eviltransform converts geographic coordinates between WGS-84 (World Geodetic System 1984) and GCJ-02 (Beijing Coordinate System 1984), commonly used in China for mapping services like Google Maps and Baidu Maps. It provides functions in multiple languages (Go, C/C++, JavaScript, Python, PHP, C#, Haskell) to transform coordinates between these two systems. The primary goal is to enable accurate coordinate conversions for applications operating in China.
This project is notable for its cross-platform availability, offering implementations in a variety of languages. It provides both standard and high-precision conversion functions, catering to different accuracy requirements. The code leverages established algorithms and is based on proven sources. The inclusion of a distance calculation function adds utility for spatial analysis.
- WGS84 to GCJ-02: Converts latitude/longitude from the global WGS-84 coordinate system to the GCJ-02 system.
- GCJ-02 to WGS84: Converts latitude/longitude from the GCJ-02 coordinate system back to the global WGS-84 coordinate system.
- Distance Calculation: Calculates the distance between two points on the Earth's surface in meters.
- Multiple Language Support: Provides implementations in Go, C/C++, JavaScript, Python, PHP, C#, and Haskell.
- Accuracy Options: Offers both a standard conversion and a more precise conversion method for users with specific accuracy needs.
The project appears to be mature, based on its long history (created in 2013) and significant number of stars and forks. Recent commits suggest ongoing maintenance. Links to external resources (blog posts, documentation) further support its established status. The presence of multiple language bindings indicates a degree of community involvement and adoption.
This project is valuable for developers working on mapping applications or geospatial analysis tools that need to handle coordinates in both WGS-84 and GCJ-02 formats. It simplifies the conversion process, offering code readily usable in various programming environments. It provides a practical solution for accurately representing locations within China and facilitating interoperability with widely used mapping platforms.
