3013 search results for "gis"

R vs QGIS for sustainable transport planning

April 19, 2015
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R vs QGIS for sustainable transport planning

The 23rd iteration of the GIS Research UK conference (#GISRUK) conference was the largest ever. 250 researchers, industry representatives and academics attended from the vibrant geospatial research communities in the UK, Europe and beyond. GISRUK has become a centrepoint for discussion of new methods, software and applications in the field. I was on the organising committee, reviewed some excellent papers for the event (a full list...

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Registration Open for R/Finance 2015!

March 31, 2015
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You can find registration information and agenda details (as they become available) on the conference website.  Or you can go directly to the registration page.  Note that there's an early-bird registration deadl...

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R / Finance 2015 Open for Registration

March 31, 2015
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The annoucement below just went to the R-SIG-Finance list. More information is as usual at the R / Finance page. Registration for R/Finance 2015 is now open! The conference will take place on May 29 and 30, at UIC in Chicago. Building on the success of the previous conferences in 2009-2014, we expect more than 250 attendees from around...

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Supervised Classification, beyond the logistic

March 5, 2015
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Supervised Classification, beyond the logistic

In our data-science class, after discussing limitations of the logistic regression, e.g. the fact that the decision boundary line was a straight line, we’ve mentioned possible natural extensions. Let us consider our (now) standard dataset clr1 <- c(rgb(1,0,0,1),rgb(0,0,1,1)) clr2 <- c(rgb(1,0,0,.2),rgb(0,0,1,.2)) x <- c(.4,.55,.65,.9,.1,.35,.5,.15,.2,.85) y <- c(.85,.95,.8,.87,.5,.55,.5,.2,.1,.3) z <- c(1,1,1,1,1,0,0,1,0,0) df <- data.frame(x,y,z) plot(x,y,pch=19,cex=2,col=clr1) One can consider a quadratic...

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Supervised Classification, Logistic and Multinomial

March 2, 2015
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Supervised Classification, Logistic and Multinomial

We will start, in our Data Science course,  to discuss classification techniques (in the context of supervised models). Consider the following case, with 10 points, and two classes (red and blue) > clr1 <- c(rgb(1,0,0,1),rgb(0,0,1,1)) > clr2 <- c(rgb(1,0,0,.2),rgb(0,0,1,.2)) > x <- c(.4,.55,.65,.9,.1,.35,.5,.15,.2,.85) > y <- c(.85,.95,.8,.87,.5,.55,.5,.2,.1,.3) > z <- c(1,1,1,1,1,0,0,1,0,0) > df <- data.frame(x,y,z) > plot(x,y,pch=19,cex=2,col=clr1) To get...

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More 3D Graphics (rgl) for Classification with Local Logistic Regression and Kernel Density Estimates (from The Elements of Statistical Learning)

February 7, 2015
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More 3D Graphics (rgl) for Classification with Local Logistic Regression and Kernel Density Estimates (from The Elements of Statistical Learning)

This post builds on a previous post, but can be read and understood independently. As part of my course on statistical learning, we created 3D graphics to foster a more intuitive understanding of the various methods that are used to relax the assumption of linearity (in the predictors) in regression and classification methods. The authors

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R in Insurance 2015: Registration Opened

February 3, 2015
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R in Insurance 2015: Registration Opened

The registration for the third conference on R in Insurance on Monday 29 June 2015 at the University of Amsterdam has opened. This one-day conference will focus again on applications in insurance and actuarial science that use R, the lingua franca for ...

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Some 3D Graphics (rgl) for Classification with Splines and Logistic Regression (from The Elements of Statistical Learning)

February 1, 2015
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Some 3D Graphics (rgl) for Classification with Splines and Logistic Regression (from The Elements of Statistical Learning)

This semester I'm teaching from Hastie, Tibshirani, and Friedman's book, The Elements of Statistical Learning, 2nd Edition. The authors provide a Mixture Simulation data set that has two continuous predictors and a binary outcome. This data is used to demonstrate classification procedures by plotting classification boundaries in the two predictors. For example, the figure below

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Turning R into a GIS – Mapping the weather in Germany

January 29, 2015
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Turning R into a GIS – Mapping the weather in Germany

Nothing has gotten more attention in the visualization world like the map-based insights, or in other words, just plotting on a map different KPIs to allow for a playful discovery experience. I must admit,...

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Register now for RStudio Shiny Workshops in D.C., New York, Boston, L.A., San Francisco and Seattle

January 28, 2015
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Register now for RStudio Shiny Workshops in D.C., New York, Boston, L.A., San Francisco and Seattle

Great news for Shiny and R Markdown enthusiasts! An Interactive Reporting Workshop with Shiny and R Markdown is coming to a city near you. Act fast as only 20 seats are available for each workshop. You can find out more / register by clicking on the link for your city! East Coast West Coast March

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