I’ve been doing some teaching, or demonstrating, how I use R software for data analysis in turf-related matters. See the full list of rturf posts.
The initial project is about stimpmeter measurements and ClipVol.
I’ve made a number of Shiny apps, and have collected them all on this new page.
These are designed either to show a set of data, or more likely, to make some calculations with the inputs allowed to vary.
I’ve repeated an analysis of tweets and accounts from another year in the turf industry. Last week I shared some overall results and category-specific rankings.
I've repeated the #TurfTwitter analysis for 2020 and put the results in a searchable and sortable Shiny app.
I made a few small updates to the MLSN K calculator. This was the first Shiny app I made, back in 2014. You can see all of them—the Turf Twitter ones, the Hargreaves ET calculator, irrigation requirement demos, PACE Turf’s GP avatar generator, and more, at the ATC Shiny apps page.
I made a note a couple months ago to make animated charts showing the cool-season (C3) and warm-season (C4) turfgrass growth potential over a 100+ year period for Tokyo. I was interested to see what those charts would look like.
Sean Heath wrote with this question:
“do you or anyone else know of data being tracked for sunlight or cloud cover? Specifically how much sunlight did Northern VA receive this year with all the rain and cloud cover?