Collaborative Feminist Cartography in Geographical Education: Mapping Gender Representation in Street Naming (Las Calles de las Mujeres)
Abstract
1. Introduction
2. Collaborative Mapping for Citizen Participation Towards Equity
3. Materials and Methods
3.1. OpenStreetMap (OSM) and Data Contribution
- Creation of a dedicated user account: In collective projects, such as those developed it is recommended to create dedicated accounts for bulk imports. This facilitates the tracking, auditing, and potential reversion of changes.
- Loading the external file: Through the OpenData plugin, data are incorporated in compatible formats (e.g., .csv) and projected into a standardized reference system. Task management: Imported points are organized into a list managed with the TODO list plugin, which allows detailed monitoring of the progress (percentage reviewed, pending, corrected).
- Spatial verification: For each element, a cartography layer is downloaded into an active layer to verify its exact location and correct potential errors. This step ensures consistency with existing buildings, checks address attributes (addr:street, addr:housenumber), and prevents duplication.
- Corrections and adjustments: Incomplete addresses, missing tags, or misaligned points are corrected according to the community’s tagging conventions documented inopen repositories.
- Validation and upload of changes: Before publication, JOSM runs an automatic validation process to detect errors or inconsistencies. The changeset is then uploaded with standardized metadata (comment, source, import = yes, url), ensuring full transparency and reproducibility of the process.
3.2. The Role of Geochicas OSM in OpenStreetMap
- Technical training and capacity-building: They organize workshops, webinars, and both in-person and online mapathons where participants learn to use open-source editors (iD, JOSM), import open formats (.csv, .shp, .geojson), and apply quality and validation criteria. These spaces not only provide technical competencies but also aim to break down barriers of access and confidence that have historically limited women’s participation in digital communities.
- Gender-sensitive data production: Unlike other crowdsourcing projects, these initiatives introduce explicit methodological criteria to ensure the inclusion of data often rendered invisible in traditional cartography, such as female representation in street names, feminicides, or unsafe spaces for women. This critical selection of what to map and how to map it is one of their main innovations.
- Design of replicable and scalable projects: Initiatives such as Las Calles de las Mujeres or Yo te nombro (“I Name You”) are based on open methodologies documented in repositories (GitHub, wikis) that facilitate replication across contexts. This involves standardized processes of data collection, cleaning, classification, and visualization, reinforcing transparency and promoting both scientific and civic reuse.
- Community validation and open visualization: The editing process is always accompanied by verification phases through traceable changes and the publication of accessible web viewers. This component ensures data traceability and makes the results available as educational, political, and social resources.
3.3. Collaborative Mapping Process: Las Calles de las Mujeres
- Street network extraction: through an automated script, the complete list of a city’s streets is obtained from open geospatial databases, ensuring that the starting point is open and constantly updatable.
- Gender classification: street names are categorized according to whether they commemorate men, women, collectives, or other references, thus making visible the quantitative inequalities in gender representation.
- Database enrichment: biographies of the women represented are incorporated, along with references to Wikipedia articles and documentary links that contextualize their trajectories.
- Collaborative verification: participant teams review, correct, and validate the information through collective editing and quality control dynamics, ensuring the coherence and reliability of the generated data.
3.4. Online Visualization and Interactive Web Viewer
- Dynamic filters by gender and categories: users can quickly identify streets named after women, men, collectives, or other references, allowing for immediate comparative analysis.
- Integration of biographies and external links: each street named after a woman is accompanied by additional information, including Wikipedia articles and documentary references, which provide broader historical and social context.
- Statistical visualization: the viewer displays charts and percentages summarizing the degree of female representation in the street naming of each city, offering a clear and accessible quantitative dimension.
- Open and replicable design: built with free technologies such as Leaflet, JavaScript, and GitHub Pages, the viewer can be adapted to different local contexts, enabling reuse and adaptation by communities, educational institutions, or public administrations.
4. Results
4.1. Geographical Distribution of Mapped Cities
4.2. Case Study: Spanish Cities
4.2.1. Average Street Length
4.2.2. Distance to the Urban Center
4.2.3. Proportion of Female Streets by Distance to the Urban Center
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Country | Number of Mapped Cities | Percentage of Cities Relative to the Total Mapped (%) |
|---|---|---|
| Spain | 13 | 34 |
| Argentina | 10 | 28 |
| Peru | 1 | 11 |
| Mexico | 1 | 10 |
| Costa Rica | 2 | 6 |
| Paraguay | 2 | 6 |
| Cuba | 1 | 3 |
| Uruguay | 1 | 3 |
| Bolivia | 1 | 3 |
| Italy | 1 | 3 |
| City | Ratio km Male vs. Female | Average Length of “Male” Roads (m) | Average Length of “Female” Roads (m) | Average Distance of “Male” Roads to City Center (m) | Average Distance of “Female” Roads to City Center (m) |
|---|---|---|---|---|---|
| Badalona | 11.38 | 335.54 | 230.59 | 1333.04 | 1279.6 |
| Barcelona | 6.37 | 344.31 | 278.51 | 3764.5 | 3835.9 |
| Gijón | 4.86 | 364.32 | 267.3 | 2399.72 | 2587.11 |
| Girona | 5.47 | 275.8 | 258.76 | 1454.54 | 1795.54 |
| Madrid | 4.13 | 436.98 | 394.53 | 5191.63 | 5709.93 |
| Salamanca | 7.44 | 281.52 | 345.49 | 1499.2 | 1468.69 |
| Sta. Coloma de Gramanet | 5.77 | 275.65 | 246.31 | 784.55 | 425.26 |
| Valencia | 12.95 | 367.17 | 221.72 | 2578.6 | 2495.95 |
| Valladolid | 7.35 | 383.1 | 337.15 | 1876.02 | 2250.83 |
| Zaragoza | 4.54 | 367.1 | 374.51 | 2991.49 | 3156.61 |
| Huesca | 5.65 | 87.14 | 114.814 | 829.38 | 1242.51 |
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© 2025 by the authors. Published by MDPI on behalf of the International Society for Photogrammetry and Remote Sensing. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Sebastián López, M.; Kratochvíl, O.; Mérida Donoso, J.A.; Mar-Beguería, J.; De Miguel González, R. Collaborative Feminist Cartography in Geographical Education: Mapping Gender Representation in Street Naming (Las Calles de las Mujeres). ISPRS Int. J. Geo-Inf. 2025, 14, 440. https://doi.org/10.3390/ijgi14110440
Sebastián López M, Kratochvíl O, Mérida Donoso JA, Mar-Beguería J, De Miguel González R. Collaborative Feminist Cartography in Geographical Education: Mapping Gender Representation in Street Naming (Las Calles de las Mujeres). ISPRS International Journal of Geo-Information. 2025; 14(11):440. https://doi.org/10.3390/ijgi14110440
Chicago/Turabian StyleSebastián López, María, Ondrej Kratochvíl, José Antonio Mérida Donoso, Juan Mar-Beguería, and Rafael De Miguel González. 2025. "Collaborative Feminist Cartography in Geographical Education: Mapping Gender Representation in Street Naming (Las Calles de las Mujeres)" ISPRS International Journal of Geo-Information 14, no. 11: 440. https://doi.org/10.3390/ijgi14110440
APA StyleSebastián López, M., Kratochvíl, O., Mérida Donoso, J. A., Mar-Beguería, J., & De Miguel González, R. (2025). Collaborative Feminist Cartography in Geographical Education: Mapping Gender Representation in Street Naming (Las Calles de las Mujeres). ISPRS International Journal of Geo-Information, 14(11), 440. https://doi.org/10.3390/ijgi14110440

