rturf

Web applications for R that make calculations or show data.

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.

A few years ago I saw Julia Silge’s post on Ten Thousand Tweets. I thought that was an interesting analysis, and I made a note to do a similar analysis once I had sent 10,000 tweets.

I used the rtweet package to collect turfgrass community tweets from 2017. I had learned of this package from Bob Rudis’ blog post about rtweet. At the end of the year, I had a bit of time, and a lot of curiosity, so I finally tried it.

The turfgrass growth potential (GP) is a number that represents the proximity of the actual temperature to the optimum temperatures for growth. GP is used for a lot of things. One can use it to make estimates of nutrient use, estimates of topdressing amounts, and to find the time in autumn when the cool-season growth potential starts to exceed the warm-season growth potential.

Yesterday I read this post by Shirin Glander about social network analysis and topic modeling. She showed a chart of number of followers and number of tweets per day, with both axes on a log2 scale.