Learning R for GIS Professionals
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swirl: Learn R, in R.

swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!
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Tufte in R

The idea behind Tufte in R is to use R - the most powerful open-source statistical programming language - to replicate excellent visualisation practices developed by Edward Tufte. It’s not a novel approach - there are plenty of excellent R functions and related packages wrote by people who have much more expertise in programming than myself. I simply collect those resources in one place in an accessible and replicable format, adding a few bits of my own coding discoveries.
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CRAN now has 10,000 R packages. Here's how to find the ones you need.

CRAN now has 10,000 R packages. Here's how to find the ones you need. | Learning R for GIS Professionals | Scoop.it
CRAN, the global repository of open-source packages that extend the capabiltiies of R, reached a milestone today. There are now more than 10,000 R packages available for download*. (Incidentally, that count doesn't even include all the R packages out there. There are also another 1294 packages for genomic analysis in the BioConductor repository, hundreds of R packages published only on GitHub, commercial R packages from vendors such as Microsoft and Oracle, and an unknowable number of private, unpublished packages.) Why so many packages? R has a very active developer community, who contribute new packages to CRAN on a dail
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Data Science Courses: R & Python Analysis Tutorials | DataCamp

DataCamp offers a variety of online courses & video tutorials to help you learn data science at your own pace. See why over 300,000 people use DataCamp
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Some DataCamp courses about R. Nice learning format.
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Earthquakes: Magnitude / Depth Chart | Exegetic Analytics

I am working on a project related to secondary effects of earthquakes. To guide me in the analysis I need a chart showing the location, magnitude and depth of recent earthquakes. There are a host of such charts available already, but since I had the required data on hand, it seemed like a good idea …
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This is a nice introduction to how you can use R to scrape live data from the Internet. So much to do, so little time!
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spatial-analyst.net

spatial-analyst.net | Learning R for GIS Professionals | Scoop.it

spatial-analyst.net is a non-commercial website intended for users interested in advanced use of geocomputational tools. The topics discussed generally belong to spatio-temporal data analysis sciences, digital cartography, geomorphometry, geostatistics, geovisualization, GPS tracking and navigation, raster-based GIS modelling and similar.

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Downloading and Visualizing Seismic Events from USGS in R

Downloading and Visualizing Seismic Events from USGS in R | Learning R for GIS Professionals | Scoop.it
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awesome-R

A curated list of awesome R frameworks, packages and software.

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R is overwhelming to us mere GIS mortals. This list will help cut through the endless opportunities. HOWEVER, I do note that there are no spatial items here. But there's plenty you might use.

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Mapping Flows in R ... with data.table and lattice

Mapping Flows in R ... with data.table and lattice | Learning R for GIS Professionals | Scoop.it
Some days ago James Cheshire published the post Mapping Flows in R. I have implemented an alternative (faster) version using data.table to read and join the datasets (and lattice to display the res...
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RPubs - Making maps in R

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R comes with a basic plot command, which can also be used for simple map viewing. In this workshop we will will look into two different options to map spatial data in R. sp comes with a more refined plot command spplot, which takes Spatial*~ objects. Secondly, there is ggplot, a more general purpose plotting library, but very powerful and one can make great maps. An additional package ggmap builds on ggplot and allows to draw in tiled basemaps from different services.

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Interactive documents: An incredibly easy way to use Shiny

Interactive documents: An incredibly easy way to use Shiny | Learning R for GIS Professionals | Scoop.it
R Markdown's new interactive documents provide a quick, light-weight way to use Shiny. An interactive document embeds Shiny elements in an R Markdown report. The report becomes "live", a choose you...
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Leaflet: Interactive web maps with R

Leaflet: Interactive web maps with R | Learning R for GIS Professionals | Scoop.it

We are excited to announce that a new package leaflet has been released on CRAN. The R package leaflet is an interface to the JavaScript library Leaflet to create interactive web maps.

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Getting Data From An Online Source

This post is about fetching data from a URL. This is only for data that is in tabular form already. This is not for web scraping (i.e. extracting a table of data from a Wikipedia page.) There are entire packages devoted to that. This is for the simplest of all cases where there is a .csv file or a .txt file (or similar) at a URL and you want to read it into R directly from that URL without the intermediate step of saving it somewhere on your computer.
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Analyzing Public Health Data in R - AriLamstein.com

Analyzing Public Health Data in R - AriLamstein.com | Learning R for GIS Professionals | Scoop.it
Today’s post is by Thomas Yokota, an epidemiologist in Hawaii. I’ve been corresponding with Thomas via email and telephone for a while. I asked Thoma
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Data Science Wars: R versus Python

Data Science Wars: R versus Python | Learning R for GIS Professionals | Scoop.it
Nice infographics by DataCamp. Click here to view the original and commented version. DSC ResourcesCareer: Training | Books | Cheat Sheet | Apprenticeship | Ce…
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Great infographic comparing R and Python. You probably need to know both...
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ggplot2 Choropleth of Supreme Court Decisions: A Tutorial

I don't do much GIS but I like to. It's rather enjoyable and involves a tremendous skill set. Often you will find your self grabbing data sets from some site, scraping, data cleaning and reshaping, and graphing. On the ride home from work yesterday I heard an NPR talk about the Supreme Court decisions being…
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Here's a nice tutorial for making maps. The maps themselves are horrible (terrible projection) but you'll get the point.
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tmap in a nutshell

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"With the tmap package, thematic maps can be generated with great flexibility. The syntax for creating plots is similar to that of ggplot2. Also, the standard work flow that is needed to create a thematic map is embedded in tmap; convenient functions for reading and writing ESRI shape files, setting the proper projection, and appending data are contained in the tmap package."

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Plot maps like a boss

Plot maps like a boss | Learning R for GIS Professionals | Scoop.it
A new package OpenStreetMap has been released to CRAN this week which is designed to allow you to easily add satellite imagery, or open street maps to your plots. Raster maps are a great way to add context to your spatial data with a minimum outlay of effort. The syntax in OpenStreetMap is fairly simple, just give [...]
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Doing quantitative archaeology with open source software

Doing quantitative archaeology with open source software | Learning R for GIS Professionals | Scoop.it
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A great explanation why R is the language of choice non-programmers.

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New packages for reading data into R — fast

The readr package provides functions for reading text data into R, and the readxl package provides functions for reading Excel spreadsheet data into R. Both are much faster than the functions you're probably using now.

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Learn to crunch big data with R - InfoWorld

Learn to crunch big data with R - InfoWorld | Learning R for GIS Professionals | Scoop.it
Get started using the open source R programming language to do statistical computing and graphics on large data sets
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Can Microsoft make R easy? - InfoWorld

Can Microsoft make R easy? - InfoWorld | Learning R for GIS Professionals | Scoop.it
Microsoft and R are poised to enter a mutually beneficial relationship: Microsoft needs R's data science chops, while R needs Microsoft’s ease of use
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