2151 search results for "MAP"

Retrieve GBIF Species Occurrence Data with Function from dismo Package

November 28, 2011
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Retrieve GBIF Species Occurrence Data with Function from dismo Package

..The dismo package is awesome: with some short lines of code you can read & map species distribution data from GBIF (the global biodiversity information facility) easily:Read more »

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Where the Worlds of Dentistry and Cartography Collide

November 28, 2011
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Where the Worlds of Dentistry and Cartography Collide

As I was getting a root canal last week, my dental X-Rays reminded me anew of an optical illusion that stumped us for a short time recently when we were developing our heatmapping engine.My X-Rays, before during and after a recent root canal.  The...

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The Global Earthquake Desktop

November 25, 2011
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The Global Earthquake Desktop

One of the first things I do over coffee each morning is scroll through the USGS earthquake RSS feeds.  In the era of free data and open source computing I asked myself, "Wouldn't it be better to visualize all of the earthquakes around the world r...

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Pseudo-Random vs. Random Numbers in R

November 25, 2011
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Pseudo-Random vs. Random Numbers in R

Earlier, I found an interesting post from Bo Allen on pseudo-random vs random numbers, where the author uses a simple bitmap (heat map) to show that the rand function in PHP has a systematic pattern and compares these to truly random numbers obtained from random.org. The post’s results suggest that pseudo-randomness in

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Pseudo-Random vs. Random Numbers in R

November 25, 2011
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Pseudo-Random vs. Random Numbers in R

Happy Thanksgiving, everyone. Earlier today, I found an interesting post from Bo Allen on pseudo-random vs random numbers, where the author uses a simple bitmap (heat map) to show that the rand function in PHP has a systematic pattern and compares these to truly random numbers obtained from random.org. The post’s results suggest that pseudo-randomness in PHP is

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Time series cross-validation 2

November 22, 2011
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Time series cross-validation 2

In my previous post, I shared a function for parallel time-series cross-validation, based on Rob Hyndman's code.  I thought I'd expand on that example a little bit, and share some additional wrapper functions I wrote to test other forecasting&nbsp...

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Do we need to deal with ‘big data’ in R?

November 22, 2011
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Do we need to deal with ‘big data’ in R?

David Smith at the Revolutions blog posted a nice presentation on “big data” (oh, how I dislike that term). It is a nice piece of work and the Revolution guys manage to process a large amount of records, starting with … Continue reading →

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Sermon Sentiment Analysis

November 22, 2011
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Sermon Sentiment Analysis

Matt Chandler vs. Mark Driscoll I came across an interesting API from Viral Heat which is capable of “Sentiment Analysis.” This analysis is designed to capture the sentiment of a statement by ranking it on a scale from -1 to 1. For instance, a chipper sentence like “The smell of roses makes me giddy!” is

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Functional and Parallel time series cross-validation

November 21, 2011
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Functional and Parallel time series cross-validation

Rob Hyndman has a great post on his blog with example on how to cross-validate a time series model.  The basic concept is simple:  You start with a minimum number of observations (k), and fit a model (e.g. an arima model) to those observation...

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htmlToText(): Extracting Text from HTML via XPath

November 18, 2011
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htmlToText(): Extracting Text from HTML via XPath

Converting HTML to plain text usually involves stripping out the HTML tags whilst preserving the most basic of formatting. I wrote a function to do this which works as follows (code can be found on github): The above uses an XPath approach to achieve it’s goal. Another approach would be to use a regular expression. These

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