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Research Ecologist @USGSAquaticLife. manatees, movement & spatial ecology, seagrass, #Rstats, #GIS, #Bayes, #ADHD. Personal account. he/they banana slug/beaver
Current researchhttps://www.usgs.gov/centers/wetland-and-aquatic-research-center/science/health-effects-and-behavioral-response-florida
ResearchGate profilehttps://www.researchgate.net/profile/Daniel-Slone-2

The street I grew up on (in the Seattle suburbs) is being renamed for the sci-fi writer Octavia E. Butler! And I helped to make it happen!

This is fabulously exciting.

#books #sciencefiction #OctaviaButler #Seattle

https://kuow.org/stories/lake-forest-park-names-street-after-sci-fi-author-octavia-e-butler?fbclid=IwAR3VRnPBgAJlDjrFC2e7OX2PKDl1FIM0I-5q5qrtzL5R9G-V5G-axfEj0Xg

Lake Forest Park names street after sci-fi author Octavia E. Butler

Now looking sideways at the ~CA$3600 gold OA fee for MEE https://besjournals.onlinelibrary.wiley.com/hub/journal/2041210X/about/open-access (*if* I join the Brit Eco Society first). @FredBarraquand, any more news on plans for a Diamond OA Eco/Evo journal ... ?
I just released v1.3.0 of my #rstats ggplot2 extension ggpointgrid (https://github.com/nevrome/ggpointgrid). This version features a faster and more memory-efficient core arrangement algorithm, which I needed for a large map with thousands of samples. I used the opportunity to make the README a bit more clear and verbose. Have a look if you also feel geom_jitter sometimes looks a bit too messy.
GitHub - nevrome/ggpointgrid: Rearrange scatter plot points on a regular grid

Rearrange scatter plot points on a regular grid. Contribute to nevrome/ggpointgrid development by creating an account on GitHub.

GitHub

The #ggblend #rstats package is now on CRAN!! https://mjskay.github.io/ggblend/

ggblend is a small algebra of operations for blending, copying, adjusting, and compositing layers in ggplot2

One problem it solves is making plots independent of draw order: e.g. by using commutative blends, like "lighten" or "multiply"

Blending and Compositing Algebra for ggplot2

Algebra of operations for blending, copying, adjusting, and compositing layers in ggplot2. Supports copying and adjusting the aesthetics or parameters of an existing layer, partitioning a layer into multiple pieces for re-composition, applying affine transformations to layers, and combining layers (or partitions of layers) using blend modes (including commutative blend modes, like multiply and darken). Blend mode support is particularly useful for creating plots with overlapping groups where the layer drawing order does not change the output; see Kindlmann and Scheidegger (2014) <doi:10.1109/TVCG.2014.2346325>.

dplyr 1.1.0 is coming soon

dplyr 1.1.0 is coming soon! This post introduces some of the exciting new features coming in 1.1.0, and includes a call-for-feedback as we finalize the release.