2681 search results for "MAP"

Creating a TRULY Interactive Map of Craft Breweries in VA Using the leafletR Package (Guest Blog Post by Dr. Keegan Hines)

July 7, 2015
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Creating a TRULY Interactive Map of Craft Breweries in VA Using the leafletR Package (Guest Blog Post by Dr. Keegan Hines)

It’s a good feeling when a great friend who is smarter than you offers to write a blog post, for your blog, that’s better than anything you’ve written so far. Friends, colleagues, people who’ve not yet realized they are at the wrong site: please allow me to introduce to you the awe-inspiring Dr. Keegan Hines. The post

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3D Graphing & Maps For Excel, R, Python, & MATLAB: Gender & Jobs, a 3D Gaussian, Alcohol, & Random Walks

July 1, 2015
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3D Graphing & Maps For Excel, R, Python, & MATLAB: Gender & Jobs, a 3D Gaussian, Alcohol, & Random Walks

Showing a third dimension on a flat computer screen is usually hard. Plotly’s interactive 3D graphing changes that. You can zoom, toggle, pan, rotate, spin, see data on the hover, and more. In this post we’ll make 3D graphs with our APIs fo...

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Contours and Networks with epimap and rleafmap

June 30, 2015
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Contours and Networks with epimap and rleafmap

In February, I participated in a hackaton organized by Thibaut Jombart at Imperial College, London, to work on visualization tools for outbreak data. This was a great time spent with great people! Thanks again, Thibaut, for organizing. I took part … Lire la suite →

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Learn to Map Census Data in R

June 25, 2015
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Learn to Map Census Data in R

(This article was first published on AriLamstein.com » R, and kindly contributed to R-bloggers) Today I am happy to announce a new free email course: Mapping Census Data in R. You can sign up via the form at the bottom of this post. The course is designed to provide similar information to what I covered in my tutorial Analyzing US Census Data...

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Leaflet: Interactive web maps with R

June 24, 2015
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Leaflet: Interactive web maps with R

We are excited to announce that a new package leaflet has been released on CRAN. The R package leaflet is an interface to the JavaScript library Leaflet to create interactive web maps. It was developed on top of the htmlwidgets framework, which means the maps can be rendered in R Markdown (v2) documents, Shiny apps, and RStudio IDE

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d3heatmap: Interactive heat maps

June 24, 2015
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d3heatmap: Interactive heat maps

We’re pleased to announce d3heatmap, our new package for generating interactive heat maps using d3.js and htmlwidgets. Tal Galili, author of dendextend, collaborated with us on this package. d3heatmap is designed to have a familiar feature set and API for anyone who has used heatmap or heatmap.2 to create static heatmaps. You can specify dendrogram, clustering, and scaling options

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Interactive Mapping with Leaflet in R

June 19, 2015
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Interactive Mapping with Leaflet in R

Contents Introduction 1. First Steps 1.2 Adding Data 1.2.1 Example 1.4 Useful commands from other spatial R packages 3. Exporting your Web Widget ...

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Plotting spatial neighbors in ggmap

June 15, 2015
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Plotting spatial neighbors in ggmap

The R package spdep has great utilities to define spatial neighbors (e.g. dnearneigh, knearneigh, with a nice vignette to boot), but the plotting functionality is aimed at base graphics. If you’re hoping to plot spatial neighborhoods as line segments in ggplot2, or ggmap, you’ll need the neighborhood data to be stored in a data frame. So, to...

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Animated US Hexbin Map of the Avian Flu Outbreak

June 7, 2015
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Animated US Hexbin Map of the Avian Flu Outbreak

The recent announcement of the start of egg rationing in the U.S. made me curious enough about the avian flu outbreak to try to dig into the numbers a bit. I finally stumbled upon a USDA site that had an embedded HTML table of flock outbreak statistics by state, county and date (also flock type

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Update on Snowdoop, a MapReduce Alternative

May 29, 2015
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Update on Snowdoop, a MapReduce Alternative

In blog posts a few months ago, I proposed an alternative to MapReduce, e.g. to Hadoop, which I called “Snowdoop.” I pointed out that systems like Hadoop and Spark are very difficult to install and configure, are either too primitive (Hadoop)  or too abstract (Spark) to program, and above all, are SLOW. Spark is of … Continue reading...

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