Learning R for GIS Professionals
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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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rOpenSci - Open Tools for Open Science

rOpenSci - Open Tools for Open Science | Learning R for GIS Professionals | Scoop.it

At rOpenSci we are creating packages that allow access to data repositories through the R statistical programming environment that is already a familiar part of the workflow of many scientists. Our tools not only facilitate drawing data into an environment where it can readily be manipulated, but also one in which those analyses and methods can be easily shared, replicated, and extended by other researchers. We develop open source R packages that provide programmatic access to a variety of scientific data, full-text of journal articles, and repositories that provide real-time metrics of scholarly impact. 

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How The Rise Of The "R" Computer Language Is Bringing Open Source To Science

How The Rise Of The "R" Computer Language Is Bringing Open Source To Science | Learning R for GIS Professionals | Scoop.it
R is crossing over from just calculating statistics to scientific experimentation--and it's bringing hacker culture with it.
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Publishing an R package in the Journal of Statistical Software

Publishing an R package in the Journal of Statistical Software | Learning R for GIS Professionals | Scoop.it

I’ve been an editor of JSS for the last few years, and as a result I tend to get email from people asking me about publishing papers describing R packages in JSS. So for all those wondering, here are some general comments.

Karen Kemp's insight:

Here's some great advice if you want to get an article about R published. Also interesting that they use CRAN one quality assessment check.

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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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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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Using GitHub with R and RStudio

A few of you out there may still be skeptical about the benefits of using GitHub. Or you may find it confusing and not worth the bother. You may be thinking to yourself (well, at least, I was guilty of this) that all of your code is backed up on Dropbox, Google Drive, and three external hardrives – so what could possibly go wrong? The short answer is: lots! The longer answer is that there really are some tremendous advantages associated with using Git and GitHub that may not be immediately apparent.

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R for cats · and cat lovers

R for cats · and cat lovers | Learning R for GIS Professionals | Scoop.it

This is an introduction to R. I promise this will be fun. Since you have never used a programming language before, or any for that matter, you won't be tainted by real programming languages like Python or Java. This is good - we can teach you the R way of doing things. Since you're a cat, not having opposable thumbs may be a bit of an issue, but surely you're clever enough to find a way around that. [One] thing you'll want to do as a cat using R is assign things to a name so that you can use it later. This is as if you were a chipmunk and you buried a nut in the ground to dig up later. ...

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Being a cat lover, I couldn't resist adding this one. 

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Why are R users so damn Stingy?!

Looking at rapporter's recent blog post on "R activity Around the World", I am shocked by how few users actually monetarily support the R Foundation.  Looking at the US for instance there are only 27 donors representing a little more than 0.1% of those registered on R users groups (of which there is nearly 27,000 members) which is a small estimate of the user base which is hard to estimate. Yet we know that R users represent some of the highest earning professional skills we know that if users were not using R they would likely end up paying for proprietary software which costs thousands of dollars in order to do the same tasks.  And still the number of actual donors is abysmal.

So Why Do R Users not Contribute to the Foundation?

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I have to admit, I didn't even know there was an R Foundation to contribute to!

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