4098 search results for "gis"

#6: Easiest package registration

April 30, 2017
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Welcome to the sixth post in the really random R riffs series, or R4 for short. Posts #1 and #2 discussed how to get the now de rigeur package registration information computed. In essence, we pointed to something which R 3.4.0 would have, and provided tricks for accessing it while R 3.3.3 was still R-released. But now...

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Using R as a GIS

April 22, 2017
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Using R as a GIS

In real estate, spatial data is the name of the game. Countless other domains utilize the power of this data, which is becoming more prevalent by the day. In this post I will go over a few simple, but powerful tools to get you started using using geographic information in R. GISTools provides an easy-to-use

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Logistic regressions (in R)

April 21, 2017
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Logistic regressions are a great tool for predicting outcomes that are categorical. They use a transformation function based on probability to perform a linear regression. This makes them easy to interpret and implement in other systems. Logistic regressions can be The post Logistic regressions (in R) appeared first on Locke Data. Locke Data are a data...

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Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (2): Recommendation as discrete choice

April 14, 2017
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Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (2): Recommendation as discrete choice

In this continuation of “Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering” I will describe the application of the {ordinal} clm() function to test a new, hybrid content-based, collaborative filtering approach to recommender engines by fitting a class of ordinal logistic (aka ordered logit) models to ratings data from...

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Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

April 14, 2017
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Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

I will use {ordinal} clm() (and other cool R packages such as {text2vec} as well) here to develop a hybrid content-based, collaborative filtering, and (obivously) model-based approach to solve the recommendation problem on the MovieLens 100K dataset in R. All R code used in this project can be obtained from the respective GitHub...

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April R Course Finder update: Logistics Regression, New platforms and Complete Machine Learning

April 9, 2017
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April R Course Finder update: Logistics Regression, New platforms and Complete Machine Learning

Last year we launched R Course Finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their valuable time and Related exercise sets:

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R with GRASS GIS – easiest Munros

April 4, 2017
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R with GRASS GIS – easiest Munros

I’ve been having a more sustained play with R and GRASS together. I’ve previously used them, in tandem, for processing satellite images, but haven’t been much further. In this post I’ll look at… Continue reading →

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#2: Even Easier Package Registration

March 30, 2017
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Welcome to the second post in rambling random R recommendation series, or R4 for short. Two days ago I posted the initial (actual) post. It provided context for why we need package registration entries (tl;dr: because R CMD check now tests for it, and because it The Right Thing to do, see documentation in the posts). I...

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#1: Easy Package Registration

March 29, 2017
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Welcome to the first actual post in the R4 series, following the short announcement earlier this week. Context Last month, Brian Ripley announced on r-devel that registration of routines would now be tested for by R CMD check in r-devel (which by next month will become R 3.4.0). A NOTE will be issued now, this will presumably...

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R, GIS, and fuzzyjoin to reconstruct demographic data for NUTS regions of Denmark

March 15, 2017
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R, GIS, and fuzzyjoin to reconstruct demographic data for NUTS regions of Denmark

NUTS

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