Overview and Objectives
This Geocoding project is a web application designed to convert geographic names into coordinates, display weather data based on these coordinates, and provide a visual map interface. Developed with a focus on exploring various open APIs, this application integrates geocoding with real-time data visualization. The project’s architecture is built in JavaScript, leveraging user-friendly API integrations to achieve a seamless experience of geographic data retrieval and display. This initiative serves as a functional prototype that can expand with additional features and more sophisticated data handling in the future.
Technical Stack and Tools
The application is primarily implemented in JavaScript due to its flexibility in web development and prior experience within the team. The project employs several APIs, including LocationIQ for geolocation services, OpenWeatherMap for weather data, and MapTiler for satellite map tiles. The selection of these APIs allows the app to transform location names into coordinates, access current weather conditions for these coordinates, and overlay them on a map interface. Supporting tools like pigeon-maps for map rendering, react-spinners for loading animations, and use-debounce for API call management enhance both functionality and user experience.
Feature Set and User Interaction
This application offers two distinct viewing modes: a basic map interface for geolocation and a specialized analysis mode. In the initial view, users can search for locations and view latitude, longitude, and temperature data. In the enhanced analysis view, users can define specific areas of interest on the map, which are then analyzed by a machine learning model. The model classifies the selected area into one of four categories: forest, urban, water, or agriculture, based on image recognition. This interactive element adds depth to the user experience, inviting further exploration of geographical data and classification results.
