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world geohash index

Project description

worldgeo

World geohash index

A simple, easy to use python package to get a country by a given geohash or raw coordinates.

Getting started

Installation

pip install worldgeo

Usage

Import the Index class and load an index file (we'll discuss how to get one later on)

from worldgeo import Index
i = Index.load("world5.idx")

Now you can resolve a geohash

In [3]: i.find_by_hash("9smk")
Out[3]: Country(name='Mexico', code='MEX')

or coordinates

In [4]: i.find_by_coord(49.2827, -123.1207) # Vancouver
Out[4]: Country(name='Canada', code='CAN')

Using a pre-built index

The indexes are based on https://github.com/johan/world.geo.json/blob/master/countries.geo.json and this is the only GeoJSON source supported at the moment. Given that, you don't really need to build indexes yourself, as there are ready to use files built by GitHub CI.

There are pre-built indexes with precision 4 to 6. Precision 6 means accuracy up to 1.2x1.2 km, which must be enough given the source might be even less accurate. Since more accurate index take much more disk and memory space, you might want to use precision 4 or 5 (39km or 5km correspondingly) as these take only a few Mb.

Building a new index

In case you still want to build a more (or less) precise index, you can do so by running

build-geoidx -o <output filename> -p <precision> [-t <num threads>]

and load the resulting file later on with Index.load(filename)

Project details


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