Golden Software Blog

Helping you learn more about the latest product information, tips, tricks, techniques, and customer stories so you can visualize data and communicate results with ease.

Getting a Leg Up on the Registration Process for Public Schools

It seems like the more involved I am with mapping, the more uses I find for creating maps. For instance, I recently came across an article mentioning that choice enrollment deadlines for Jefferson County public schools are nearing.

For those of you unfamiliar with the public school system here in Jeffco, each family is assigned to a neighborhood school, but you can enroll your child in any public school within the county. Sounds great huh? If your neighborhood school is ranked poorly or just doesn’t suit you, you can pick another. But here’s the catch: while the registration deadline for your neighborhood school is typically sometime in August (just before the beginning of the school year), the registration deadline for a non-neighborhood school is sometime in January, and acceptance is determined by a lottery process which is subject to available space.

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Hydrogeologist Maps Brine Plume in 3D with Voxler

One of the most interesting Golden Software user stories that I have recently heard was from an independent Hydrogeologist with Anthropocene Solutions Inc. named Joseph ‘Joe’ Harrer. Joe Harrer uses a combination of vertical EC measurement and groundwater sampling tools with Voxler to perform 3D brine plume modeling. Joe is working on a project where he was hired to do a groundwater characterization of a brine storage facility where initial studies proved that leakage beneath a brine plume has caused an impact to the soil and groundwater and that the impact has been spreading with the groundwater as it migrates down gradient. Local regulations required a full assessment of the plume’s extent and a model of the potential migration of the plume.  In addition, a groundwater remediation system is presently being installed at the site. Joe used our Voxler app for the 3D modeling portion of this project.

Site History and Initial Monitoring

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Building Momentum into 2017

Building Momentum into 2017

The new year is here! 2017 is a book of clean, blank pages waiting to be filled and brimming with potential.

With the beginning of the new year, I, like many of you, set aside time for reflection. It is easy for me to forget just how much was accomplished over the past 365 days when I’m in the midst of projects and tasks of my own. As I look back on 2016, I am pleased with just how much Golden Software has accomplished.

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Visualizing Holiday Travel Statistics with Grapher and MapViewer

Now that Christmas is just days away, I think it’s safe to say that we’ve fully entered into peak holiday travel time. If you’re travelling this holiday season, I don’t have any good advice for how to beat the security lines or what to do if your luggage is lost, but if you’re interested in some fun graphics based on factual data, look no further! I found a gold-mine of data at the U.S. Department of Transportation’s Bureau of Transportation Statistics, and plotted up a few graphs and maps from data that I found interesting.

 

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Calculate Slope for a Site Suitability Model

I recently received a call from one of our Surfer users who was trying to create a site suitability model for a new manufacturing development. The user needed to find areas within the proposed site where the slope was under 10 degrees. The site suitability model required specific slope to be respected; the areas that were under the threshold criteria of 10% would be considered potential locations within the site to locate the new development.

A site suitability model can be easily developed in Surfer by creating a slope grid from a digital elevation model or DEM for the area, masking the slope grid to the site boundary, and creating a contour map that highlights the areas that meet the 10% or under criteria. Since this is such an interesting workflow, I thought it would be a great topic to blog about it so others in the Surfer community could benefit from seeing the approach.

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