Wondering what this Git thing is? https://www.rstudio.com/resources/videos/happy-git-and-gihub-for-the-user-tutorial/
Local
- Data Science Hobart https://twitter.com/DataScienceHbt, https://datasciencehobart.github.io/
- R Ladies Hobart https://twitter.com/hashtag/RLadiesHobart?src=hash
- Gentle R http://australianantarcticdatacentre.github.io/GentleR/About/
- HRUG Hobart R Users Group https://www.meetup.com/Hobart-R-Users-Group/
Worldwide
- Twitter #rstats
- Stackoverflow #r topic
- Stackoverflow #ggplot2 topic
- Spatial StackExchange
- R spatial mailing list
- R help mailing list
-
ggplot2 http://swcarpentry.github.io/r-novice-gapminder/08-plot-ggplot2/
-
R leaflet https://rstudio.github.io/leaflet/
-
mapview https://environmentalinformatics-marburg.github.io/mapview/introduction.html
General resources
Introduction to visualising spatial data in R by Robin Lovelace and James Cheshire
Intro to Spatial Analysis in R
- GGPLOT2 http://ggplot2.org/book/
- R GRAPHICS COOKBOOK: http://www.cookbook-r.com/Graphs/
- Applied Analysis R Spatial: http://www.asdar-book.org/
- Intro to R Spatial: https://books.google.com.au/books/about/An_Introduction_to_R_for_Spatial_Analysi.html?id=zsf-AwAAQBAJ&source=kp_cover&redir_esc=y&hl=en
http://pad.software-carpentry.org/DaSH-R
-
overview of graphics in R The R Graphics Landscape
-
graphics tips and tricks
http://rpubs.com/cyclemumner/aad-mapping-tips
- group session about problems, identify some examples to explore
These are all open questions! We can use this to collect resources, all work in progress.
- How to get data on oceanographic features and make nice maps?
- How to add ice edge to maps?
Exactly what we do will depend on the group session.
- get some data sets together and make a few figures, discussing problems and solutions
- work through software carpentry, and adapt with discussions: http://swcarpentry.github.io/r-novice-gapminder/08-plot-ggplot2/
- work trhough Data Carpentry: http://www.datacarpentry.org/lessons/#geospatial-data-workshop
Shapefiles
raster::shapefile("myfile.shp")
Rasters, grids, images.
raster::raster("myraster.tif")
raster::brick("myRGB.tif")
raster::brick("myMegaSplat.nc", varname = "Mega")
raster::stack(c("mydata1.nc", "mydata2.nc", "mydata3.nc"))
Packages with data.
maptools, rworldmap, maps, orsifronts,
Here I list packages we should also look at so we know what they have.
https://github.com/Bart6114/artyfarty
viridis
RColorBrewer
colorspace
leaflet
mapview
raster and rgdal
sf
ggplot2
base, lattice, grid
ggvis and leaflet and plotly