Mackay Minutes 2016/09/15

From Norsemathology
Revision as of 14:43, 16 September 2016 by Fubini (talk | contribs) (→‎How did we do on our todo list?)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

MacKay website, and minutes

How did we do on our todo list?

  • Andy:
    • I'll get Laura the values of the vectors in the tensor outer product, so that she can check for lat/long regression of region vector, and meteorological regressions, if possible.
    • I'll look at 1907, 1917, and 1921, to see if there was anything exceptional in the MacKay reports (or elsewhere).
    • I'll be looking for more meteorological data from Teresa, and checking with her contact suggested in her last email.
  • Madison:
    • We need a graphic with the (nine) regions of Nova Scotia
    • Both Madison and Laura will be working on the abstract for the poster competition
    • Madison will check on the 1915 and 1920 data, to see why it appears that becoming common seems earlier than first appearance.
  • Laura:
    • check for lat/long regression of region vector, and meteorological regressions, if possible, of the yearly .
    • Both Madison and Laura will be working on the abstract for the poster competition
  • Steve: off the hook

The Readings

The Climate of Nova Scotia (from The Climate of Canada).

Moving forward

  • Poster Session Deadline approaches in October...
  • Talk for the MAA:

Pioneering Climate Science and Data Analysis: the work of Alexander MacKay (1848-1929)

in the category of

Interdisciplinary Topics in Mathematics (Statistics, linear algebra, GIS, Botany, climate science)

in the contributed papers section.

Our objective would be to

  1. Describe MacKay as a brilliant quantitative scientist, and his citizen science project (Andy)
  2. Describe the summary data, and how we found it; associated data (e.g. climatological data); and problems we encountered, how we solved them, etc. (Madison)
  3. Describe climate-related discoveries so far (Laura).

http://jointmathematicsmeetings.org/meetings/national/jmm2017/2180_maacall

In the News

Todo for next week

  • Andy:
    • Continue with TSVD analysis
    • Prepare and submit abstract for MAA talk
    • Get vector components to Laura for regression analysis
  • Madison:
    • Keep working the GIS component
    • Take care of checking data for errors
    • Look for errors in 1915
  • Laura:
    • Perform regressions on TSVD vectors
    • Get early spring averages and try a regression on the yearly component
  • Steve:
    • will look into how to animate the FAT and the model predictions in R

Next meeting

Thursday, 9/22, 3:00

Sandbox