Helpful links

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