Links

Resources

How to structure an intro/summary paragraph:
https://www.nature.com/documents/nature-summary-paragraph.pdf

Geospatial Packages in R
https://twitter.com/yohaniddawela/status/1772595205042032927?s=20

Hi Res Imagery Resources:
https://twitter.com/yohaniddawela/status/1777300378087731378

Satelite-based income (or GDP) determination:
https://twitter.com/yohaniddawela/status/1779830051212578959

Great GEE datasets:
https://gee-community-catalog.org/projects/global-mining/

How to write a paper:
http://www.howtowriteanacademicpaper.com/index.html

GEE textbook
https://www.eefabook.org/

Misc tips for good non-fiction writing
https://www.julian.com/guide/write/intro

How to design a good poster:
https://twitter.com/iamscicomm/status/1532895329045168133

Awesome teaching resources for causal inference
http://mixtape.scunning.com
https://nickchk.com/causalgraphs.html

Generic advice for grad students
https://medium.com/@paul.niehaus/doing-research-18cb310529e0

Academia -> industry advice
https://twitter.com/LifeAfterMyPhD/status/1549496279163580416

Best intuition on the Lagrange multipliers approach to multivariate constrained optimization (a workhorse in math modeling):
https://youtu.be/5A39Ht9Wcu0

Cool data analytics class materials using R and tidyverse (from Nick Hagerty at Montana State)
https://github.com/msu-econ-data-analytics/course-materials?tab=readme-ov-file