In this week’s Brief, the second in our series on statistical thinking, we discuss WWII convoys; our course spotlight is
- July 10 – Aug 7: Spatial Statistics for GIS Using R
See you in class!
Founder, Author, and Senior Scientist
Statistical Thinking 2
Safety in Numbers – Calculating Probabilities for Convoys
Early 1942 was a critical period for the Allies in WWII. Russia was on its heels, with German armies at the gates of Moscow and preparing an offensive in southern Russia. Alone among the Allies in its ability to inflict major casualties on Germany, Russia depended in part on Atlantic/Arctic convoys for supplies. Astute assessment of the probabilities involved in convoy operations […]
World War II bomber pilots had a short life expectancy – just under half the British pilots were killed in action. Seeking to reinforce aircraft to improve survivability, the US Army Air Forces consulted Prof. Abraham Wald at the Statistical Research Group in New York (attached to Columbia University). Prof. Wald’s surprising advice was [… ]
Word of the Week
Polytomous, applied to variables (usually outcome variables), means multi-category (i.e. more than two categories). Synonym: multinomial.
July 10 – Aug 7: Spatial Statistics for GIS Using R
In this course, taught by Professor David Unwin, co-author of the text Geographic Information Analysis, you will learn how to:
- Represent spatial data in R
- Use spastat to analyze patterns in point data, and detect non-randomness
- Use spdep to analyze patterns in area data, and measure spatial autocorrelation in lattice data
- Use gstat to analyze continuous field data and create contour maps
See you in class!
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