Lists of streets and landmarks named after a person (eponyms) for all countries worldwide. All data is extracted from openstreetmap, parsed, cleaned and carefully edited by hand.
Each list is sorted by the number of cities that have streets or landmarks named after that person, or by the number of countries in the case of the "worldwide" view.
All person names are wikipedia links. The count also reveals the countries where that person appears in, and the country name links to the raw street names, on github, where one can edit the eponyms file and also see the non-eponymous street names as well.
Explore each country's unique history, cultural influences and it's best known heroes, revolutionaries, leaders, scientists or artists of the past. All this through the way in which each country has decided to name its streets and landmarks.
All data is taken from openstreetmap. Affixes like "street", "boulevard", "square", etc are ignored (see affixes.js) and all names referring to a single person, although spelled differently, are considered as one person (see equivalents.js).
Only one occurence is allowed per city. This makes the data a bit unrealistic, since big cities usually have schools, monuments, squares and streets all named after that same person. But it's also a way to defend against duplicate entries in the osm file, where a single street is sometimes tagged dozens of times.
I've only considered eponym frequencies greater than one. This defends primarly against garbage data and also against large output files.
All wikipedia links have been added manually.
In the eponyms/ folder there is a list of all the available countries. Each [country].json file contains the complete list of street names for that [country]. Some entries have wikipedia links associated with them, which means they are eponyms and some other are just street names like "main", "school", which are actually ignored.
Some persons might have the wrong wikipedia link assigned to them or some persons might not have any link assigned to them. Edit the country file directly and make a PR with the description of your changes. The project is afterwards updated automatically, so you don't need to clone it nor do anything else to see your updates.
The equivalents.js file contains, for each [country], a list of equivalent entries all referring back to the same person. That is, you will see this,
["Bombardier", "J.-A.-Bombardier",
"Armand-Bombardier"]
which means that these all appear as street names, but they all actually refer to the same person. The first name in this list, Bombardier, will have the wikipedia link associated with it in the [eponyms/canada.json] file. The others are just "merged", so to speak, into this one.
If you spot a new equivalent, or a wrong one, modify the file and then call
node ./ulitza.js update canada
or for the country for which you've made the change. You will need to clone the project for this kind of contribution.
The affixes.js file contains regexes for each country.
In case you want to modify your favorite country, let's say Spain, either to edit an eponym, add a new one, modify the equivalents or affixes, or just play around, here are all the steps.
Download the spain-latest.osm.pbf file from openstreetmap into the "osm_data" folder,
node ./ulitza.js download spain
Extract the street names into the "raw" folder; this is the raw format, without affixes removed, without applying any equivalents and without removing duplicate entries. This is the perfect place to explore adding new affixes and equivalents,
node ./ulitza.js extract spain
Check if there are duplicate wikipedia links in the eponyms/spain.json and also duplicate equivalents,
node ./ulitza.js check spain
In case of duplicate links, you need to add an equivalent. In case of duplicate equivalents, you need to remove one (but not the one containing the wikipedia link)
Update the eponyms/spain.json file with the latest data,
node ./ulitza.js update spain
Commit the output file.
- eponyms(country: string, n?: number): [][]
Get the n most frequent eponyms for the given country. If n is not
specified, get the complete list of known eponyms.
It returns a list of eponyms, where each eponym is a list containing a Name,
Frequency and WikipediaURL.
eponyms("france", 3)
=>
[
['Charles de Gaulle', 1151, 'https://en.wikipedia.org/wiki/Charles_de_Gaulle'],
['Jean Moulin', 666, 'https://en.wikipedia.org/wiki/Jean_Moulin' ],
['Jean Jaurès', 598, 'https://en.wikipedia.org/wiki/Jean_Jaurès' ],
]
eponyms("france").length
=>
1046
- eponymName(eponym: []): String
Takes an eponym as returned from the eponyms command, and returns it's name.
R.map(eponymName, eponyms("france", 3))
=>
[ 'Charles de Gaulle', 'Jean Moulin', 'Jean Jaurès' ]
- eponymCount(eponym: []): number
Takes an eponym as returned from the eponyms command, and returns it's
count.
R.map(eponymCount, eponyms("france", 3))
=>
[ 1151, 666, 598 ]
- eponymURL(eponym: []): String
Takes an eponym as returned from the eponyms command, and returns it's
wikipedia url.
R.map(eponymURL, eponyms("france", 3))
=>
[
'https://en.wikipedia.org/wiki/Charles_de_Gaulle',
'https://en.wikipedia.org/wiki/Jean_Moulin',
'https://en.wikipedia.org/wiki/Jean_Jaurès'
]
Usage: node ./ulitza.js [command]
Commands:
download <country> Download the latest osm data for the given
<country>.
extract <country> Extract a first, raw, version of all the street
names for the given <country>.
update [country] Generate the eponym file for the given [country].
If [country] is not specified, generate the eponym
file containing the data for all countries.
check [country] Verify if [country] has duplicate equivalent
entries, duplicate urls or consistent urls. If the
[country] is not specified, return a list of all
the countries where such checks fail.
inspect <country> <regex> Inspect the <country> raw osm data. Useful in
finding new osm tags containing possible eponyms.
Only needed if we're going to modify the
generator.
help [command] display help for command