web/tech

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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.

These posts from 2017 had the most pageviews this year. Here they are, counting down from ten to one. [10] June, How much N is in rain and snow? One hears all kinds of numbers.

I’ve written more than 100 blog posts this year. A few of them were read by many – hundreds, and for a few posts, more than 1,000 – people. The median post from 2017 got 184 pageviews.

This is an interesting poll by David Phipps. He wants to know what is the preferred social media platform for work. As I look at the poll on Twitter, as it stands now, Twitter is the winner in a landslide at 91%.

Five years ago I wrote about my workflow to keep up with turfgrass information. From 2012, Productivity 1: what’s my workflow? and Productivity 2: my turfgrass information workflow. In the first part, I explained that I used

Turfgrass growth is affected by temperature. The temperature-based turfgrass growth potential (GP) is an easy way to look at how the actual temperature is related to the optimum temperatures for growth.

The MLSN guidelines were developed from a large dataset of soil tests collected from good-performing turf. You’re probably familiar with the MLSN guideline as a minimum level, with fertilizer recommended to make sure the soil doesn’t drop below the guideline.