shrug-l: Combining Road datasets
tcorbin at keckwood.com
Tue Jan 15 18:30:56 EST 2008
While it is not as fast or automated as you would like, your best option
may be to use the Attribute Transfer tool located on the Spatial Adjust
toolbar. This does require your to manually pick each road to transfer
the name from the dataset that has the attribute information to the one
that does not. It will take time but end the end you will have a much
more correct data set especially in the crowded areas than using a
spatial join or converting labels to annotation and trying to join the
annotation to the roads.
The only other option that might work is if you have access to the
original CAD drawings. Assuming the CAD drawings did contain annotation
listing the road name and if the insertion point of the names touches
the roads, it might be possible to spatially join those and get a better
Tripp Corbin, MCP, CFM, GISP
ESRI Authorized Instructor
Keck & Wood,Inc.
(678) 417-8785 fax
Keck & Wood, Inc offers a range of GIS services and training. Please
visit <http://www.keckwood.com/> www.keckwood.com for more information
including a schedule of upcoming classes. GA URISA
<http://www.gaurisa.org/> members can receive a 10% discount on
instructor led training.
From: shrug-l-bounces at lists.dep.state.fl.us
[mailto:shrug-l-bounces at lists.dep.state.fl.us] On Behalf Of Burns David
Sent: Tuesday, January 15, 2008 3:19 PM
To: shrug-l at lists.dep.state.fl.us
Subject: shrug-l: Combining Road datasets
Shruggers (or is it Shruggies?) -
Perhaps someone out there can help me with an interesting issue that my
colleagues and I are currently attempting to tackle.
First, a bit of background. We currently have a dataset featuring very
accurate (2 meter or better) alignments of all the roads in Florida.
These have been converted from our CAD maps and, as such, lack a road
names feature (which we very much desire). We have a dataset, however,
that contains (hypothetically) all the names of these roads.
Unfortunately, said dataset lacks the accuracy of the CAD-exported data.
Our wish is to essentially combine these two datasets, with the end
result featuring both highly accurate data and the road names.
We have, as of yet, not had success with doing a spatial join, as
frequently the streets will be combined with the wrong name in areas
with a high density of roads (such as urban areas). Does anyone have
any ideas as to how to overcome this problem (without manually inputing
the names for every road in Florida)? Would converting labels to
annotation be a potential solution?
I appreciate any input!
Florida Department of Transportation
Surveying & Mapping Office
605 Suwannee Street, MS 5L
Tallahassee, Florida 32399-0450
david.burns at dot.state.fl.us
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