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?

Geochicas in Bucharest - FOSS4G 2019

By Geochicas OSM

Geochicas in Bucharest - FOSS4G 2019

Bucharest August 2019

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