16

I need a list of the central points for all countries:

China: lat/long (coordinates of the most central point in China)
France: lat/long (coordinates of the most central point in France)
etc...

14

Frank Donnelly provides a CSV file of country centroids that's based on data taken from the GeoNames Server, but hand curated by Frank. The data was last updated in February 2012.

-- EDIT May 2018 The former source isn't available anymore, here is a newer one, with lots of infos on the countries (incl. Centroids), and possibility to download the data in several formats. https://worldmap.harvard.edu/data/geonode:country_centroids_az8

There's also a similar question over at Stackoverflow: Need a list of all countries in the world, with a longitude and latitude coordinate, which includes a couple of approaches for generating such a list from other data sources.

5

You can retrieve this information using R like this:

library(rgeos)
library(rworldmap)

# get world map
wmap <- getMap(resolution="high")

# get centroids
centroids <- gCentroid(wmap, byid=TRUE)

# get a data.frame with centroids
df <- as.data.frame(centroids)
head(df)

#>                     x         y
#> Aruba       -69.97345  12.51678
#> Afghanistan  66.00845  33.83627
#> Angola       17.53646 -12.29118
#> Anguilla    -63.06082  18.22560
#> Albania      20.05399  41.14258
#> Aland        20.03715  60.20733

# plot
plot(centroids)

result

2

You can get country centroids using Python and GeoPandas.

import geopandas as gpd
import pandas as pd

# Access built-in Natural Earth data via GeoPandas
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

# Get a list (dataframe) of country centroids
centroids = world.centroid
centroid_list = pd.concat([world.name, centroids], axis=1)

# Plot the results
base = world.plot(column = 'name', cmap = 'Blues')
centroids.plot(ax = base, marker = 'o', color = 'red', markersize = 5)

In [1]: centroid_list
Out[1]: 
                           name                                              0
    0               Afghanistan  POINT (66.08669022192834 33.85639928169076)
    1                    Angola  POINT (17.47057255231345 -12.24586903613316)
    2                   Albania  POINT (20.03242643144321 41.14135330604877)
    3      United Arab Emirates  POINT (54.20671476159633 23.86863365334761)
    4                 Argentina  POINT (-65.17536077114174 -35.44682148949509)
    5                   Armenia  POINT (45.00029001101479 40.21660761230144)
    6                Antarctica  POINT (20.57100056984261 -80.49198288284349)
    ... and so on ...

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