3580 search results for "GIS"

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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My first R Shiny Web Application using breast cancer data

September 14, 2013
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I love the idea of making non-R users playing with my datasets. Thanks to R Shiny package this is is now possible and I am going to post here my code for a simple web application.But first a few lines about Shiny package and my dataset. Okay…if you are in a hurry and want to go straight to check...

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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #6)

September 13, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #6)

A reposted item of news about MCMSki IV: as posted by Brad Carlin this afternoon to the Biometrics Section and Bayesian Statistical Science Section of the ASA, The fifth joint international meeting of the IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), nicknamed “MCMSki IV”, will be held in Chamonix Mont-Blanc,

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Alpha Testing RevoScaleR running in Hadoop

September 13, 2013
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by Joseph Rickert At Revolution Analytics our mission is to establish R as the driver for Enterprise level computational frameworks. In part, this means that a data scientist ought to be able to develop an R based application in one context, e.g. her local PC, and then get it moving by changing horses on the fly (so to speak)...

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Who uses E-Bikes in Toronto? Fun with Recursive Partitioning Trees and Toronto Open Data

September 12, 2013
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Who uses E-Bikes in Toronto?  Fun with Recursive Partitioning Trees and Toronto Open Data

I found a fun survey released to the Toronto Open Data website that investigates the travel/commuting behaviour of Torontonians, but with a special focus on E-bikes.  When I opened up the file, I found various demographic information, in addition to a … Continue reading →

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Direction of Change Forecasting using a Dynamic Binary Model

September 12, 2013
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Direction of Change Forecasting using a Dynamic Binary Model

While it is generally accepted that the returns of financial assets are almost impossible to forecast with any degree of accuracy which would provide meaningful profit1 , there is evidence that the sign of the returns is much more forecastable. Theoretically, Christoffersen and Diebold (2006) have shown how the forecastability of the sign is related

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