Ben Black

A paper on land use change modelling without a single map in it: IMPOSSIBLE! Well we did it with our latest article in Environmental Modelling & Software in which we highlight the benefits of thinking outside the 'status quo' for model calibration: doi.org/10.1016/j.envs… A 🧵

🌍 Our new research shows that climate policies have had a real impact in reducing GHG emissions, scaling up renewables & energy efficiency, & protecting forests. While current policies are far from sufficient, they put us in a much better position compared to a world w/out them

HI @Eurostar I requested a bicycle reservation for an upcoming trip via email 9 days ago. It would be great to have a response so I can plan subsequent travel. Surely it can't be that hard to confirm?

Finally out: An investigation into public support for phasing out conventional cars (ICEVs) in Germany - finding that many people are in favour of phasing out ICEVs completely by 2040. Good news? Well, yes and no. 🧵👇

@awunderground @rstatstweet @posit_pbc What changes it makes do you find annoying? I have found when switching between source and visual editor views it changes html <div>’s which can break the code. Wonder if it is possible to turn off this feature?

If one person on a project uses the RStudio/@posit_pbc visual editor it forces everyone to use the visual editor and it has annoying behavior about changing the underlying source code. RStudio is awesome but this behavior is not. #rstats

@matloff @adamTford Thanks for a good read with very succinct points esp. re: vectors. I began with an intro to R course that only taught Tidy but since branching out on my own I use 99% base R, however I want to at least know/understand the Tidy dialect too.

@adamTford Your tweet on base-R 1-liners is a 1-line version of my Tidyverse Skeptic essay, tinyurl.com/y3hv953l :-)

I want to replace the value in a cell in something the kids are calling a 'tibble'. In baseR, it was a simple 1 liner for a dataframe: df[column#,row#]=newvalue What's the Tidy version? #RStats #BaseRforLife #AntiVerse

@mukesh_ray @rstatstweet But as others have mentioned, depending on your operation/operating system parallelisation might not result in big benefits because of the overhead time, especially on Windows which is not capable of forking.

@mukesh_ray @rstatstweet I compared multiple parallelisation packages in R and by far the easiest to get start with is the future package and the family of future_apply functions. In your case perhaps applying over a list of rasters or layers in a stack?

Hi R Community. What is the best and easiest approach to parallel processing in R. I want to speed up the raster processing and all the examples till now seems quite complex. #rstats #GIS #rspatial #remotesensing #rcommunity #DataScience

@cedollinger @rdpalacio Hi sure thing, I uploaded the code to github: github.com/blenback/Bitsn…

Here's how to organize your research for improved productivity and reproducibility I will show screenshots of my own research for illustrative purposes. Follow along here👇

@aetiologic @rstatstweet Unless you really want to avoid a list why not use split(DF, df$col) followed by names(unique(df$col))?

#rstats Is there a way to take a large dataframe and generate N child dfs, each child named for, and holding only, records with 1 unique value of a categorical variable, i.e. magic_function(diamonds, color) yields dfs: E I J H F G D, where "E" df has only color=="E" values ?

@researchremora @rstatstweet Nice! I’m just getting started with rayshader, I’m struggling with lighting in the final scene with render_highquality. Have you posted your code for this?

As requested over DM, today's population density map is the Netherlands. Lots of labels here so I hope they're all correct! #rayshader adventures, an #rstats tale

@moaziz_tweets @JUrbina10 @rstatstweet This is a base R solution, I find it helpful to understand these before jumping into the tidyverse because then you can do both.

@moaziz_tweets @JUrbina10 @rstatstweet Regex <- paste(“pattern1”, “pattern2”, collapse = “|”) DF$new_column <- sapply(DF$old_column, function(x) grep(x, Regex, value = TRUE)) Others could probably make it even neater/shorter.

Do you use #Python or #RStats for data wrangling and cleanup? What are the limitations of each while working with a large dataset? #DataScience #DataAnalytics

@mammaldreams @rstatstweet All scripts named numerically with a master script that calls them with source() (useful if sharing alongside a research paper). Git for version control. I think using collapsible code sections to organise tasks within scripts really improves readability: support.posit.co/hc/en-us/artic…

Attn #rstats: this is a "mostly self-taught" question. How do y'all organize your scripts? How many Tasks do you have a single script do, and how many scripts do you end up with in a single project? I'm winging it, but I'm sure there are some hard-learned lessons out there.

As a PhD I often feel pressure to be pursuing research goals which can lead to neglecting other learning. Today, I took the time to go through a great resource on version control with GitHub from @ResulUmit: #1" target="_blank" rel="nofollow noopener">resulumit.com/teaching/git_w…. I will be recommending this to all colleagues!

10/10 Big thanks to all collaborators who helped in this project! All analysis was conducted with #RStats and because #OpenScience is the way to go, data and code will be available here: doi.org/10.5281/zenodo… Next up: Future land use simulations for Switzerland 🇨🇭 until 2060

9/10 We suggest that what is needed is a universal protocol for the calibration of statistical models as part of CAs that is generalisable across the popular software applications. Encouraging more consideration of direct validation without overwhelming practictioners ⚖️

A paper on land use change modelling without a single map in it: IMPOSSIBLE! Well we did it with our latest article in Environmental Modelling & Software in which we highlight the benefits of thinking outside the 'status quo' for model calibration: doi.org/10.1016/j.envs… A 🧵