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The Landing: where data and forests meet.

It's that time of year where every faculty member at every college and university is saying "Where did the summer go?" This summer is no different, and like many others, I'm learning how to transition my statistics class from in-person to online.

Do you have questions about how to coordinate breakout rooms in Zoom? I learned the ins and outs of that this summer. Want a recommendation for the best digital pencil to use with an iPad for online whiteboards? I tried several and am happy to talk more about it. (It's the CLCCON Stylus Pen.) 

One thing I will miss by not having an in-person class is a panel session I held with professionals that discussed "statistics in the real world". It was a great discussion with researchers from agencies and industries that use statistics in their everyday work. I've facilitated this for the last three years and one of the major themes that has always come through is that our statistics classes don't cover many concepts and tools we use in our everyday work. 

That's why I'm wondering if you can help me by being a part of my statistics class this fall.

I'm looking for professionals to leave me a voice mail that answers the question "What is one thing you wish you learned in a statistics class that you use in your daily work?"

You can leave me a 90-second voice mail on SpeakPipe. I will compile the responses and share with students in my graduate statistics class NR 5021: Statistics for Agricultural and Natural Resources Professionals at the University of Minnesota this fall. I'll compile the responses in audio form and share it here after all messages are in.

Thanks for your help. I hope you're happy and healthy.

Matt Russell 

The R program is one of the most popular programs being used by forest analysts today. In my searching for all forestry packages in R, the keywords “tree” and “forest” do not help much when searching for forestry packages. Read the post to find out how many forestry packages R has.
Read the post.
Forget spreading and gathering your data, try pivoting instead. New post describes how to use two new functions available in R for reshaping your data. (HINT: it uses the tidyverse.)
Read the post.
Everywhere you look there's a virtual conference. Here are my reflections on attending the American Forestry Conference, a virtual conference held last month that covered the forest products industry and how forestry businesses can reshape the future US economy.
Read the post.
Now available online is the paper "Nine tips to improve your everyday forest data analysis" from the Journal of Forestry. This is an article for forestry professionals that use data in their daily work. The article does not emphasize specific analysis techniques or procedures for summarizing forestry data. Instead, nine tips are provided that focus on strategies for more effective data analysis.
Get the paper (free access).
I'll be leading a short workshop on using R Statistical Software for Invasive Species Applications at the Upper Midwest Invasive Species Conference. This virtual conference will take place November 2-6, 2020. Registration for the conference is now open.
Arbor Custom Analytics LLC