Exciting 2 (+1) year PostDoc position in modelling forest development and wood production! 🌲🌳🪵
Great opportunity at @usys_ethzh with collaborations at @WSL_research
https://t.co/NUjzYk14hH
Are you interested in identifying features in spatial data w/#RStats? Then our (joint w/@ReinhardFurrer ) work https://t.co/UjGYuIstnJ is something for you! Here applied to monthly mean diurnal ranges of climate scenarios for 2081-2100, showing scale-dependent hot/cold-spots
In this tutorial, you will learn best practices, strategies, and tricks when modeling huge spatial data.
📌Spatial Statistics for huge datasets and best practices
👥 @ReinhardFurrer@fluryro@blasifs
📚English/Advanced
⏰ 14:15-16:15 UTC
🖥️ https://t.co/FwLTNM1Ds0
@GillesKratzer 🧐 Fortran is not really a statistics program/language, but if it where, most of our problems would be solved faster.. so should probably replace that picture with something fast and reliable✌️
#showerthoughts Strawberry fields forever - did John Lennon think about non compactly supported Covariance functions?
"Nothing is real"
"But it's all right
That is I think it's not too bad.."
sounds also familiar when I look at my #rstats#spatialstats parameter estimates..
fresh from the press, our research article on identifying features in spatial data is here https://t.co/od70e9MVwp
the same 41st volume of Spatial Statistics features also @JakobDambon's spatially varying coefficient article🙌
we have a new #rstats spam update on CRAN (see https://t.co/M2NTu7kqt2)! it includes new Fortran routines to multiply different submatrices of a spam matrix with different factors -by @FlorianGerber10-
I don't think #Fortran is dead yet! It's fast & it's simple!
search/grep the source code of all #rstats packages on CRAN using its mirror on https://t.co/EQ4a9LBmkI with user:cran and your search pattern! (I learned this from an answer on the r-package-devel mailing list by @eddelbuettel, thanks!)
One component of our module 'STA470 Good Statistical Practice: Computational Skills' is computational reproducibility.
Preaching is easy...it always takes a while until the students have all software components (LaTeX, make, R pkgs) installed. I understand if they are frustrated.
@ReinhardFurrer Fortunately, we could finally find solutions for installation problems and for all operating systems which are "reluctant" to reproducibility -so to speak- we have an alternative using the rstudio server via browser; provided by the extraordinary IT-team from the math department
The #rstats-pkg-spam website is updated as well.
Btw. spam_2.3-0 features a new function to generate a random sparse matrix (thanks to Florian Gerber). See https://t.co/Vct4VCjGdy for all recent changes.
https://t.co/H5RjSiSutc
Nice to see how the update of our spatial package 'spam' propagates to the different CRAN check https://t.co/JNsyYIYdGC
Long story short:
spam v2.3-0 is on CRAN!
https://t.co/94jytkvIee
#rspatial, #Stats
(Thanks to CRAN maintainers and @fluryro)