J-Cleeland/2017-02-03-graphics-imas

Graphics and maps in R

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

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

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

Create Maps with R Graphics

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?

DataScienceHobart#3

How to add ice edge to maps?

DataScienceHobart#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.

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