[Geowanking] Multi-Resolution Dataset Wiki
osgis.lists at gmail.com
Mon Jan 23 09:19:43 PST 2006
I've made a couple posts lately about some different datasets
(TIGER/VMAP). My end goal is to pull together some datasets that will
give me some nice vector reference for a mapserver app that will need
to go from a view of North America down to street level (just US).
There is a lot of public data out there right now in the afore
mentioned datasets as well as others. While there have been various
efforts to try to make suitably processed versions of these datasets
available, they tend to fail because bandwidth+storage=money.
The idea I have is to create a Wiki (I could host a wiki, but not data
or CVS) that would contain code snippets for grabbing public datasets
(ie a wget script to get all TIGER files) and would appropriately
post-process the datasets into shapefiles for different resolutions
using tools such as OGR or Grass or anything else free.
We should pick several resolutions for globe coverage, continental
coverage, country coverage, state/province coverage, regional
coverage, city coverage, neighborhood coverage. For each resolution,
the data should contain an appropriate level of information (only
interstates, no local roads for national coverage; only country
borders, no state borders at globe coverage). Data should also be
appropriately generalized for the particular resolution.
Initially, the two datasets that I would like to see initially are
administrative boundaries and transportation.
Additionally, it would be great in the ideal world to have well nested
attributes for display/labeling in whatever application (for me
mapserver)(ie an interstate would have the same attribute in a "road
type" field regardless of what scale since at some break, there would
likely be different datasets being used to define roads).
I know this is the type of process that a lot of people regularly deal
with. Is there any interest in me setting up a Wiki to hold this type
of information? Is there a better way that we could try to pull this
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