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Outdated: check spanish version

SCRIPTS to generate data for the project #LasCallesDeLasMujeres

Visit the web project: #LasCallesDeLasMujeres (in beta)

Getting Started

The data displayed in the project [#LasCallesDeLasMujeres] (https://geochicasosm.github.io/lascallesdelasmujeres/) is generated by executing the scripts contained in this project. Below are the instructions to reproduce the process and be able to generate data for any city.

Installation

To be able to download the project and execute the scripts, it is necessary to have installed:

  • GIT (Download HERE)
  • Node.js version <10 (Download HERE)

Download the project:

git clone https://github.com/geochicasosm/data_scripts_lascallesdelasmujeres.git

Installing the packages:

npm install

Download HERE the complete OSM planet (or the area of interest) and save it in a folder called "data", inside the project folder.
(Keep in mind that if you just want to download a specific area of interest, you must rename the unzipped file to "latest.planet.mbtiles")

./data/latest.planet.mbtiles

Instructions

Step 1

Define HERE the BBOX of the city to be treated.

Create a folder inside the folder called "data", with the name of the city to be treated (lowercase, no spaces). Examples:

barcelona

sanjose

buenosaires

Step 2

Execute:

npm run step1 -- --area=[bbox] --ciudad=cityname
  • Example: npm run step1 -- --area=[2.0875,41.2944,2.2582,41.4574] --ciudad=barcelona

The following two files are generated:

  • cityname_streets.geojson
  • list.csv

Step 3

Apply the classification of the previous listing in masculine or feminine names:

npm run step2 -- --ciudad=cityname

The file 'list_genderize.csv' is generated.

Step 4

Apply the script that eliminates streets classified as "unknown" and search of the Wikipedia articles related to streets named after women:

npm run step3 -- --ciudad=cityname

The file 'list_genderize_wikipedia.csv' is generated.

Step 5

Manually review the previous file:

  • Remove streets that don't have human names
  • Correct errors in the male / female classification. The reliability factor is 2,-2 / Female,Male.
  • Correct and add Wikipedia links (streets with masculine names do not need a link)

Guidelines to remove or maintain streets:

To REMOVE if:

  • Makes an allusion to flora or fauna
  • Makes allusions to historical moments (La Batalla de Pavón)
  • Makes allusion to inanimate objects (Esmeralda = Argentine ship)

To MANTAIN if:

  • It's named after a saint
  • It is named after a female deity with representation of a woman (Venus)

Save the corrected file in the same project folder, with the name:

cityname_finalCSV.csv

ATTENTION: It is very important that the field separator used in the CSV is ";", otherwise it will not work.

Step 6

Execute:

npm run step4 -- --ciudad=cityname

Three files are generated:

  • final_tile.geojson Final file that will be loaded on the map
  • stats.txt file with data statistics
  • noLinkList.txt File with the list of streets without article in wikipedia

Finally

Send us the three generated files and we will add your city to the map!

Contribute to the project

Join our slack channel #lascallesdelasmujeres.

Technical Coordinator

  • Jessica Sena (Spain) - @jsenag

    Computer engineer, web/mobile geo-developer.

License

This project is licensed under CC BY-SA License - see the CC BY-SA file for details

Knowledgement