Re: Digital Divide

A picture is worth a kilo-word.

When a government aims to promote agriculture by setting mid-summer as a mid-point, all ISO Days point toward it, or lean back on it ... ////||\\\\ the problem is that visualizations use an "everything points right" variation ... ////||////  Now imagine that the right facing slashes are pay periods and you understand why my Economist friends (if I had any) cannot cope with Labour/Unemployment issues and why the meaning of information gleaned from Social Networks is hard to put to practical use - you are in a position of always waiting for the next week's, or fortnight's, etc. data.  This is because Day of the Week, Zeller's Congruence has a period 28 cycle (been known for a long time).

Anyway, the picture: Agricultural Year (ISO Day;Noon). 


Simple, right ?  Yes and no.  The dots are amplitudes at the noon hour.  There are are 32 on the left and 32 on the right of zero*. The dots are a polar curve fit to Zeller's Congruence at 56 points.  Like Medical Imaging, connecting the dots is just the beginning.  "Noon" is a Community/Citizen Centric Time Standard.

--Gannon

* The ratio of dots on the two sides is the ratio of work days to unemployed days - capture/ionization - neither of which involve "growth".  Just move the Zero point (X) back and forth to get the fractions.



________________________________
 From: Gannon Dick <gannon_dick@yahoo.com>
To: eGov IG (Public) <public-egov-ig@w3.org> 
Sent: Saturday, April 13, 2013 4:34 PM
Subject: Digital Divide
 



When Governments set Daylight Saving Time, they center the Agricultural Season within the year.  This is a sensible thing to do.  It does however establish a mean, etc. in a probability distribution.  Since the ISO Day Number (Monday=1) is not centred on mid-week - usually Wednesdays, nor on paydays (or pay periods) - usually Fridays, the result is not a bell curve, but rather a Rayleigh Distribution.  Simply knowing that growing food is something to be encouraged is enough to define the hard numbers of the distribution boundaries - with access to mean, mode, sigma, and all those numbers statisticians love.  The whole concept of outliers becomes unnecessary.  Have a look.

http://www.rustprivacy.org/2013/egov/civic_hack/rayleigh.html

--Gannon