Publications by Mickey Campbell
Hovermap Trajectory vs. USGS DTM Interpolation Correction
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
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Modeling Levan and Hovermap Travel Rates
Modeling Levan and Hovermap Travel Rates Author Michael Campbell Introduction In 2016, we ran our first travel rate experiment. Thirty-one study subjects walked 22 transects, each 100m in length, through central Wasatch foothills outside of Levan, UT featuring juniper-sagebrush vegetation. Study subjects were timed with stopwatches, the results...
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CamWordleWorld
CamWordleWorld Author Mickey Campbell What in god’s sweet name have I done? I’ve clearly got too much time on my hands, so I thought I’d do a little data exploration on our ongoing Wordle competition. I exported our CamWordleWorld chat to a text file, and then did some data cleanup to get a table of our daily scores. Here’s that table: ...
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Exploring calculate_vi() Parallel Processing Time
Exploring calculate_vi() Parallel Processing Time Introduction The objective of this document is to provide some quantification and visualization of the differences in processing times produced by parallelization of Katherine’s VisiMod::calculate_vi() tool. I ran every combination of the following: Spatial scope: omnidirectional (“omnidir”)...
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Generating a Symmetrical Slope-Travel Rate Function
Introduction The relationship between slope and travel rates is, generally, that steeper slopes, both uphill and downhill, tend to slow one down while traveling on foot. The specific quantitative nature of that relationship has been explored in many studies, including several of our own. Most resulting slope-travel rate functions are asymmetric...
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Hospitals Data Exploration
Introduction One of the critical inputs to the Estimated Ground Evacuation Time layer (EGET) is point locations of medical facilities. They represent the end points of the travel time analysis that forms the foundation of the dataset. Given that we are in the process of updating and improving EGET, we need to ensure that we are using the best a...
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Monroe Mountain Field Site Sampling (v3)
Update 7/28/2023 Two additional changes were made: Base the land cover part of the masking process on LANDFIRE Existing Vegetation Type instead of NLCD Reduce number of points from 50 to 24 This updated Markdown document reflects the changes above. Update 7/22/2023 After a meeting on 7/6/2023 where I shared the results of the initial site plac...
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Monroe Mountain Field Site Sampling (v3)
Update 7/22/2023 After a meeting on 7/6/2023 where I shared the results of the initial site placement, we decided to make a few key changes to the sampling procedure: Broaden the range of slopes to include areas +/- 30 degrees Limit the sampling area of interest to a bounding box surrounding planned burn units Remove the constraint of only samp...
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Monroe Mountain Field Site Sampling v2
Update 7/22/2023 After a meeting on 7/6/2023 where I shared the results of the initial site placement, we decided to make a few key changes to the sampling procedure: Broaden the range of slopes to include areas +/- 30 degrees Limit the sampling area of interest to a bounding box surrounding planned burn units Remove the constraint of only samp...
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Nearest Centroid Sampling Example
It’s always easier to look at data than it is to talk about data. So, here’s what I was trying to explain in my last email… I’ll create a two-band raster with random values, and run sample_nc() on it using different parameters to see how those parameters result in different sampling schemes. First, I’ll run: nSamp = 10 k = 6 library...
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