2640 search results for "map"

Unsupervised Google Maps image classification

May 19, 2015
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Unsupervised Google Maps image classification

This is a guest post by Florian Detsch Prerequisites Required packages First, we need to (install and) load some packages required for data processing and visualization. The below code is mainly based on the Rsenal package, which is a steadily … Continue reading →

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Interactive maps for the web in R

May 15, 2015
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Interactive maps for the web in R

Static MapsIn the last post I showed how to download economic data from the World Bank's website and create choropleth maps in R (Global Economic Maps).In this post I want to focus more on how to visualize those maps.Sp PackageProbably the simplest way...

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U.S. Drought Monitoring With Hexbin State Maps in R

May 15, 2015
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U.S. Drought Monitoring With Hexbin State Maps in R

On the news, today, of the early stages of drought hitting the U.S. northeast states I decided to springboard off of yesterday’s post and show a more practical use of hexbin state maps than the built-in (and still purpose unknown to me) “bees” data. The U.S. Drought Monitor site supplies more than just a pretty

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Global Economic Maps

May 12, 2015
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Global Economic Maps

IntroductionIn this post I am going to show how to extract data from web pages in table format, transform these data into spatial objects in R and then plot them in maps.ProcedureFor this project we need the following two packages: XML and raster.The first package is used to extract data from HTML pages, in particular from the sections marked...

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All Paths Lead to the EARL Conference with ggplot2 & ggmap

May 11, 2015
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All Paths Lead to the EARL Conference with ggplot2 & ggmap

By Rich Pugh, Commercial Director I was recently at LondonR, where I saw James Cheshire discussing the ways in which he created stunning maps for his book, London:  The Information Capital, using R.  If you want a glimpse of James’ … Continue reading →

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Exchange data between R and the Google Maps API using Shiny

May 10, 2015
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A couple of years ago I wrote a post about using Shiny to exchange data between the Google Maps API and R: http://r-video-tutorial.blogspot.ch/2013/07/interfacing-r-and-google-maps.htmlBack then as far as I remember Shiny did not allow a direct exchange of data between javascript, therefore I had to improvise and extract data indirectly using an external table. In other words, that work was not...

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Cohort Analysis with Heatmap

Cohort Analysis with Heatmap

Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the “layer-cake” chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts.... Read More »

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choroplethrZip v1.3.0: easier demographics, national maps

April 28, 2015
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choroplethrZip v1.3.0: easier demographics, national maps

Introduction choroplethr v3.0 is now available on github. You can get it by typing # install.packages("devtools") library(devtools) install_github('arilamstein/[email protected]') Version 1.3.0 has two new features: Data frame df_zip_demographics contains eight demographic statistics about each ZIP Code Tabulated Area (ZCTA) in the US. Data comes from the 2013 5-year American Community Survey (ACS). Function ?get_zip_demographics will return

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choroplethrZip v1.3.0: easier demographics, national maps

April 28, 2015
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choroplethrZip v1.3.0: easier demographics, national maps

Introduction choroplethr v3.0 is now available on github. You can get it by typing # install.packages("devtools") library(devtools) install_github('arilamstein/[email protected]') Version 1.3.0 has two new features: Data frame df_zip_demographics contains eight demographic statistics about each ZIP Code Tabulated Area (ZCTA) in the US. Data comes from the 2013 5-year American Community Survey (ACS). Function ?get_zip_demographics will return

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Visualisation with R and Google Maps

For those of you who are interested in using R alongside Google Maps by using the packages geonames (www.geonames.org), RgoogleMaps, ggmap, loa and plotKML. Enjoy the slides of our presentation on this topic during the last RBelgium meetup. &nbs...

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