GmapsDistance

Rodrigo Azuero

GmapsDistance is a library designed to facilitate the calculation of distances between multiple origin and destination points, using the Google Maps infrastructure. It allows users to specify different modes of transportation, such as walking, cycling, driving or public transportation, and consider variables such as traffic at different times of the day. This tool, created by Rodrigo Azuero, has proven its usefulness in various studies and practical applications. From evaluating accessibility to health services and public transportation to analyzing the impact of distance on property valuations and the health of specific populations. GmapsDistance stands out for its ability to handle large volumes of data, offering effective solutions for urban planning and decision making based on geolocation.

The problem that "Gmapsdistance" addresses is the complexity of accurate distance calculations in various applications. Calculating distances between two points on the Earth's surface involves complex spherical geometry and geocoding to convert addresses into coordinates. These calculations are essential for applications such as route optimization, location-based marketing, and real-time tracking. "Gmapsdistance" simplifies this process by providing an easy-to-use interface for distance calculations, saving developers time and effort.

Geocoding Integration: Utilizes Google Maps Geocoding API to convert addresses to coordinates. Distance Calculation: Computes distances between two points, whether in miles, kilometers, or other units. Route Optimization: Supports route planning by calculating distances along multiple waypoints. Batch Processing: Allows for the bulk calculation of distances between multiple sets of points. API Access: Provides a straightforward API for programmatic distance calculations. User-Friendly Interface: Offers a user-friendly web-based interface for manual calculations. Geographical Boundaries: Enforces geographical constraints for calculations within specified regions or areas.

Built with Python and JavaScript, it leverages the Google Maps Geocoding API to convert addresses into coordinates. Utilizes JSON and CSV data formats for interoperability. Ensures secure handling of location data and API keys. Designed to scale and efficiently handle a high volume of distance calculations. Provides clear documentation for users and developers. Complies with Google Maps licensing and terms of use, and implements detailed error handling.