In 2 weeks, on Wednesday September 22, I'll be hosting a webinar in conjunction with Andrew Lampitt at Jaspersoft. This new webinar is all about how to Deploy R: in other words, how to use the new server-based capabilities of Revolution R Enterprise 4 for Linux to embed the results of R scripts into applications and web pages. One...
1737 search results for "GIS"
Clipping a Surface By a Polygon
Background: A common function in standard GIS software enables users to create a raster surface and extract values or clip it based on a set of polygons. This may be used in cases where you want analysis to be constrained to within a town’s boundaries or a coastline. This tutorial will outline how to create
Mapping Temperature Anomalies with R
In this post I show how to map NASA GISS’s 2×2 degree temperature anomaly data using R mapping tools. Rather than rely on a single value to reflect monthly global temperature anomaly, this map shows the anomalies in each of … Conti...
Third, and Hopefully Final, Post on Correlated Random Normal Generation (Cholesky Edition)
When I did a brief post three days ago I had no plans on writing two more posts on correlated random number generation. But I’ve gotten a couple of emails, a few comments, and some Twitter feedback. In response to my first post, Gappy, calls me out and says, “the way mensches do multivariate (log)normal
Stochastic approximation in Bristol
This is very short notice, but for those in the vicinity and not at the RSS conference, there is a highly interesting workshop taking place in Bristol in ten days (I would certainly have gone, had I not been at the same time in Banff!): We would like to invite you to contribute to our 
Birds of a feather shop together
PREDICTING CONSUMER BEHAVIOR FROM SOCIAL NETWORKS This week, Decision Science News is doing a special cross-posting with Messy Matters. The post below is by Sharad Goel and describes work that he and your Decision Science News editor Dan Goldstein are jointly undertaking at Yahoo! Do you know what the #$*! your social media strategy is?
RClimate Tools for Do It Yourself Climate Trend Analysis
In this post I introduce my RClimate functions which allow R users to easily download and plot monthly temperature anomaly data for the 5 major global temperature anomaly data series: GISS, HAD, NOAA, RSS, UAH. Consolidated LOTA Data File In … Co...
Even Simpler Multivariate Correlated Simulations
So after yesterday’s post on Simple Simulation using Copulas I got a very nice email that basically begged the question, “Dude, why are you making this so hard?” The author pointed out that if what I really want is a Gaussian correlation structure for Gaussian distributions then I could simply use the mvrnorm() function from
Stochastic Simulation With Copulas in R
A friend of mine gave me a call last week and was wondering if I had a little R code that could illustrate how to do a Cholesky decomposition. He ultimately wanted to build a Monte Carlo model with correlated variables. I pointed him to a number of packages that do Cholesky decomp but then
Oh (de)bugger!
By number of questions asked, R passed MATLAB for the first time on Stack Overflow today. Thus it seems an appropriate time to write my first R-based post. This post concerns what to do when your R-code goes pear shaped. Back in June there were a couple of very good videos on R debugging that 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
