ashkyd / geojson-regions Goto Github PK

🌏 A repo to create simplified GeoJSON regions so we can display map-based visualisations without having to load tiles all over the place.

Home Page: https://geojson-maps.ash.ms/

License: The Unlicense

JavaScript 22.29% CSS 21.68% HTML 54.14% Shell 1.38% Dockerfile 0.50%

geojson-regions's Introduction

GeoJSON Regions

A repo to create simplified GeoJSON regions so we can display map-based visualisations without having to load tiles all over the place.

These are compiled from on the Natural Earth data which offers public domain shapefiles.

The data

Data is organised by resolution (10m, 50m & 110m), and each country is stored under a ISO 3166-1 alpha-3 country code.

This stuff is fairly subjective. Natural earth states:

Natural Earth Vector draws boundaries of sovereign states according to defacto status. We show who actually controls the situation on the ground. For instance, we show China and Taiwan as two separate states. But we show Palestine as part of Israel. Please feel free to mashup our countries and disputed areas themes to match your particular political outlook.

Fetching the latest data

I'm aiming to keep this one up to date, but if you need to fetch the latest data you can do so by running go.sh in the repo root.

If you notice the repo is out of date, please feel free to make a pull request.

Note: you require gdal installed on your system (ogr2ogr command converts shapefiles to geojson).

Testing

Really loose unit tests are in the test/ folder. These ensure the data hasn't deviated too much from sensibility between updates.

npm install
npm test

Contributing

The only data changes I'll accept in this repo are those fetched from naturalearthdata.com. Please don't make a pull request with modified data.

If you can improve the build tools, or have a new transformation you want to add go for it!

geojson-regions's People

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chule ranjsiwaily rebalynne mirjamle slicke gy21 ckm2k1 raymondethan bekamengistu krista-nuams tvalentius hamadm miss-jeeves wise-eddy llukaso d40cht quentinberder blablapolicja pbvmateus mavigno rikitz gekk3 tobiaskmt yaoyx531 bibuboy swci agstudy pabloslabbe deiner37 eamador robbie andrewjluo alexeykuznetsov greghan partoa limquanheng astimus albertodeobeso mojbenzcar hoaqtruong nspatrick sahabi1 hproy aderyabin palimp coder121 widrogo thomas-couchbase kisscoolzone sovello wgdomenzain webrte manoelneco termination1 andriivasylchenko dolgik89 goodwinvideo hattricknz kelvinmbwilo arun123ece andy-vin jorgegmorata mllexx fazekasgergo zintle lis186 devonneburger jgalanc mpivaa frolli hawz tofalotfi kickto officialjoshua epocolis arnoldpalar basicavisual aivalisco pukiscuy lxbarth rizqevo tekavec esaugtz 11bit barakplasma greennore ignatandrei morganedavy bhidev2015 gishara jmclark maurowalker ducle83 nelsonkimaiga cannelflow futer sholtom nadimintikrish belmer fernandolverap

geojson-regions's Issues

Israel is missing

When I choose to download geojson with the Asia region, or just click on israel and download that data, Israel doesn't exist in the data.

French Guiana with a separate border

Hi, I'm using your library for one of my project and it's really helpfull. At the moment I'm working for COCOM map. So each of COCOM area should have a separate color. Everything is ok but I have small issue with French Guiana to make SOUTHCOM Area in one color. How I can to edit json for French borders to make French Guiana as a separate area? Thanks :)

Possibility of adding US states?

Is it possible to have the individual states be a part of the map data for the United States? I have a very specific application that I am working on that needs to have all the world countries, but for the US I also need to have the individual states as selectable regions.

Thanks!

Crimea shown as part of Russia

Showing Crimea as part of Russia is a standard error on maps, and most probably need to be made aware of the political stance this implies.
I propose to correct this and show Crimea as belonging to Ukraine.

Denmark missing

It looks like you are pointing Denmark to DN1 which is Greenland.

Gibraltar is missing

The British Overseas Dependency of Gibralta is missing from the dataset.

United States Minor Outlying Islands data missing

In Firefox Africa checkbox is missing

Comes and goes as you resize browser.

France is missing

Invalid geometries

I need to be able to compute a "center" point for the largest landmasses in the geometries for the countries. The shapely.ops.polylabel function implements a good algorithm for doing that.

Note that if I use the 50m (https://github.com/AshKyd/geojson-regions/blob/master/countries/50m/SDN.geojson) version of the file, polylabel works.

Unfortunately, the geometry defined by SDN.geojson is invalid. Shapely's explain_validity function returns the following information:

0    Self-intersection[33.9633927949711 9.464285229...
Name: geometry, dtype: object

make_valid generates the following error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [5], in <cell line: 355>()
    353 gdf = geopandas.GeoDataFrame.from_features( features, crs = 4326 )   
    354 print( explain_validity( gdf.geometry ) )
--> 355 print( make_valid( gdf.geometry ) )
    356 gdf.plot( figsize = ( 20, 20 ) )
    357 center = polylabel( gdf.geometry.values[0], tolerance = .1 ) 

File shapely/validation.py:53, in make_valid(ob)
     29 def make_valid(ob):
     30     """
     31     Make the input geometry valid according to the GEOS MakeValid algorithm.
     32 
   (...)
     51 
     52     """
---> 53     if ob.is_valid:
     54         return ob
     55     return shapely.make_valid(ob)

File pandas/core/generic.py:1527, in NDFrame.__nonzero__(self)
   1525 @final
   1526 def __nonzero__(self) -> NoReturn:
-> 1527     raise ValueError(
   1528         f"The truth value of a {type(self).__name__} is ambiguous. "
   1529         "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
   1530     )

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

I suggest updating how the geometries are computed so they are guaranteed to be valid. There are several other invalid geometries in the dataset.

A script that generates the error is:

The data is the SDN.geojson file located at https://github.com/AshKyd/geojson-regions/blob/master/countries/110m/SDN.geojson
(removed some of the "properties" for simplicity). It will draw correctly.

import json
from shapely.ops import polylabel
import geopandas
import os

data = {
  "type": "Feature",
  "properties": {
    "featurecla": "Admin-0 country",
    "filename": "SDN.geojson"
  },
  "geometry": {
    "type": "Polygon",
    "coordinates": [
      [
        [
          24.567369012152085,
          8.229187933785468
        ],
        [
          23.805813429466752,
          8.666318874542526
        ],
        [
          23.459012892355986,
          8.954285793488893
        ],
        [
          23.394779087017184,
          9.265067857292223
        ],
        [
          23.55724979014283,
          9.681218166538684
        ],
        [
          23.554304233502194,
          10.089255275915308
        ],
        [
          22.97754357269261,
          10.71446259199854
        ],
        [
          22.864165480244225,
          11.142395127807546
        ],
        [
          22.87622,
          11.384610000000123
        ],
        [
          22.50869,
          11.67936
        ],
        [
          22.49762,
          12.26024
        ],
        [
          22.28801,
          12.64605
        ],
        [
          21.93681,
          12.588180000000136
        ],
        [
          22.03759,
          12.95546
        ],
        [
          22.29658,
          13.37232
        ],
        [
          22.18329,
          13.78648
        ],
        [
          22.51202,
          14.09318
        ],
        [
          22.30351,
          14.32682
        ],
        [
          22.56795000000011,
          14.944290000000137
        ],
        [
          23.024590000000103,
          15.68072
        ],
        [
          23.886890000000108,
          15.61084
        ],
        [
          23.83766000000014,
          19.580470000000105
        ],
        [
          23.850000000000136,
          20
        ],
        [
          25.000000000000114,
          20.00304
        ],
        [
          25,
          22
        ],
        [
          29.02,
          22
        ],
        [
          32.9,
          22
        ],
        [
          36.86623,
          22
        ],
        [
          37.1887200000001,
          21.01885
        ],
        [
          36.96941,
          20.83744000000013
        ],
        [
          37.11470000000014,
          19.80796
        ],
        [
          37.4817900000001,
          18.61409
        ],
        [
          37.86276,
          18.36786
        ],
        [
          38.410089959473225,
          17.998307399970315
        ],
        [
          37.90400000000011,
          17.42754
        ],
        [
          37.16747,
          17.263140000000135
        ],
        [
          36.852530000000115,
          16.95655
        ],
        [
          36.75389,
          16.29186
        ],
        [
          36.32322,
          14.82249
        ],
        [
          36.42951,
          14.42211
        ],
        [
          36.27022,
          13.563330000000121
        ],
        [
          35.86363,
          12.57828
        ],
        [
          35.26049,
          12.08286
        ],
        [
          34.83163000000013,
          11.318960000000118
        ],
        [
          34.73115000000013,
          10.910170000000107
        ],
        [
          34.25745,
          10.63009
        ],
        [
          33.96162,
          9.58358
        ],
        [
          33.97498,
          8.68456
        ],
        [
          33.963392794971185,
          9.464285229420625
        ],
        [
          33.82496348090751,
          9.484060845715362
        ],
        [
          33.84213085302815,
          9.981914637215993
        ],
        [
          33.72195924818311,
          10.325262079630193
        ],
        [
          33.206938084561784,
          10.720111638406593
        ],
        [
          33.086766479716744,
          11.441141267476496
        ],
        [
          33.206938084561784,
          12.179338268667095
        ],
        [
          32.743419037302544,
          12.248007757149992
        ],
        [
          32.67474954881965,
          12.02483191958072
        ],
        [
          32.073891524594785,
          11.973329803218519
        ],
        [
          32.31423473428475,
          11.68148447716652
        ],
        [
          32.400071594888345,
          11.080626452941488
        ],
        [
          31.850715687025513,
          10.531270545078826
        ],
        [
          31.35286189552488,
          9.810240916008695
        ],
        [
          30.837840731903384,
          9.70723668328452
        ],
        [
          29.996639497988554,
          10.290927335388687
        ],
        [
          29.61895731133285,
          10.084918869940225
        ],
        [
          29.515953078608618,
          9.793073543888056
        ],
        [
          29.000931914987177,
          9.60423245056029
        ],
        [
          28.966597170745786,
          9.398223985111656
        ],
        [
          27.970889587744352,
          9.398223985111656
        ],
        [
          27.833550610778786,
          9.60423245056029
        ],
        [
          27.112520981708883,
          9.638567194801624
        ],
        [
          26.752006167173818,
          9.466893473594496
        ],
        [
          26.477328213242515,
          9.552730334198088
        ],
        [
          25.962307049621018,
          10.136420986302426
        ],
        [
          25.790633328413946,
          10.411098940233728
        ],
        [
          25.069603699343986,
          10.273759963267992
        ],
        [
          24.794925745412684,
          9.810240916008695
        ],
        [
          24.53741516360202,
          8.91753756573172
        ],
        [
          24.19406772118765,
          8.728696472403897
        ],
        [
          23.886979580860668,
          8.619729712933065
        ],
        [
          24.567369012152085,
          8.229187933785468
        ]
      ]
    ]
  }
}

features = {
    "type": "FeatureCollection",
    "features": [data]
}

gdf = geopandas.GeoDataFrame.from_features( features, crs = 4326 )   
print( explain_validity( gdf.geometry ) )
gdf.plot( figsize = ( 20, 20 ) )
center = polylabel( gdf.geometry.values[0], tolerance = .1 ) 
print( center )

Crimean Peninsula is Ukrainian territory

Crimean Peninsula is shown as Russian, which is not true, this is the territory of Ukraine. I don't think you support Russian aggression and terrorism, don't you?

Missing data for Mauritius, Maldives and Seychelles

Presumably missing from original data source too?

Error: ENOENT: no such file or directory, open 'all.geojson'

When running ./go.sh, it throws following error:

Error: ENOENT: no such file or directory, open 'all.geojson'
    at Object.openSync (fs.js:443:3)
    at Object.readFileSync (fs.js:348:35)

I found that in go.sh file, the rm command deletes the file. I think all.geojson should be kept somewhere else as it is a reference to generate rest of the files.

Vatican Data is Incorrect

Hey,

I've noticed the geojson for The Vatican City is incorrect.

10m:

50m:

Continent data

Not so much an issue as it is a question. How do I get data at the continent level? I need a map with just the 6 major continents labeled.

The US is missing

When I chose High resolution (10 metre, largest file) and selected all regions, the US is missing.

Problem with loading the geojson information for some of the countries

Hi
Thanks for your time and contribution to this amazing library.
Today, I downloaded the latest geojson file for Europe using the the tool on "https://geojson-maps.ash.ms/" and I noticed that the geojson regions for the following countries are not loaded in my application: Denmark,United Kingdom,France, Netherlands
I took a look at the "geojson-regions/countries/10m/index.json" file and searched for the Denmark entry which seems to be referring to the "DN1.geojson" file which actually represents Greenland.
Regards