Discretize countries into regions
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Hello --
I'd like to simplify my data by organizing countries into certain geographical regions. For example, if
countryName == ['Botswana','Eswatini','Lesotho','Namibia','South Africa']
regionName == ('Southern Africa')
and so on. I'd also like to determine the average of these new 'regions' so I can graph them.
Number of countries per new region can vary.
Sample data:
'Algeria' 2001 5.70000000000000 161 24 15 61 39 24 98 'f' 35.4200000000000
'Angola' 2005 0.700000000000000 37 45 34 21 17 13 8 'f' 18.9900000000000
'Benin' 2001 0.130000000000000 14 32 23 45 5 3 6 'f' 9.21000000000000
'Botswana' 2000 0.190000000000000 96 41 18 41 39 17 39 'f' 1.98000000000000
'Burkina Faso' 2001 0.720000000000000 44 39 2 59 17 1 26 'f' 16.2900000000000
'Burundi' 2000 0.290000000000000 34 17 6 77 6 2 26 'f' 8.52000000000000
'Cameroon' 2000 0.970000000000000 49 17 7 76 8 3 37 'f' 19.9600000000000
'Cape Verde' 2000 0.0200000000000000 39 7 2 91 3 1 36 'f' 0.510000000000000
'Central African Republic' 2005 0.0700000000000000 16 83 17 1 13 3 0 'f' 4.51000000000000
... etc.
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回答(2 个)
Hiro Yoshino
2020-2-10
One thought would be .... clustering algorithms.
How about using geographical data (longitude and latitude) as an input vector and group them up based on the distance.
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Sagar
2021-8-1
First download the shapefile of all countries from here:
Then read the shapefile using 'shaperead' and you will see the latitude/longitude range for each countries as well as many other fields. Use those data fields to get what you want.
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