation, API integration, data preparation, heatmap generation, and front‑end rendering with JavaScript, providing complete code examples for each step.
This tutorial walks through six steps—obtaining an API key, importing the Baidu Maps library, creating a map container, initializing the map object in PHP, setting a custom style via JSON, and rendering the map—enabling developers to tailor Baidu map appearances within their web applications.
This tutorial explains step-by-step how to set up a MySQL database, create PHP scripts to fetch taxi trajectory data, and use Baidu Maps JavaScript API within an HTML page to render dynamic taxi movement paths, including code examples for database creation, data insertion, and map rendering.
This tutorial demonstrates how to build a taxi trajectory visualization by creating a MySQL table for track data, writing a PHP script to retrieve the data as JSON, and using Baidu Maps JavaScript API in an HTML page to render the moving paths with interactive features.
This article explains how to use Baidu Maps' API with Python to programmatically generate map images covering a 1‑kilometer radius around a point, including step‑by‑step instructions, required API registration, coordinate setup, and a complete code example.
This tutorial explains how to create a basic map navigation function using PHP by selecting a map API, setting up a PHP file, embedding the map container, initializing the map, and adding markers, with complete code examples for beginners.
This article provides a step‑by‑step tutorial on how to use html2canvas to screenshot Baidu Maps (both v3.0 and GL v1.0), handle cross‑origin image issues, adjust SVG overlay positions, and download the resulting images using canvas or base64 data URIs.
This article traces the evolution of Baidu Maps' mobile rendering engine, explains why Metal outperforms OpenGL, outlines a cross‑platform engine redesign, and quantifies the CPU, GPU, and memory improvements achieved after the Metal upgrade.
Over the past ten years, Baidu’s map web engine has transformed from a server‑rendered tile system to a sophisticated WebGL‑based platform, introducing vector rendering, canvas drawing, line thinning, clipping, WebWorkers, WebAssembly, and advanced interaction features to boost performance, flexibility, and 3D capabilities.
This guide walks you through using Python to crawl Qunar’s tourist spot pages, retrieve location and sales data, enrich it with Baidu Map’s geocoding API, and then create interactive heatmaps and ranking charts with ECharts, while storing results in JSON and Excel files for further analysis.
This article details Baidu Maps' technical team’s refactoring of the indexing (build) unit, outlining existing bottlenecks, design challenges, and a new decoupled architecture that separates storage, incremental updates, and full‑index construction using distributed table storage and message‑driven pipelines to improve scalability and reliability.
This article outlines Baidu Maps' mobile network optimization strategies, covering the overall architecture, common wireless issues such as DNS failures and hijacking, and practical solutions like HTTP‑DNS, custom TCP/UDP HTTP, data compression, unified domain entry, and deployment tactics that significantly improve user search latency and engagement.
This article explores how Baidu Map’s open platform leverages web‑based visualization libraries such as ECharts, MapV, Canvas, SVG and WebGL to render point, line and polygon geospatial data—including heatmaps, clustering, and 3D charts—while addressing performance challenges of large‑scale datasets and outlining the front‑end technologies used.
This article explains how Baidu Maps’ open platform handles massive daily location data through real‑time and offline pipelines, Hadoop‑based offline computing, stream processing, and query engines built on MySQL, Redis, and Apache Kylin, while outlining future big‑data enhancements.
This article explains how Baidu Maps' iPhone client enabled Bitcode and leveraged Apple's App Thinning to reduce binary size, detailing the 64‑bit transition, the bitcode enable process, analysis with otool, a custom Python check script, and post‑thinning validation steps.
