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.

ABOUT THE AUTHOR: I graduated from Indiana University Bloomington with a B.S. in Chemistry and a minor in Biology. I've worked in R&D, analytical, and clinical labs over the years and have always found myself in the role of computer and software expert for my team. I started working at Golden Software in early 2015. Helping our customers discover new ways to use our software and constantly learning from them makes everyday new and interesting. When I'm not at work I enjoy spending time outside in the garden, discovering new gluten free recipes in the kitchen, and working on my house.


Calculating the Average Contaminant Plume Concentration in Surfer 14

Calculating the Average Contaminant Plume Concentration in Surfer 14
I recently ran across an article that was written by an experienced Surfer user, Joseph A. Ricker. The article, A Practical Method to Evaluate Ground Water Contaminant Plume Stability , provides a workflow for determining the average contaminant plume concentration that I thought our Surfer community may find interesting. Below, I've summarized the...
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Adding Wells to Cross Sections in Strater 5

Adding Wells to Cross Sections in Strater 5

Cross sections are an important tool in illustrating subsurface geology.  Among the many new features added to Strater 5 are several new cross section options including water level display, retaining custom levels, and adding wells to an existing cross section. This blog will address how a new well can be added to a cross section. For this example, we will use the Cross Section.sdg sample file that ships with Strater.

The Strater 5 sample file “Cross Section.sdg” contains a cross section with four wells, well headers, two inset maps, a horizontal cross section, a depth log, and a legend. We will further manipulate this file by adding a new well and reshaping the default layers.

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Recent Comments
Jennifer Woodson
Hi again Paul, You may also want to look into using Strater template (*.tsf) files if you find yourself recreating logs quite a b... Read More
Tuesday, 19 July 2016 12:25
Jennifer Woodson
Hi Paul, When you say you're attempting to copy a well, are you attempting to copy from a data table, or are you copying a log fr... Read More
Tuesday, 19 July 2016 12:01
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Graphing the Growing Season

Graphing the Growing Season

Spring bulbs are beginning to bloom, and with each reminder that spring is on the way I think more about starting my vegetable garden. Every gardener knows that the question of when to plant is always a struggle.  Maximizing the growing season while minimizing plant loss due to surprise cold snaps and frosts is always a balancing act. Living at high elevations can make this even more difficult, so I decided to do some research and see if I could get a better picture of what my garden and I are up against. 

The first thing I needed to find was information about the temperature tolerances for vegetables.  I found a great table at the Colorado State University Extension that provided acceptable germination temperatures as well as information on how temperature-hardy the young plants are.  I created a floating bar chart in Grapher 12 to depict this information.

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3D Ski Maps: Tour the Mountain Virtually Before Your Trip!

3D Ski Maps: Tour the Mountain Virtually Before Your Trip!

Ski season is officially underway! We’ve been getting a lot of snow in Colorado and powder fever is setting in. As a result, the LiDAR Magazine article introducing FATMAP’s interactive 3D Ski Maps caught my attention. When I first moved to Colorado, I spent an entire season learning how to navigate my favorite ski resorts and find the best ski runs for me. The trail maps kept me from getting lost, but they don’t provide much information about terrain. As a result, I occasionally found myself on a run that was beyond my skill level.  My first time skiing a Colorado mountain, I ended up facing a section of steep moguls and riding down them on my backside!  Of course, I can’t even count the number of times I accidentally slowed down just before a flat section of trail when I learned to snowboard. An interactive 3D ski map in my pocket would have saved me lots of bumps, bruises, and frustration.

The new FATMAP Ski app combines high resolution imagery with 3D terrain information to provide more true-to-life trail maps for users. Maps of many US and European ski resorts are available as free downloads, and advanced features such as live location tracking and gradient information can be purchased for each location. While I was exploring the maps in this new app, I began to wonder if I could create a similar map using Surfer and Voxler.

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The Sunniest Areas in the U.S. Identified With MapViewer

The Sunniest Areas in the U.S. Identified With MapViewer

As December ushers in snowy days and fewer daylight hours, I find I am grateful for every minute of sunshine I can get.  Even ten minutes outside in the sun can renew my energy for the remainder of the day.  I grew up in the Midwest where winters often consist of many grey snowy days and very few opportunities to enjoy the sun.  As a result, I find winters in Colorado much brighter and happier.

As the days got shorter and shorter before the winter solstice, I found myself wondering which areas in the U.S. receive the most sunshine each year.  I found some historical sunshine and cloud data online consisting of the total hours of sunshine each month at over 250 monitoring locations in the U.S collected between 1908 and 1992.   I used this data to calculate the average number of sunny days per year at each location and then plotted the results as a gradient map in MapViewer 8 GIS software.

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