Thanks for the info Stephen.
On Jul 7, 2010, at 10:28 AM, Stephen Woodbridge wrote:
> RoadMap http://roadmap.sourceforge.net/
>
> uses a similar compression trick of storing data in spatial "squares"
> Each square has an origin of x,y, and all coordinates within the square are
> stored relativ
RoadMap http://roadmap.sourceforge.net/
uses a similar compression trick of storing data in spatial "squares"
Each square has an origin of x,y, and all coordinates within the square
are stored relative to the square origin. So depending on your needed
resolution you might be able to compress an
Hello Peter,
The approach of scaling values into integers, if I recall correctly, is also
used in the transfer protocol for ArcSDE. I have considered this as an
option and was wondering if any of the non-ESRI datasources used that
approach.
I have seen the second method you describe being used fo
Ragi,
ESRI implemented something on these lines in the Personal Geodatabase, in an
attempt to overcome data value restrictions in Access: they scaled the values
into integers. This approach would work for the application you describe, but
loses precision further from the origin. The scali
Hello there,
The other day I got a question from someone that wanted to store a
relatively small amount of point features (~31K) that are close to each
other in a 'highly compressed' format. He wants to be able to query features
by proximity using coords. The reason for this requirement is that he
