Graphics and maps in R

R set up

Wondering what this Git thing is? https://www.rstudio.com/resources/videos/happy-git-and-gihub-for-the-user-tutorial/

Getting Help

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

The Good Stuff

• 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

Extra stuff

General resources

GIS with R

Introduction to visualising spatial data in R by Robin Lovelace and James Cheshire

Create Maps with R Graphics

Intro to Spatial Analysis in R

Books

• 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

interactive session

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

Questions

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?

https://github.com/DataScienceHobart/2017-02-03-graphics-imas/issues/3

• How to add ice edge to maps?

https://github.com/DataScienceHobart/2017-02-03-graphics-imas/issues/1

Illustrations

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

Broad topics to touch on

Reading in data

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.

• oce
• marmap
• oceanmap
• OceanView
• orsifronts
• ocedata
• RmarineHeatWaves
• elevatr
• mregions

colours

https://github.com/Bart6114/artyfarty

viridis

RColorBrewer

colorspace

mapping

leaflet

mapview

raster and rgdal

sf

graphics paradigms

ggplot2

base, lattice, grid

ggvis and leaflet and plotly