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RE: International Postcode system using Cubic Meters - CubicPostcode.com

From: Cox, Simon (L&W, Clayton) <Simon.Cox@csiro.au>
Date: Wed, 17 Jun 2020 02:52:41 +0000
To: Daniel Alexandre <bicomplex@gmail.com>, "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <ME2PR01MB28825BCB89D6A719CF94FA36889A0@ME2PR01MB2882.ausprd01.prod.outlook.com>
Suggest you look at what3words which is already doing similar on 3m*3m squares.
And DGGS – in particular the rHealPIX variety – has a more algorithmic approach to the identifiers – nested to whatever resolution you need, around level 11 would match your requirement.

From: Daniel Alexandre <bicomplex@gmail.com>
Sent: Wednesday, 17 June, 2020 12:41
To: semantic-web@w3.org
Subject: International Postcode system using Cubic Meters - CubicPostcode.com

Hello, I have some ideas to share about an international postcode system using cubic meters. Each postcode location would be quite small, that is, the size of a cubic meter. Each postcode location would be a cubic in a grid of cubes with an edge of 21 million cubes. This would total 9,261,000,000,000,000,000,000 cubes. All cubes would be numbered, using 22 algarisms (21m^3= 22 digits).

The website is on github, you can visit going to: CubicPostcode.com

This would have many applications and particularly cool with augmented reality, semantic web and new ways of world mapping for propriety register and real estate.

9,261,000,000,000,000,000,001 to 9,999,999,999,999,999,999 could be codes used for moving items, like

telephone numbers, ISBNs, RFIDs or IP addresses. Everyone would get used to this string codes of 22 algarisms.

Looking for someone that could collaborate with me in the algorytm design and code implementation.

Work in progress with a little script in Python that converts cube number into XYZ cartesian coordinates, In case you might be interested we have also HTML5 / JS code to convert GPS <-> XYZ cartesian coordinates in meters. Here: https://github.com/cubicpostcode/LLA_ECEF_Conversion

Daniel Alexandre, BEng(Hons)

London, UK


Received on Wednesday, 17 June 2020 02:53:03 UTC

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