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.
Andrew Dudley has been a member of the Golden Software product management team and for nearly 7 years and is the product manager for both Voxler and Didger. He enjoys anything related to maps, making maps, mapping software, GIS, etc. In his free time he spends snow boarding, listening to live music, and spending time with his family.

Customer Spotlight: Willem Havermans Uses Voxler & Surfer To Visualize Groundwater Contamination

Golden Software customers possess a broad assortment of backgrounds, from earth science and engineering to education and politics. This vast background results in a variety of uses for Golden Software’s products. Each customer uses our software in their own unique way, and we are pleased to share these stories. This blog features Willem Havermans, a senior engineering consultant for MWH Global, who uses a combination of Voxler and Surfer's mapping software to visualize groundwater contamination levels and generate conceptual remediation models for their areas of interest.

Willem Havermans has been a faithful user of Golden Software applications dating back to early 2000. He has purchased multiple versions of Surfer's mapping software. He also uses Voxler's 3D data visualization capabilities on a daily basis and has held a Strater license for the past few versions. Havermans, working with MWH Global, uses a combination of Voxler and Surfer to perform 3D data processing of surface and subsurface soil contamination and surface creation. He uses Goolden Software's mapping software to create a strong basis for generating conceptual models of groundwater contamination and in planning of remedial designs.

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A View of Colorado Distilleries Using Mapping Software

As many of you know, the craft beer explosion has been hitting Colorado for years, becoming one of the main staples of the Colorado economy with hundreds of breweries littered across our colorful state.  Sampling craft beer at local breweries, a very popular activity among many adults, has become a mainstay of the Colorado culture. This phenomenon is not limited to beer; the craft beverage industry seems to keep growing and growing. Craft distilleries are also popping up all over the place. Colorado is now home to over 70 craft distilleries, providing a home for locals to sip some of the best tasting and finest quality spirits in the country. This artisan drink trend is creating a new sub-culture of bar-goers, where the distillery tasting rooms are their new target destinations.

As this trend increases in popularity, my curiousity rises, and I ask myself, “Where are these 71 distilleries located across the state? Are there any near my neighborhood in Denver? ” I put together an easy solution by using a combination of the internet, Surfer, MapViewer, Google Earth, and beginner-level GIS experience. I started the project by doing a little internet research to find the addresses of the distilleries in Colorado. Once I had done so, I used our mapping software Surfer to generate a data table of the addresses that were then geo-coded. With data that is geo-coded, it was fairly simple to create a post map in Surfer of all of the distillery locations across Colorado. Finally, I exported the post map from Surfer in KML format and imported it into Google Earth for seamless display of the distillery locations on that platform. I used the following approach to answer my questions :

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Use Voxler’s Worksheet Window to Quality Control Data

Data is the foundation of a successful modeling project. We all have had an experience where high quality, mistake-free data was not available for a project and lesser quality, problematic data was the only thing available. These problematic datasets can contain a variety of issues not limited to missing data values, missing labels, incorrect data values, and outliers; all of which can cause inaccurate projects. With the release of a the latest version of Voxler 3D Visualization mapping software this past fall, the new worksheet window allows real-time editing of your imported data; Now you can leverage Voxler as a valuable data quality control tool for correcting problematic 3D point cloud data and well data. This blog will detail how to effectively QC (quality control) the problematic data issues directly within Voxler's mapping software using the new worksheet window.

QC missing data values:

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Overlay Images and Vectors on Your Voxler Project to Create Meaningful Models

High resolution imagery and a shapefile draped over a HeightField in Voxler.

Voxler mapping software is Golden Software’s premier 3D volumetric modeling program. Voxler mapping software does an excellent job generating detailed 3D models by seamlessly combining your XYZC point data, Surfer grids, DEMS, and well data in true 3D space. With the latest release of Voxler, there is now a way to incorporate GIS imagery and vector files into the 3D context of your project. You can now add image overlays and vector overlays that drape over any 3D surface or HeightField.

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Recent Comments
Andrew Dudley
Hi, Voxler does not support the associated attribute data that is with SHPs; it only supports the line geometry associated with th... Read More
Tuesday, 27 June 2017 15:49
Andrew Dudley
Hi James, Thanks for posting your question. The only file format that is 3D in nature that will be of the entire scene (other exp... Read More
Tuesday, 27 June 2017 16:00
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Geophysics for Geothermal Exploration Using Golden Software's Lineup of Mapping Software

The Dewhurst Group is a global geophysical exploration company that specializes exclusively on site selection for geothermal exploration and geothermal power development. The Dewhurst Group consists of a team of geologists, engineers, and geophysicists that integrate geophysics, geologic mapping, and geochemistry to pinpoint geothermal sources for electric power generation. The group relies heavily on both broadband magnetotelluric (BMT) and low frequency magnetotelluric (LMT) instrumentation.  MT instruments are designed and built in collaboration with the Russian Academy of Sciences and Vega Geophysics. Typically, the instruments are capable of acquiring resistivity values from a few meters in depth to many kilometers. With the LMT equipment it is often possible to gather data at depths as far down as the Mohorovicic discontinuity, the boundary between the Earth’s crust and mantle. Information at such depths can be helpful in understanding the tectonics that might drive a shallower geothermal source and related “plumbing” system.

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