3791 search results for "gis"

Poverty and Crime in Mexico – Interactive Map

March 6, 2014
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Poverty and Crime in Mexico – Interactive Map

How safe is Mexico? That is a frequent question people ask me. There is even  website about it  (see this blog post). So I’ve decided it was time to go one step further and make an interactive map (click here for full screen) of poverty and crime in Mexico. The objective was to see which municipalities have The post

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R-users.com: invite fellow R-users to Jobs, conferences, and R-projects

March 6, 2014
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R-users.com: invite fellow R-users to Jobs, conferences, and R-projects

Dear R users, I am happy to officially announce a new website called R-users.com. The idea of the site is that community members will invite other R users to join them in their R projects, conferences, and work places. This site is a “job board” for R users, hosting various “call to action” to R-users,

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Near-zero variance predictors. Should we remove them?

March 6, 2014
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Near-zero variance predictors. Should we remove them?

Datasets come sometimes with predictors that take an unique value across samples. Such uninformative predictor is more common than you might think. This kind of predictor is not only non-informative, it can break some models you may want to fit to your data (see example below). Even more common is the presence of predictors that

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Assign n Email Addresses to x Cells, Intrinsically

March 5, 2014
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Assign n Email Addresses to x Cells, Intrinsically Assign n Email Addresses to x Cells, IntrinsicallySample Use Case:Marketing requests that an email address list be divided randomly into a given number of cells so that each cell would receive a different version of...

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Advances in scalable Bayesian computation [day #2]

March 5, 2014
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Advances in scalable Bayesian computation [day #2]

And here is the second day of our workshop Advances in Scalable Bayesian Computation gone! This time, it sounded like the “main” theme was about brains… In fact, Simon Barthelmé‘s research originated from neurosciences, while Dawn Woodard dissected a brain (via MRI) during her talk! (Note that the BIRS website currently posts Simon’s video as

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Using APIs in Python: a quick example

March 4, 2014
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Using APIs in Python: a quick example

Python has an extremely intuitive and straightforward way of dealing with APIs, and makes it simple for people like you or me to access and retrieve information from databases. Before I quickly describe how to use APIs in Python, maybe we should begin with: What is an API? API (Application Programming Interface): An API is a software intermediary

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Call for Presentations – EARL Conference, London

March 3, 2014
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The EARL (Effective Applications of the R Language) Conference takes place in London on the 16th and 17th September 2014. It will provide an opportunity for those using and developing the open source statistical programming language R to share and discuss their innovative practices of the R Language. The Conference will create opportunities for: • The post

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Seventh Torino R net meeting, free spatial data analysis workshop and R introductory course

March 3, 2014
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Seventh Torino R net meeting, free spatial data analysis workshop and R introductory course

Seventh Torino R net meeting on 27 Mar 2014, exceptionally hosted at Polo Universitario di Asti, will have three presentations: Processing and analysis methods for DNA methylation array data, Giovanni Fiorito, Complex Systems for Life Sciences, University of Turin; Temporal Dominance of Sensations (TDS) … Continue reading →

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Computing R square for Generalized Linear Mixed Models in R

March 2, 2014
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Computing R square for Generalized Linear Mixed Models in R

R square is a widely used measure of model fitness, in General Linear Models (GLM) it can be interpreted as the percent of variance in the response variable explained by the model. This measure is unitless which makes it useful to compare model between studies in meta-analysis analysis. Generalized Linear Mixed models (GLMM) are extending

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Predicting movie ratings with IMDb data and R

March 2, 2014
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Predicting movie ratings with IMDb data and R

It’s Oscars season again so why not explore how predictable (my) movie tastes are. This has literally been a million dollar problem and obviously I am not gonna solve it here, but it’s fun and slightly educational to do some number … Continue reading →

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