1210 search results for "Maps"

Sustainability of water use in agriculture

March 9, 2014
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Sustainability of water use in agriculture

AQUASTAT, developed and maintained by the Food and Agriculture Organization of the UN, is the global database that gives quantitative information on water resources and withdrawal of water for different uses. Agricultural water withdrawal is defined as follows: Annual quantity of self-supplied water withdrawn for irrigation, livestock and aquaculture purposes. It includes water from primary

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RUG-Philippines Meetup: Markov Switching Models in R

March 7, 2014
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To the R users based in the Philippines, there will be upcoming meetup, here are the details:topics: Markov Switching Models in R           by Ohly Santos           How to use the op...

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Reading OECD.Stat into R

March 1, 2014
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Reading OECD.Stat into R

OECD.Stat is a commonly used statistics portal in the research world but there are no easy ways (that I know of) to query it straight from R. There are two main benefits of querying OECD.Stat straight from R: 1. Create reproducible analysis (something that is easily lost if you have to download excel files) 2.

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Next Kölner R User Meeting: 26 February 2014

February 25, 2014
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Next Kölner R User Meeting: 26 February 2014

The next Cologne R user group meeting is scheduled for tomorrow, 26 February 2014. We are delighted to welcome: Diego de Castillo: R and databases Kim Kuen Tang: Hands on using R and kdb+ together Frank Celler: ArangoDB (Lightning Talk) Further details and the agenda are available on our KölnRUG Meetup site. Please sign up if you would like to come...

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A survival guide to Data Science with R, from Graham Williams

February 21, 2014
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Graham Williams is the Lead Data Scientist at the Australian Taxation Office, and the creator of Rattle, an open-source GUI for data mining with R. (Check out some recent reviews/demos of Rattle on this blog here and here.) Dr Williams continues his many contributions to the R community with One Page R, a "Survival Guide to Data Science with...

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Forecasting within limits

February 21, 2014
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Forecasting within limits

It is common to want forecasts to be positive, or to require them to be within some specified range . Both of these situations are relatively easy to handle using transformations. Positive forecasts To impose a positivity constraint, simply work on the log scale. With the forecast package in R, this can be handled by specifying the Box-Cox parameter...

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Voting Twice in France

February 19, 2014
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Voting Twice in France

On the Monkey Cage blog, Baptiste Coulmont (a.k.a. @coulmont) recently uploaded a post entitled “You can vote twice ! The many political appeals of proxy votes in France“, coauthored with Joël Gombin (a.k.a. @joelgombin), and myself. The study was initially written in French as mentioned in a previous post. Baptiste posted additional information on his blog (http://coulmont.com/blog/…) and I also wanted to post some lines of code,...

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AntWeb – programmatic interface to ant biodiversity data

February 18, 2014
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AntWeb – programmatic interface to ant biodiversity data

Data on more than 10,000 species of ants recorded worldwide are available through from California Academy of Sciences' AntWeb, a repository that boasts a wealth of natural history data, digital images, and specimen records on ant species from a large community of museum curators. Digging through some of the earliest announcements of AntWeb, I came across...

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Changed and new things in the new version of rgbif, v0.5

February 17, 2014
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rgbif is an R package to search and retrieve data from the Global Biodiverity Information Facilty (GBIF). rgbif wraps R code around the to allow you to talk to GBIF from R. We just pushed a new verion of rgbif to cran - v0.5.0. Source and binary files are now available on CRAN. There are...

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“Digit Recognizer” Challenge on Kaggle using SVM Classification

February 14, 2014
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“Digit Recognizer” Challenge on Kaggle using SVM Classification

This article is about the “Digit Recognizer” challenge on Kaggle. You are provided with two data sets. One for training: consisting of 42’000 labeled pixel vectors and one for the final benchmark: consisting of 28’000 vectors while labels are not … Continue reading → The post “Digit Recognizer” Challenge on Kaggle using SVM Classification appeared first on...

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