3616 search results for "gis"

Installing rgdal in Ubuntu 13.04

November 26, 2013
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The Geospatial Data Abstraction Library (GDAL) is a workhorse of digital mapping. Written in c++, it underpins many online and desktop geoprocessing programs including QGIS and GeoServer. Through its OGR library, GDAL enables the import and export of most common spatial data formats, including the trusty ESRI Shapefile. These features and more make access to GDAL capabilities critical for...

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Not only verbs but also believes can be conjugated

November 26, 2013
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Not only verbs but also believes can be conjugated

Following on from last week, where I presented a simple example of a Bayesian network with discrete probabilities to predict the number of claims for a motor insurance customer, I will look at continuos probability distributions today. Here I follow example 16.17 in Loss Models: From Data to Decisions . Suppose there is a class of risks...

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Getting Started with Mixed Effect Models in R

November 25, 2013
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Getting Started with Multilevel Modeling in R Getting Started with Multilevel Modeling in R Jared E. Knowles Introduction Analysts dealing with grouped data and complex hierarchical structures in their data ranging from measurements nested within participants, to counties nested within states or students nested within classrooms often find themselves...

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Mapping Foodborne Chicago Reports

November 25, 2013
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Mapping Foodborne Chicago Reports

I help out with a project called Foodborne Chicago, where we search twitter for people in Chicago mentioning "food poisoning" and @reply to them with a link where they can file a report with the city of Chicago's Department of Public Health. The applic...

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R: Mapping Super Typhoon Yolanda (Haiyan) Track

November 24, 2013
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R: Mapping Super Typhoon Yolanda (Haiyan) Track

After reading Enrico Tonini post, I decided to map the super typhoon Haiyan track using OpenStreetMap, maptools, and ggplot2. If mapping with googleVis was possible with 13 lines only, that can also be achieved with the packages I used; but because I p...

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rgbif changes in v0.4

November 21, 2013
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The Global Biodiversity Information Facility (GBIF) is a warehouse of species occurrence data - collecting data from a lot of different sources. Our package rgbif allows you to interact with GBIF from R. We interact with GBIF via their Application Programming Interface, or API. Our last version on CRAN (v0.3) interacted with the older version of their API -...

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Simudidactic

November 21, 2013
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swirl

(This article was first published on bayesianbiologist » Rstats, and kindly contributed to R-bloggers) auto·di·dact n. A self-taught person. From Greek autodidaktos, self-taught : auto-, auto- + didaktos, taught; + sim·u·late v. To create a representation or model of (a physical system or particular situation, for example). From Latin simulre, simult-, from similis, like; = (If you can get past the mixing of Latin and Greek roots) sim·u·di·dactic adj. To learn by...

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How to format plots for publication using ggplot2 (with some help from Inkscape)

November 20, 2013
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How to format plots for publication using ggplot2 (with some help from Inkscape)

The following is the code from a presentation made by Rosemary Hartman to the Davis R Users’ Group. I’ve run the code through the spin function in knitr to produce this post. Download the script to walk through here. First, make your plot. I am going to use the data already in R about sleep habits...

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Plugging hierarchical data from R into d3

November 20, 2013
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Plugging hierarchical data from R into d3

Here I show how to convert tabulated data into a json format that can be used in d3 graphics. The motivation for this was an attempt at getting an overview of topic models (link). Illustrations like the one to the right are very attractive; my motivati...

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Sending data from client to server and back using shiny

November 20, 2013
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Sending data from client to server and back using shiny

After some time of using shiny I got to the point where I needed to send some arbitrary data from the client to the server, process it with R and return some other data to the client. As a client/server programming newbie this was a challenge for me as I did not want to dive

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