Initial Setup for your RStudio

Pre-Requirements

The next steps will require you to have docker.

what is docker?

For details on how to install and setup docker check out this page: https://docs.docker.com/

For Windows and Mac check out: https://www.docker.com/products/docker-toolbox

Running your RStudio

Let’s create a RStudio using Docker:

docker run -d -p 8790:8787 --name r_workbench it4poster/geofracker

##Open your browser at your docker host IP at port 8790
# Ususally for mac or windows: http://192.168.99.100:8790
# if you are using docker machine
# For linux user, usually: http://<your ip>:8790
# or: http://127.0.0.1:8790

At you your browser you will see a login page, for login use: User: rstudio Password: rstudio

Now execute the following to install some of the libs we will be using on our samples trough the blog:

#!/usr/bin/env Rscript
install.packages("rgeos")
install.packages("rgdal")
# raster install not working
install.packages('raster',  repos='http://cran.us.r-project.org')
install.packages('ncdf4')
install.packages("xlsx")
install.packages("ggmap")
library(raster)
library(rgdal)

# installing dowload helper
## 1. install
install.packages("devtools")
library(devtools)
devtools::install_github("i40poster/geoSampaRHelper")

# using dowload helper
## 2 .Sample of use:
library(helper4geosampa)

# To conver GeoJSON
install.packages("geojsonio")
library("geojsonio")


# helper function to convert maps at the south hemisphere:
utm2decimalSouth <- function(data,zone,datum){
    #coordinates(newData) <- c("easting","northing")
    crs <- paste0("+proj=utm+zone=",zone,"+datum=",datum)
    data@proj4string@projargs <- paste0("+proj=utm"," +south  +zone=",zone," +datum=",datum)
    spTransform(data, CRS("+proj=longlat"))}

Don’t worry rgdal has some OS dependencies, but your linux docker image has already it installeed for you.

For testing it just check out some of our posts in the blog.

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