Goldman Sachs Report “Gen AI: too much spend, too little benefit? https://www.goldmansachs.com/intelligence/pages/gs-research/gen-ai-too-much-spend-too-little-benefit/report.pdf?ref=wheresyoured.at
Category: memex
Trade Flows for Wood
Worldbank’s World Integrated Trade Solution: https://wits.worldbank.org/CountryProfile/en/Country/IND/Year/LTST/TradeFlow/Import/Partner/by-country/Product/44-49_Wood
Potential material for teaching
Statistics for ecologists: https://statistics4ecologists-v2.netlify.app
Active Statistics: https://avehtari.github.io/ActiveStatistics/
Transforming Crop Breeding with Trait Extraction from Drone Imagery
Quick popsci explanation of drone use in breeding: https://www.seedworld.com/us/2024/02/13/transforming-crop-breeding-with-trait-extraction-from-drone-imagery/
Superindex and subindex in ggpairs axes labels
I was having problems on the syntax to get the axis labels with subindices and superindices, as it didn’t work as in ggplot2. The trick was to use a single expression() and specifying labeller = label_parsed)
Example:
resin_bv |>
ggpairs(columns = c("canal_size_bv", "canal_area_bv", "canal_density_bv"),
columnLabels = c("Canal~size~(mm^2)", "Canal~area~('%')", "Canal~density~(n~cm^{-2})"),
upper = "blank",
labeller = label_parsed) +
theme_bw(base_size = 14)
greenR: Green spaces in R
Yesterday I was attending the Urban Forest Futures conference and there were several interesting presentations. Here is a couple of links to work that was mentioned:
- greenR: “an R package that enables the quantification, analysis, and visualization of urban greenness within city networks” https://github.com/sachit27/greenR/
- Wildcounts: “supports and celebrates people documenting the changes in wild nature” https://wildcounts.org/
duckplyr: dplyr + DuckDB
DuckDB released a new R package – duckplyr, which enables running dplyr functions using the DuckDB engine on the backend (for large datasets)
https://github.com/duckdblabs/duckplyr
SQL: I always need a refresh
The Querynomicon by “Mad Arab” Abdul Alhazred or Greg Wilson. Your pick.
https://gvwilson.github.io/sql-tutorial/
I haven’t done an animation in R in ages
So I needed to remember how to do it. Thie post “Building an animation step-by-step with gganimate” is pretty helpful:
https://www.alexcookson.com/post/2020-10-18-building-an-animation-step-by-step-with-gganimate/