3899 search results for "GIS"

R, GeoJSON and GitHub

September 20, 2013
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R, GeoJSON and GitHub

GeoJSON is an open computer file format for encoding collections of simple geographical features along with their non-spatial attributes using …Continuar leyendo »

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Webcast on Writing Great R Code

September 19, 2013
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Webcast on Writing Great R Code

While I’m promoting things, you might also want to know that I’m doing a webcast on how to write great R code next Wednesday. It’s at 6pm British Summer Time or 10am Pacific Daylight Time. the big problem with being a data scientist is that you have to be a statistician and a programmer, which

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“Statistical Models with R” Course – Milano, October 24-25, 2013

September 19, 2013
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MilanoR, in collaboration with Quantide, organizes "Statistical Models with R" Course October 24-25, 2013 Course description This two-day course shows a wide variety of statistical models with R ranging from Linear Models (LM) to Generalized Linear Models (GLM) modelling, in … Continue reading →

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Clustering Search Keywords Using K-Means Clustering

September 17, 2013
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Clustering Search Keywords Using K-Means Clustering

One of the key tenets to doing impactful digital analysis is understanding what your visitors are trying to accomplish. One of the easiest methods to do this is by analyzing the words your visitors use to arrive on site (search keywords) and what words they are using while on the site (on-site search). Although Google has Clustering Search Keywords...

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A nifty area plot (or a bootleg of a ggplot geom)

September 17, 2013
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A nifty area plot (or a bootleg of a ggplot geom)

The ideas for most of my blogs usually come from half-baked attempts to create some neat or useful feature that hasn’t been implemented in R. These ideas might come from some analysis I’ve used in my own research or from some other creation meant to save time. More often than not, my blogs are motivated

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Revolution Newsletter: September 2013

September 17, 2013
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The most recent edition of the Revolution Newsletter is now available. In case you missed it, the news section is below, and you can read the full September edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Rrrr, Mateys! September 19th is International Talk Like...

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Using planel.groups in lattice

September 17, 2013
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Using planel.groups in lattice

Last Tuesday I attended the LondonR user group meeting, where Rich and Andy from Mango argued about the better package for multivariate graphics with R: lattice vs. ggplot2. As part of their talk they had a little competition in visualising London Unde...

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Putting the R in Cloudera and Hortonworks Hadoop

September 16, 2013
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Datanami interviews Revolution Analytics' Bill Jacobs about the upcoming Revolution R Enterprise 7, which will be available later this year. A key feature of this release is that that the big-data predictive analytics R functions in the ScaleR package will run on data situated in a Hadoop cluster, and use the parallel computational power of the Hadoop nodes for...

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Batch Downloading Zipped Shapefiles with R

September 16, 2013
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Here's a function I use to download multiple zipped shapefiles from url and load them to the workspace:URLs "http://gis.tirol.gv.at/ogd/umwelt/wasser/wis_tseepeicher_pl.zip")url_shp_to_spdf require(rgdal) wd td setwd(td) temp download.file(URL, temp) unzip(temp) shp lyr y names(y)...

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Network visualization – part 3: Hive plots

September 15, 2013
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Network visualization – part 3: Hive plots

In the third part of “how to quickly visualize networks directly from R” series, I’ll write about the hive plots and “HiveR” package. The concept of hive plots is fundamentally different from the Cytoscape and Gephi plots. Cytoscape and Gephi … Continue reading →

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