SLUG Meeting – 04/26/2016

The 28th Quarterly Salt Lake GIS Users Group (SLUG) Meeting

Tuesday, April 26 from 11:30 AM – 1:30 PM

Sandy City Hall
10000 Centennial Pkwy
3rd Floor Multi-purpose Room (NE Corner)
Sandy, UT 84070

Google Map of Sandy City Hall

We will be meeting at the Sandy City Hall building in Sandy. There is some construction going on so please park on the West side of the building. There is a TRAX stop nearby, but it is still a couple of blocks away. If necessary, you could park in the Target parking lot to the South. Try to get there early and carpool!


Davis County GIS – N. Jeffrey Baker

The populated core of Davis County includes 15 municipalities and multiple county islands—all covered by eight different addressing grids. Identifying and managing over 120,000 addresses and 18,000 road centerlines has been very challenging. Getting the addressing and centerline data clean, and keeping it clean, has led us to develop several techniques and practices to ensure very high quality data. Techniques include, among others, applying simple definition queries, use of color ramps and divisors, keeping track of anomalies, and development of a more advanced “fishbone model” to ensure that address point and centerline data complement one another.

The end goal—now largely complete—is for the County to have a single Master Address Database (MAD) that contains all known situs addresses throughout the County in a standard and consistent format. This database will soon feed addresses to all County applications that have an address component including 911/dispatch, voter registrations, health department data, personnel records, assessor data, and other County operations.

This presentation covers several of the quality assurance techniques we use for addressing validation.

GIS Humor – Ray Montgomery

Salt Lake County GIS – Casey Sledge

Python is a tool many of us know about for scripting and automating GIS tasks but a large portion of the benefit that Python offers goes beyond geoprocessing. Since GIS is only a tiny fraction of the professional industries that use Python, this presentation will explore a few simple tricks that may not manipulate spatial data, but might come in handy regardless. After all, everyone in our field wears many hats so let’s automate those too.

Hosts and Sponsors

We would like to thank Sandy City for hosting this meeting!

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