3323 search results for "map"

R & GGMap Visualization Case Study

January 21, 2016
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Guest post by Krishna Prasad As a business analyst using R, one has often stumbled across situations for visually representing the data on a map. Here are some common scenarios: ·         Represent the most densely populated cities on a Map ·         Showing the cheapest places to live in ·         Where can one buy a home with the cheapest home Insurance...

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10 D3.js and WebGL weather, maps, and geography charts made in Python and R

January 16, 2016
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10 D3.js and WebGL weather, maps, and geography charts made in Python and R

Below are 10 charts made in R or Python by Plotly users on weather, maps and geography. 1. Doctor Who? – Timelords weather forecast for different cities Chart Link: https://plot.ly/~wthrmn/30/timelords-weather-forecast-1152016/Chart Author: @ wthrmnTouched up in: Plotly online editorCode: Python code R Code 2. Its raining ! – US Precipitation (June 2015) Chart Link: https://plot.ly/~RPlotBot/334/us-precipitation-06-30-2015-source-noaa/Chart Author:

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Combining Admin 1 Choropleths and Reference Maps

January 11, 2016
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Combining Admin 1 Choropleths and Reference Maps

A new version of choroplethr (v3.4.0) is now on CRAN. It allows you to combine Administrative Level 1 choropleths with reference maps. For reference, this functionality has been present for US maps for a while now (1, 2). This update just extends that functionality to the Administrative Level 1 mapping function, admin1_choropleth. To do this, The post

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Create your own hexamaps

January 4, 2016
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Create your own hexamaps

Hexamaps are gaining in popularity. Most notably has been the versions, where the map of the USA has been made into a hexamap. But people have also made maps of Europe using hexagons. The idea is that one unit is one hexagon. So in case of the US, each state is one hexagon. In the... Read more »

Faster Admin 1 Maps in Choroplethr

January 4, 2016
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Faster Admin 1 Maps in Choroplethr

A new version of ChoroplethrAdmin1 is now on CRAN, and it dramatically speeds up making Administrative Level 1 maps in choroplethr. “Administrative Level 1” is just a generic term for “1st subnational division”. In the US this is called a State, in Canada it’s called a Province, and so on. Overall, this package contains Admin The post

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Fun with Heatmaps and Plotly

December 29, 2015
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Just because we all like numbers doesn’t mean we can’t have some fun. Here’s to wishing to everyone a very Happy New Year ! # install.packages("jpeg") library(jpeg) library(plotly) # Download a jpeg file from imgur URL <- "http://i.imgur.com/FWsFq6r.jpg" file <- tempfile() download.file(URL, file, mode = "wb") # Read in JPEG file j <- readJPEG(file) j

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World Map Panel Plots with ggplot2 2.0 & ggalt

December 29, 2015
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World Map Panel Plots with ggplot2 2.0 & ggalt

James Austin (@awhstin) made some #spiffy 4-panel maps with base R graphics but also posited he didn’t use ggplot2 because: …ggplot2 and maps currently do not support world maps at this point, which does not give us a great overall view. That is certainly a box I would not put ggplot2 into, especially with the

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“Mapmaking in R with Choroplethr” is now out!

December 29, 2015
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“Mapmaking in R with Choroplethr” is now out!

I am happy to announce that my new course, Mapmaking in R with Choroplethr, is now available. In honor of its launch I am offering a 15% discount to anyone who purchases before January 1. You will also be able to attend a Q&A webinar with me on January 5th. Creating this course has been The post

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mapview 1.0.0 now on CRAN

December 16, 2015
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mapview 1.0.0 now on CRAN

we are happy to announce that mapview 1.0.0 has been released on CRAN. Together with Florian Detsch (R, Rcpp), Christoph Reudenbach (js) and Stefan Woellauer (js) we have put together a powerful tool for on-the-fly mapping of spatial data during … Continue reading →

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New Course: Mapmaking in R with Choroplethr

December 9, 2015
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s-v-c

Today I am happy to announce that my new online course, Mapmaking in R with Choroplethr, is now available for preorder. The course is designed to teach you everything you need to start your first mapping project in R using choroplethr. The course will teach you how to: Conduct exploratory analysis using maps in R Create 220 different maps, from US ZIP The post

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