1223 search results for "maps"

Creating inset maps using spatial objects

July 5, 2016
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Creating inset maps using spatial objects

This post explains how to create an inset map with spatial objects using the sp- and raster-package.

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New Facebook Group: “R, Maps and Open Data”

June 21, 2016
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New Facebook Group: “R, Maps and Open Data”

Today I am happy to announce a new Facebook group: R, Maps and Open Data. If you like this blog, then you should join this group! It’s free to join. This is my first time creating a Facebook group, and I am viewing it as both an experiment and an outgrowth of this blog. Here The post

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Interactive maps and charts in R

June 10, 2016
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Interactive maps and charts in R

Randy George, an expert in web map applications, has been fascinated with computer graphics (especially maps) since the early '80s. For much of that time, he says, the technology for mapping has been pretty static: The main stay of web mapping applications for the last couple of decades has been three tier: Model – SQL, View – web UI,...

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heatmaply: interactive heat maps (with R)

May 31, 2016
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I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package. tl;dr By running the following 3 lines of code: install.packages("heatmaply") library(heatmaply) heatmaply(mtcars, k_col = 2, k_row = 3) %>% layout(margin = list(l = 130, b = 40)) You will get this output in your browser … Continue reading...

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heatmaply: interactive heat maps (with R)

May 31, 2016
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heatmaply: interactive heat maps (with R)

I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package. tl;dr By running the following 3 lines of code: install.packages("heatmaply") library(heatmaply) heatmaply(mtcars, k_col = 2, k_row = 3) %>% layout(margin = list(l = 130, b = 40)) You will get this output in your browser … Continue...

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Interactive Heat Maps for R

May 23, 2016
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2016-05-23 09_06_56-Clipboard

In every statistical analysis, the first thing one should do is try and visualise the data before any modeling. In microarray studies, a common visualisation is a heatmap of gene expression data. In this post I simulate some gene expression data and visualise it using the heatmaply package in R by Tal Galili. This package

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Battle Maps Using R and Leaflet

May 6, 2016
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Battle Maps Using R and Leaflet

“Here are those damned black hat fellows again.”Attributed to men of the 26th North Carolina, Pettigrew's Brigade at the Battle of Gettysburg in describing the "Iron Brigade".A while back I created a post about plotting Russian airstrikes in Syria using the ggmap package. Of note was the commentary and method of taking that data...

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Stacking the deck against treemaps

March 18, 2016
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Stacking the deck against treemaps

So, I (unapologetically) did this to @Highcharts last week: @hrbrmstr Your loss of words inspired this post!! https://t.co/3KO0BP0k0u @hadleywickham @ma_salmon @tdmv @bearloga @rushworth_a @awhstin— Highcharts (@Highcharts) March 18, 2016 They did an awesome makeover (it’s interactive if you follow the link): And, I’m not kidding, it’s actually a really good treemap. Not too many hierarchies

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Computerworld’s 10-step tutorial for creating interactive election maps with R

March 7, 2016
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Computerworld’s 10-step tutorial for creating interactive election maps with R

With the US election season in full swing, you can hardly browse a newspaper website without seeing some kind of map showing election or polling results, like this one from the New York Times. With election data (usually) accessible online, and a wealth of mapping tools available in the R language, you can fairly easily make similar maps yourself...

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R-based data maps in PowerBI

February 29, 2016
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R-based data maps in PowerBI

One of benefit of integrating R with PowerBI is access to rich array of data visulizations not present in the standard PowerBI loadout. R is practically unlimited in the types of graphics it can create (although the amount of programming required can vary from a few lines using an existing R package, to large custom functions for truly bespoke...

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