3749 search results for "Map"

Mapping & Web-scraping the 2016 Presidential Election Results in Connecticut

November 12, 2016
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Mapping & Web-scraping the 2016 Presidential Election Results in Connecticut

Understanding my Neighbors with R and Leaflet - I, like many others across the country have been in total shock and mental disarray at the results from the election this past Tuesday. I’m not sure what to make of my fellow Americans voting for an outright racist, sexist, homophobic and xenophobic egomaniac and what that will mean...

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Maps are great – German Gas Prices illustrated

November 12, 2016
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Maps are great – German Gas Prices illustrated

One of the most appealing data visualisation charts are maps. I love maps as they combine an incredible information density with intuitive readability. Also I feel that most people prefer maps over other visualisations. (Is there research on this?) So...

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Mapping Election Results in Utah

November 10, 2016
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Mapping Election Results in Utah

My adopted home state of Utah has been a weird place this election cycle. For the unfamiliar, Utah is extremely conservative when it comes to politics; it is one of the reddest of the red states and has backed the Republican candidate for president for...

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BelgiumMaps.StatBel: R package with Administrative boundaries of Belgium

BelgiumMaps.StatBel: R package with Administrative boundaries of Belgium

We recently opened up the BelgiumMaps.StatBel package and made it available at https://github.com/bnosac/BelgiumMaps.StatBel. This R package contains maps with administrative boundaries (national, regions, provinces, districts, municipalities, statistical sectors, agglomerations (200m)) of Belgium extracted from Open Data at Statistics Belgium.  The package is a data-only package where maps of administrative zones in Belgium are available...

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Map Projections for R Shapefiles: United States

November 2, 2016
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Map Projections for R Shapefiles: United States

Someone contacted me recently about the map projections used in my blscrapeR package. After a bit of web searching, I couldn’t find a really good list of map projections for the continental U.S. that could be used in R. This list is as much for my own reference as anyone else, but hope you find

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mapmate 0.1.0

November 1, 2016
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mapmate 0.1.0

mapmate has now been updating from version 0.0.2 to 0.1.0 on Github. The biggest addition is a number of plotting options for making different kinds of maps. The new tutorial content below provides a number of code examples for making a variety of maps and also highlights current limitations associated with certain map types and

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Mapping EFSA’s food consumption data with tmap

October 27, 2016
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Mapping EFSA’s food consumption data with tmap

Disclaimer The opinions expressed in the article are those of the author(s) only, and may not necessarily represent the views of EFSA or of any other EU Institution or body. EFSA’s food consumption data The European Food Safety Authority collects food consumption data from all EU countries and and integrates them in their database. The data is based on country specific surveys, in which...

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mapmate 0.0.2

October 26, 2016
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mapmate 0.0.2

mapmate is an R package for map- and globe-based data animation pre-production. Specifically, mapmate functions are used to generate and save to disk a series of global map graphics that make up a still image sequence, which can then be used in video editing and rendering software of the user’s choice. This package does not

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Plotting Driving Routes and Rental Data for Houston | gepaf, gmap, plotly, Leaflet

October 25, 2016
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Plotting Driving Routes and Rental Data for Houston | gepaf, gmap, plotly, Leaflet

I started with a new script to scrape rental data for Houston, and i’m curious to see if i could not only plot the posts and the rentals, but also a cluster plot using Leaflet. I’m also eager to try … Continue reading →

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How to create a fast and easy heatmap with ggplot2

October 17, 2016
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How to create a fast and easy heatmap with ggplot2

The heatmaps are a tool of data visualization broadly widely used with biological data. The concept is to represent a matrix of values as colors where usually is organized by a gradient. We can find a large number of these graphics in scientific articles related with gene expressions, such as microarray or RNA-seq. In the next example, … Continue...

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