Setup blog post by Aaron Schiff: https://schiff.co.nz/en/blog/r-and-vscode/
R in Visua Studio by the Visual Studio Code folks: https://code.visualstudio.com/docs/languages/r
Category: memex
Suggested books
I was asking about introductory Forest Mensuration and Forest Growth books and got:
Forest mensuration
- Forest measurements by Avery and Burkhart (fifth or latest edition)
- Tree and forest measurement by PW West (metric units!).
- Prodan et al. 1997. Mensura forestal. https://repositorio.iica.int/handle/11324/15038
- Burkhart, HE, TE Avery, and BP Bullock. 2019. Forest Measurements. Sixth edition. Waveland Press https://www.waveland.com/browse.php?t=668&r=a|975
Forest growth
- Modeling forest trees and stands by Burkhart and Tomé 2012. https://link.springer.com/book/10.1007/978-90-481-3170-9
- Forest stand dynamics by Hans Pretzsch
DevOps for data science
It looks like a handy book https://do4ds.com
Overinvesting on Artificial Intelligence
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
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/