All,

Ok, granted weird title for a posting.

I have a little reporting project that I'm thinking about related to GPS 
tracking.  Bouncing the idea off of folks here in the hopes that someone may 
have tried this somewhere else or maybe has a better way.

I need to generate a slider control for handling sorting through the GPS data 
for individual vehicles on a daily basis.  The idea is to build a rapid, 
visually oriented, lookup system for the data.  To begin with, I would like to 
start the process by querying for the data for a single GPS ID for a 24 hour 
period, generate a time based slider control that can be used to pick a point 
in time, and then have a slippy map (OpenLayers) auto zoom to that location, 
once a location has been decided on.

I found an example on the Openlayers site for the slippy map part, I have a 
service (yet to build) that can grab the location data by time increments of 24 
hours, but the slider part is looking like it might be a bit intensive if built 
in a standard way.  The data for the GPS devices can come in all sorts of time 
resolutions, some are based on 15 - 20 sec updating, while others are using 3 
sec update increments.  The resulting 24hr dataset can be somewhat sizeable as 
a result.

Here is my weird idea.  Make the Slider into a  MapServer map call that is 
aggregated at certain time increments (Map tile pyramid levels, only in a 
single direction, left/right)  if the  slider is zoomed more resolution of time 
appears for picking the location in the slippy map.  The slider becomes a real 
wide but not very tall map but only for displaying, and picking by the user a 
new time increment.  This approach should therefore compensate for browser view 
size as well as density of time data, by making an appropriately sized, scaled 
tile on demand.  It should also be adaptable in the future to starting out with 
larger time increments to show where GPS activity was, and then to zoom in on 
that time increment for detailed analysis.

Ok, I'm ready, tell me it's a stupid way to go . . .

Bobb


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