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Effective Location Storage via a Maidenhead Locator System For Python

Project description

# mlocs - sensible location storage… # # mlocs provides a simple, yet effective location hashing algorithm. # it’s not super precise (> 750m.) but it provides perfect results. # # There are 5 levels available. # Lvl 1 : World Scope # Lvl 2 : Region Scope # Lvl 3 : Metro Scope # Lvl 4 : City Scope # Lvl 5 : I See You # # toMaiden([lat, lon], level) returns a char (len = lvl*2) # toLoc(mloc) takes any string and returns topleft [lat,lon] within mloc

Github repository : git@github.com:zdevops/mlocs.git

Version 1.0.4 :

Just prepped for github too. No other changes….

Addedd genNonSense(loc) for other map :) Version 1.0.3 : =============== Addedd genNonSense(loc) for other map :)

Version 1.0.2 :

Added genGooleMap() for generating static google-map images out of MLOCS :)
–> for large scale (>25k req/day) these must be cached somehow….

Project details


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mlocs-1.0.5.macosx-10.9-intel.tar.gz (3.1 kB) Copy SHA256 hash SHA256 Dumb Binary any Mar 28, 2014
mlocs-1.0.5.tar.gz (2.1 kB) Copy SHA256 hash SHA256 Source None Mar 28, 2014

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