3901 search results for "Gis"

Percolation Threshold: Including Next-Nearest Neighbours

November 1, 2013
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Percolation Threshold: Including Next-Nearest Neighbours

In my previous post about estimating the Percolation Threshold on a square lattice, I only considered flow from a given cell to its four nearest neighbours. It is a relatively simple matter to extend the recursive flow algorithm to include other configurations as well. Malarz and Galam (2005) considered the problem of percolation on a

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Simulation of an Oxford (Undergrad) Interview Question

October 31, 2013
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Simulation of an Oxford (Undergrad) Interview Question

A friend of mine, who's an economics teacher in London, is responsible for preparing some of his students for interviews at Oxford and Cambridge. He told me that, at these schools, students have to go through a nerve-wracking...

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Finding R in a Hadoop World

October 31, 2013
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Finding R in a Hadoop World

by Joseph Rickert The following is a brief report of all things R encountered in my not quite random, but nevertheless far from determined, walk through the O'Reilly Strata / Hadoop World Conference held this week in NYC. To start off, I had the pleasure of doing a 9:00 AM Monday morning joint tutorial with Antonio Piccolboni, the principal...

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Percolation Threshold on a Square Lattice

October 29, 2013
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Percolation Threshold on a Square Lattice

Manfred Schroeder touches on the topic of percolation a number of times in his encyclopaedic book on fractals (Schroeder, M. (1991). Fractals, Chaos, Power Laws: Minutes from an Infinite Paradise. W H Freeman & Company.). Percolation has numerous practical applications, the most interesting of which (from my perspective) is the flow of hot water through

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Scaling up text processing and Shutting up R: Topic modelling and MALLET

October 29, 2013
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Scaling up text processing and Shutting up R: Topic modelling and MALLET

In this post I show how a combination of MALLET, Python, and data.table means we can analyse quite Big data in R, even though R itself buckles when confronted by textual data.  Topic modelling is great fun. Using topic modelling I have been able to separate articles about the 'Kremlin' as a) a building, b) an international actor c) the...

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Forecasting the number of visitors on your website using R. Part II

October 29, 2013
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Forecasting the number of visitors on your website using R. Part II

This blog is the second post of a series of three blogs. Previous Blog Implementing the time-series exponential smoothing in R: I have used the HoltWinters (also a function in the forecasting package of R ) model to implement the exponential smoothing on the visitors data. This model will take care of the Seasonality, Trend,

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Introducing Revolution R Enterprise 7

October 28, 2013
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We're very excited to formally announce that Revolution R Enterprise 7 is here! This release includes the latest release of Open Source R (R 3.0.2). It brings R and the massively-parallel R functions from Revolution Analytics to Cloudera and Hortonworks in-Hadoop, and in-database on Teradata. It also brings a new drag-and-drop user interface via integration with Alteryx, and a...

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One step ahead in Bioinformatics using Package Repositories

October 28, 2013
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One step ahead in Bioinformatics using Package Repositories

About a year ago I published a post about in-house tools in research and how using this type of software may end up undermining the quality of a manuscript and the reproducibility of its results.  While I can certainly relate to someone reluctant to release nasty code (i.e. not commented, not well-tested, not documented), I still think we...

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ipython notebook for R: Quickstart for Ubuntu

October 27, 2013
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If you’re like me, you love ipython notebook but often write R.  RStudio’s integrated RMarkdown is nice, but for some contexts like quick demos or basic training, a browser-based interface is unbeatable.  What if we could get the best of… Read more ›

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Alternative to Grouped Bar Charts in R

October 27, 2013
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Alternative to Grouped Bar Charts in R

The #spiffy @dseverski gave me this posit the other day: Hey, @hrbrmstr, doughnut chart aside, how would you approach the first graph at http://t.co/zjHoHRVOeo? Bump chart? Trend line? Leave as is?— David F. Severski (@dseverski) October 25, 2013 and, I...

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