Study Area Map Generator
A Web-Based Shiny Application for Generating Country-Level Study Area Maps for Scientific Publications
Bibliographic Data
| ID | 22034264 |
|---|---|
| Authors | Cesar I Alvarez-Mendoza (0000-0001-5629-0893, University of Augsburg), Juan Gabriel Mollocana-Lara (0000-0002-2430-8400, Politecnica Salesiana University, corresponding author), Izar Sinde-Gonzalez (0000-0001-8540-7974, Universidad Católica de Santiago de Guayaquil), Ana C Teodoro (0000-0002-8043-6431, Universidade do Porto) |
| Year | 2025 |
| Volume | 14 |
| Issue | 10 |
| Pages | 387 |
| Publication date | 2025-10-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14100387 |
| OpenAlex | W4414781699 |
| Language | EN |
| References cited | 23 |
The increasing demand for high-quality geospatial visualizations in scientific publications has highlighted the need for accessible and standardized tools that support reproducible research. Researchers from various disciplines—often without expertise in Geographic Information Systems (GIS)—frequently require a map figure to locate their study area. This paper presents the Study Area Map Generator, a web-based application developed using Shiny for Python, designed to automate the creation of country- and city-level study area maps. The tool integrates geospatial data processing, cartographic rendering, and user-friendly customization features within a browser-based interface. It enables users—regardless of GIS proficiency—to generate publication-ready maps with customizable titles, basemaps, and inset views. A usability survey involving 92 participants from diverse professional and geographic-based backgrounds revealed high levels of satisfaction, ease of use, and perceived usefulness, with no significant differences across GIS experience levels. The application has already been adopted in academic and policy contexts, particularly in low-resource settings, demonstrating its potential to democratize access to cartographic tools. By aligning with open science principles and supporting reproducible workflows, the Study Area Map Generator contributes to more equitable and efficient scientific communication. The application is freely available online. Future developments include support for subnational units, thematic overlays, multilingual interfaces, and enhanced export options
Geographic information system · Geoinformatics · Geoportal · Geospatial analysis · Geovisualization · Personalization · Thematic map · Usability · Data Management and Algorithms · Environmental Monitoring and Data Management · Geographic Information Systems Studies
ColorBrewer.org
Population flow drives spatio-temporal distribution of Covid-19 in China
Geospatial Open Data Usage and Metadata Quality
Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
The dawn of an open exploration era
Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature
Research Challenges in Geovisualization
Citizens as sensors
| Citation velocity | historical |
|---|---|
| Highly cited | No |