Aprimoramento da visualização de dados no sistema HCF-Web: mapas virtuais com funcionalidades de filtros avançados

Abstract

The Herbarium of the Federal Technological University of Paraná, Campo Mourão Campus, also known as HCF (Herbário do Centro Federal) needs an information system to control specimens. A new system, HCF-Web, was designed to be more efficient and secure based on current technologies. The HCF-Web system was partially developed in previous works but was not fully implemented and deployed. To enable its practical use, the system requires continued development, including refactorings, design improvements, and implementation improvements. The new system must meet the needs of the herbarium, such as a multi-user web system, with updates to existing functionalities, allowing more precise control and greater visibility of the information made available by the system, eliminating the existing gaps. This work developed functionality to integrate interactive maps into the system, including advanced filters for the geolocation of HCF specimens. The developed system has two distinct interdependent projects, primarily using Javascript technologies: the server (backend) and the user interface (frontend). The system is licensed under the GPLv3 free software license. The repositories are available on the social coding platform Github, and the project and its tasks can be accessed at the URL https://github.com/orgs/utfpr/projects/5. This work developed functionalities on the server (code available at: https://github.com/utfpr/hcf-api) and the dashboard (code available at: https://github.com/utfpr/hcf-painel). The server is responsible for controlling the data and managing access at different user levels to the system's functionalities, ensuring the security and organization of the information. The dashboard is responsible for making these functionalities available in an interactive and accessible way, allowing users to view and interact with the data through the system interface. The technologies used for the server were MySQL, Node.js, Sequelize, and Express, and for the dashboard, React.js and Leaflet. The main tasks to complete the project involved the integration of a page with a complete interactive map, displaying all the collections in the herbarium, and a page with advanced filters for geolocating specimens. Implementing this functionality allowed users and visitors to view the location of specimen collection points in a dynamic environment, perform advanced queries, and interact directly with the geospatial data. This includes searching by taxonomy, popular name, scientific name, HCF number and altitude range, and the automatic plotting logic of georeferenced points. In addition, features such as re-centering the map, full-screen mode, zoom control, map image capture, switching between different viewing layers and viewing history, and map centering were added, ensuring a more fluid and intuitive navigation experience. These improvements made the system more accessible and efficient for researchers and users. The system is currently in the testing and implementation phase for use at the HCF. The main functionalities required by the client have been implemented. The project continues to be developed, with new functionalities being created, including navigation and display of data on maps and automated communication with external data providers.