26 - 30 August 2019
CARMEN DÍEZ
@carmen10maica
carmen10maica@gmail.com
I'm living in Madrid and collaborate with
OSGeo, GeochicasOSM and QGIS Spain Association
I currently work in Urban Planning at
Environment Ministry of Madrid City Comunity
María Ballesteros
GIS Analyst
@maballesrin
who are we?
OpenStreetMap women's community
¿Openstreetmap?
OpenStreetMap (OSM), is the biggest open geodata initiative and community of the world.
~ 4,500,000 users
~ 6,135,944,634 GPS points
~ 4,465,342,896 nodes
~ 1,000,000 collaborators
@geochicasOSM
LOTS OF DATA
@geochicasOSM
NOT SO MUCH DIVERSITY
why we do it?
- EMPOWER WOMEN IN THE COMMUNITY IN ORDER TO HAVE MORE PROJECTS LED BY WOMEN AND FOCUSED ON WOMEN.
- ENLARGE THE OSM WOMEN'S NETWORK.
- HAVE MORE PARTICIPATION OF WOMEN IN OSM AND TECH ACTIVITIES.
- CREATE MORE SPACES IN WHICH WE CAN DISCUSS THE ROLE, REPRESENTATION AND PARTICIPATION OF WOMEN.
- DISCUSS BETTER CODES OF CONDUCT IN THE COMMUNITY THAT APPROPRIATE FOR ALL.
- CREATE MORE RELEVANT GEOSPATIAL DATA FOR WOMEN
ONLY 3% OF THE OSM COMMUNITY ARE WOMEN
OUR PROJECTS
OUR PROJECTS
OUR PROJECTS
OUR PROJECTS
OUR PROJECTS
OUR PROJECTS
online training spaces for women
geochicas take... sao paulo, lima, dar es salam, detroit, barcelona, madrid, buenos aires
the streets of women
- The project arises around International Women's Day 2018
- It is intended to make survey information about passages, streets, avenues, roads that are named after a woman also linking it to Wikipedia to check if there is a biography written about her
@geochicasOSM
@geochicasOSM
@geochicasOSM
the streets of women
- Script based on NODE
- TILE REDUCE library from OSM to create the GEOjson
- Local name databases from the Spanish National Institute of Statistics instead of external APIs like Genderize
- Wikidata query to extract 68,445 articles about women
@geochicasOSM
the streets of women
- Selection of cities we knew and wanted to work with using Planet OSM
- Filter only the streets of the map
- Cross-reference from the Spanish names database with the OpenStreetMap database with an 8% margin of error
- Filter streets by male or female name
- Manually cleaning any errors (streets named after flowers) and add the Wikipedia sources
- Generate the last clean data base linked to OpenStreetMap to create the Geojson file (tags and geometries) and the stats file.
- Upload the three resultant files to our Github
THANK YOU!
https://github.com/geochicasosm/
https://wiki.openstreetmap.org/wiki/GeoChicas
https://geochicas.org
@geochicasosm
QUESTIONS?
