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The Landing: where data and forests meet.

The analyses we complete with forestry data are often revealed in a single visualization. We might share this visualization with our decision makers with hopes it conveys the depth and complexity of an analysis we just completed. 

Visualizations come in all shapes and sizes, from standbys like static charts and figures to complex data dashboards and interactive web applications.

Which visualizations work best for you and your organization? Forestry data can have multiple layers. I encourage you to experiment with new kinds of visualizations in your daily work. 

Matt Russell 

Florence Nightingale, whose 200th birthday is being celebrated this year, popularized polar area diagrams. Think of them as a mix of pie charts and histograms.

How can we use polar area diagrams to visualize when forest inventories occur across the United States? Not surprisingly, the majority of forests are inventories in the summer months. New blog post shows how and why forest analysts should think about using this visualization.
Read the post.

Get your data from a Google Sheet into R

If you’re like most data analysts, you're likely using Google Sheets. New post shows how to import forestry data into R from a Google Sheet.

Assumption of linear regression: a review

Do you you linear regression in your work? Don't forget about its assumptions and how to spot when you've violated them.
Have you ever asked a logger to share with you their feelings and emotions? Well, maybe not. But we can quantify the negative and positive tones of their written word.

New blog post shows how a sentiment analysis can reveal attitudes and pessimism/optimism in the forest products industry.
Read the post.
EVENT: The American Forestry Conference (July 27-30, 2020; virtual)
Arbor Custom Analytics LLC