When trying to import lists of populated
places from Geonames into my web application,
I am confronted with a "quantity problem".
For example, for Russia I get about 188'00
populated places. For Ukraine, I get 32'000 places. For Brazil,
52'000.
Very many have identical names, which makes it difficult for a
user to select his home town or birth place from a list.
If we had population figures for all or at
least the majority of places, this would help. One could just
select the places above a certain number of inhabitants, or
offer them in the user interface ordered by population.
But there are not enough population data.
For Russia, only 5'700 out of 188'000 towns have a population number.
For Brazil, there are only 103 towns with
population numbers among the 52'000.
Does anyone know a procedure to select the more important places from the huge dataset?
For example, if the surface area of towns were known from some other source, this could be a criterion.
The admin1 code can be resolved into a
province name.
But that is often not sufficient for the user to pick a place.
For example, in Russia there are 37 towns
named Afanosovo.
Only one of them has a population number (300).
4 are in admin1 region Ivanovo
6 are in admin1 region Moskovskaya
6 in Tverskaya
4 in Vologda
5 in Jaroslavl.
Any suggestions welcome.
Does anyone know a procedure to select the more important places from the huge dataset?
For example, in Russia there are 37 towns named Afanosovo.
Am 12.02.2022 um 23:31 schrieb Barry Hunter <barryb...@gmail.com>:
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Where do the categories Hamlet and Village in the user interface of nominatim come from? Did I overlook this in the geonames data?
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