Come Code With Us! Just posted -> paid opportunities to build interactive data visualization using #rstats, #rspatial, & #shiny: https://t.co/beVlWBjDNp
We have just published a big update to our indicator on #GrizzlyBear Conservation Ranking in #BritishColumbia. https://t.co/U3iJghmfLK. Provides a breakdown of conservation ranking and rank factors for 55 Grizzly Bear Population Units, including an interactive map
Our Summer School webinars will start Monday and run through Friday! Check out the complete rundown of events and speakers at https://t.co/MhpDTYKz1e and follow our Youtube Channel https://t.co/5Caa1V6uxQ to tune live for the action.
At https://t.co/scdpriNYCW, you can find the second part of our #rspatial workshop. It shows how to calculate and visualize landscape metrics in R. All of the slides, scripts, and datasets are at https://t.co/9689q8pP0X. #rstats#rspatial#landscapeecology
A brief list of recent changes to tidyhydat 🏞️🇨🇦:
- Cool @rOpenSci docs site: https://t.co/4TG17kPjqm
- print and plot methods that are hopefully more useful
- add run off example to vignettes
- a bunch of bug fixes
- allowing alternative locations for the database
Registrations for the Summer School 2020 are now open! https://t.co/RlVewGEEQe (Wageningen International Conference Centre, Aug 16–23, 2020). Special theme of the SS2020 is: "Developing Machine Learning Algorithms for spatial and spatiotemporal data science problems". #rstats