Andy Teucher ateucher

library(sf)
#> Linking to GEOS 3.6.2, GDAL 2.2.3, proj.4 4.9.3
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':

Prerequisites

R and RStudio installed
Git installed
GitHub account, with 2FA enabled and both personal and work email on account (or just work email)
Read the BC Policy Framework cheatsheet
Read Git and GitHub are not the same thing

Slides

what is git, how is it different from GitHub
BCGov Github Policy Framework (cheatsheet)

I am on a Mac (2016 MBP 15" with 16GB memory) and am testing out the development version of ggplot2 with sf plotting support.

Overall I am loving it, but I am finding geom_sf to be very slow when plotting larger sf polygons objects. I think I've narrowed it down to the quartz graphics device, which is much slower than X11 on these large objects (however quartz produces nicer graphics than X11).

I would be happy to just use X11 but I do like having plots appear in the plot pane in RStudio, and I believe the RStudio Graphics Device uses quartz on Mac OS and I don't think there's a way to change that. So I'm not sure if this is really a ggplot2/sf issue or if it's a Mac quartz issue... or possibly even an RStudio issue, but I thought I would post it here first to see if others are experiencing the same thing.

I also did the same comparison with sf's plot method - there is still a large difference between X11 and quartz, however overall it is faster than ggplot2::geom_sf.

Inte

Using View() is very slow - RStudio v1.1.336 on Windows 7 in an enterprise environment

In RStudio View(iris) is very slow - it locks up RStudio for ~5-10s or more. I have no idea why this difference exists.

I ran the following to find out my HOME directory:

$ echo $HOME

This returns /h/ - my Home drive on the network

library(ggplot2)
library(viridis)
#> Loading required package: viridisLite

my_data <- data.frame(val = rnorm(15), 
                      cat = rep(letters[1:5], 3), 
                      x = 1:15)

my_viridis_scale &lt;- scale_color_viridis(discrete = TRUE,

	# install gdal, python, postgresql/postgis on Ubuntu 16.04

	# install dependencies
	sudo apt install unzip
	sudo apt-get update
	sudo apt-get install python-pip
	sudo add-apt-repository ppa:ubuntugis/ppa
	sudo apt-get update
	sudo apt-get install gdal-bin libgdal-dev
	pip install --upgrade pip

	function git() {

	for i do
	lastArgument=$i # last argument can be the directory or the repository url
	done

	command git $@

	if [[ $? -eq 0 ]] # only show prompt if git command was successful
	then

	#!/bin/bash

	# bash prompt which asks for email address
	# to configure for current git repository

	# set your available emails
	MAILS=([email protected] [email protected] [email protected])

	# prompt for email
	echo

	library(leaflet)
	leaflet() %>% addTiles() %>%
	setView(-127, 52, 6) %>%
	addWMSTiles("https://openmaps.gov.bc.ca/geo/pub/WHSE_FOREST_VEGETATION.BEC_BIOGEOCLIMATIC_ZONE_2M_SPG/ows",
	layers = "pub:WHSE_FOREST_VEGETATION.BEC_BIOGEOCLIMATIC_ZONE_2M_SPG",
	options = WMSTileOptions(
	format = "image/png",
	transparent=TRUE,
	styles = "BEC_Cartographic_Zones_2M_Colour_Themed"))