Choropleth Map R

Making maps in R. Choropleths. These maps tend to use WGS84 as a coordinate reference system. A choropleth map is a very nice graph, I really like them a lot. Git Installing git Setting up, using Git. Start studying AP Human Geography Map Fundamentals. Scimago Institutions Rankings has been developed by Scimago Lab. Basic Usage. Some pertinent uses are population density, economic measurements, crime statistics, and election results. It has a number of features: Choropleth map based on postcode area. You can download helpers. Figure 1: An illuminated choropleth map of the conterminous United States. This code example retrieves US state boundaries from a Spatial Data Source that contains US census data. I would like to do the same exercise in R but that's for another day once I get to know R better. Choropleth maps are used to visualize area-related, standardized data on a cardinal or ordinal scale with different colors or hatching (Slocum et al. R includes all of the necessary tools for creating choropleth maps, but Trulia's Ari Lamstein has made the process even. I found the combination of R/ggplot/maps package extremely flexible and powerful, and produce nice looking map based visualizations. Before we make a bivariate choropleth map, let's quickly cover the concept of univariate choropleth maps. Choroplethr is a suite of R packages that facilitates mapping demographic statistics. Just Like That !!!: R : Plotting Heat-map choropleth on US. Armstrong, Assessing the effect of attribute uncertainty on the robustness of choropleth map classification, International Journal of Geographical Information Science, 21, 2, (121), (2007). In this seventh episode of Do More with R, learn how to create maps in R—it’s easier than you think, thanks to new and updated packages like sf, tmap, and ggplot2 I can create a choropleth. Map 2: Incident occurrences using one color with transparency. When to use choropleth maps. Hanink , Jie Lin Cartographica: The International Journal for Geographic Information and Geovisualization. When value provided sets the height of the map. On “load the unemployment by county data”, it looks like you missed the step to enter() so it will loop through the data to quantize the color, which is the heart of chloropleths. R Code for this map available from This is the Green Room. No matter what, though, creating maps in R is trickier than doing it in a GIS system, particularly when you don't have 'on the fly' projection as you have in both ArcGIS and QGIS. html') instead of display(map) Choropleth map. 0 2015-05 First stable release of tmap tmap 1. In this example, we use data from the built-in R dataset, USArrests, which includes United States arrests in 1973 per 100,000 inhabitants in various categories by state. Define choropleth map. Created a zip code Geocode service based on a polygon zip code feature class, and registering that zip code geocode service with my Portal. Choropleth maps, like the example. IN THIS POST I WANT TO REVISIT SOME MAPS I MADE LAST YEAR. Since my original post on choropleth maps a little over a month ago I have been thinking about ways to display all of the data in Table 1 (i. NOTE: After I posted this (like within 5 minutes) I found this post which also constructs bivariate chropleths in R. Choropleth map animation is widely used to show the development of spatial processes over time. For standard, reproducible chart types, we will today explore another approach: Making JavaScript visualizations directly from R/RStudio. OVRDC GIS Tutorials. Providing ready-made functions for creating choropleths of common maps. Many R programmers need to create custom data maps in R. This interactive map colours each electoral constituency by the political party of the currently sitting MP. -The Choropleth Map In this work, French mathematician Charles Dupin examines the industrial arts and occupations present in France during the first part of the 19th century. Learn from a team of expert teachers in the comfort of your browser with video lessons and fun coding challenges and projects. The effect is similar to a dot density map, but with no need for randomly distributing points around polygons. …Let's give that a try in R. To demonstrate them, we'll show how to make a simple choropleth map, using US Census data available here. When counts are symbolized using lightness (noting that darker is always interpreted as more), the map of recalculated values varies greatly from the map of original values. vector map Software - Free Download vector map - Top 4 Download - Top4Download. geoNL 2014 General functions to create thematic maps for the Netherlands geo 2014-07 ggplot2 style approach to create thematic maps tmap 0. In this seventh episode of Do More with R, learn how to create maps in R—it’s easier than you think, thanks to new and updated packages like sf, tmap, and ggplot2 I can create a choropleth. Git Installing git Setting up, using Git. A choropleth map, of course, requires data. The worksheet includes a number of diagrams which children have to look at and complete. It displays a region of interest with subregions colored. But both SAS and R have complex functionality for using pre-compiled map data. 1 - ArcMap is not graphic design software. , those that rely on packages such as GIStools, maps, mapdata or mapproj. …A choropleth map is a geographical map where spatial areas…are colored in hues that represent the quantity…of a given attribute in that specific geographic region. I was working on making a map in R recently and after an extensive search online, I. So, the word Choropleth was coined by a cartographer named John Kirtland Wright in 1938. This type of map is particularly useful when visualizing a variable and how it changes across defined regions or geopolitical areas. I recently created a package in R to facilitate creating choropleths called choroplethr. Great Work! Nice and pretty map. I recently created a map of the cost of crime in Philadelphia’s neighborhoods: After calculating these values in R, I needed a way to present the total cost of crime in each neighborhood in a digestible way. You'll encounter it in "step 3: Visualize" of the map making process. Choropleth Map Shapes Explained It is important for the VBA developer to understand how the shapes are arranged in a choropleth map in order to assign properly OnAction macros and create hyperlinks in them. Some of them discussing maps in Tableau, but most of them dealing with the question how to implement Choropleth Maps or Cartograms in Microsoft Excel. You could instead use rworldmap that already has a world map in R and has functions to aid joining data to the map. Fanshawe Gate Farm Boundaries. wages for IT managers. ADRC AHAH Blog Call for abstracts cartographer choropleth maps coding Conference consumer data Consumer Data Research Centre Corporate Responsibility Data Linkage Data Management Data Matching Data Partner Forum Data Quality Data Science event; events F26 footfall GeoDa GIS health healthy high streets housing internet user classification Leeds. It shows the percentage of adults with 25 years old and more with a bachelor's degree or higher in USA. Remember, you replace your ggplot() call with a ggmap() call and the original ggplot() call moves to the base_layer() argument, then you add your polygon layer as usual:. Bivariate mapping is an important technique in cartography. Since my original post on choropleth maps a little over a month ago I have been thinking about ways to display all of the data in Table 1 (i. An example of estimating catchment zones for rehabilitation centers, and the resulting load on centers, based on distances through the road network. Gilles Palsky, « Connections and exchanges in European thematic cartography. The goal here is to go from knowing nothing about shapefiles, to being able to create meaningful and attractive maps. Below is an example of choropleth map showing the rate of excessive drinkers by county. In addition to facilitating the creation of choropleth maps, choroplethr ships with demographic statistics from the US Census Bureau. Visualize Data with a Choropleth Map agosto de 2019 – agosto de 2019. These are the general steps of the project: Locate and download shapefiles from www2. NOTE: After I posted this (like within 5 minutes) I found this post which also constructs bivariate chropleths in R. DataCamp offers interactive R, Python, Sheets, SQL and shell courses. Currently CSV is the only supported data format for creating choropleth maps with d3-geomap. How to create a choropleth map. Okay, we want a map of "The States" where each state is colored by some metric. Choropleth maps. If no value provided, defaults to 500 for bl. attached map) using ggplot2. A choropleth map (from Greek χῶρος "area/region" and πλῆθος "multitude") is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per-capita income. A choropleth map is a shaded map to show numerical variations such as population density. R supports vectors, matrices, lists and data frames. Choropleth map Now that you understand drawing polygons, let's get your polygons on a map. choroplethr also makes it easy to visualize data from the US Census. For example, if we show the value of unemployment on a proportional symbol map of the UK, Dundee would have bigger visual importance then Highland if their unemployment values were so (e. A bivariate map displays two variables on a single map by combining two different sets of graphic symbols or colors. A boxplot is a way of summarizing a set of data measured on an interval scale. Before getting started with your own dataset, you can check out an example. Each example within this tutorial introduces a variety of R packages to visualize maps in R. Pingback: Combine choropleth data with raster maps using R - Mubashir Qasim. For choropleth maps simplicity is best. An Introduction to Choropleth maps in R: Basic Graphics. 1 - ArcMap is not graphic design software. There are many tools to make choropleths out there, each offering various levels of difficulty, and with various advantages. One of the neat tools available via a variety of packages in R is the creation of beautiful tables using data frames stored in R. Thus, where defined regions are important to a discussion, as in an election map divided by electoral regions, choropleths are preferred. A choropleth map, of course, requires data. The map used is state. The map can be customised (see rworldmap documentation) but here is a start :. This tutorial has been very helpful in creating my project. A choropleth map is a thematic map in which areas are colored in proportion to the measurement of a statistical variable being displayed, such as. As always, first prepare the data that will be used for generating the graph. For starters, let's deal with NA values. Numeric data should then be normalized using the Divide By parameter when used to. There are so many tools out there that can make maps but working with robust large datasets will only be supported by a few tools like R etc One of the best ways of visualizing spatial data is through a map and one has to play around with the right colours to match the right context. One widely used graphical method is the "statistical map," or what is better known in cartography as the choropleth map. For a long time, R has had a relatively simple mechanism, via the maps package, for making simple outlines of maps and plotting lat-long points and paths on them. Our APIs and SDKs allow Data Scientists, Developers and Business Users to carry out spatial analysis, modelling and visualization. Under the Format paintbrush there are several sections available to modify the appearance. However, the args provides the needed flexibility. Hello, I would like to draw a map of Europe. I recently created a package in R to facilitate creating choropleths called choroplethr. This makes it not strictly multivariate, but it uses the same ideas. We have developed choropleth mapping to our Google Map Builder, to support import data from Excel file and generate color gradient on map. Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. Providing ready-made functions for creating choropleths of common maps. It is based on Interactive Choropleth Map. 3 Choropleth mapping with ggplot2. Be careful with your color choices, as they can quickly change what the map shows. Mapping with ggplot: Create a nice choropleth map in R I was working on making a map in R recently and after an extensive search online, I found a hundred different ways to do it and yet each way didn’t work quite right for my data and what I wanted to do. Choroplethr is a package for creating choropleth maps from shapefiles in R. A choropleth map is a thematic map where geographic regions are colored, shaded, or patterned in relation to a value. This part of the code checks in geojson properties the colour of route:. Sign in Register Creating a Leaflet choropleth map with a pop-up in R; by Kyle Walker; Last updated about 4 years ago;. A choropleth map is a map in which areas (like states or countries) are filled with colors according to your data. Currently CSV is the only supported data format for creating choropleth maps with d3-geomap. Cromley , Dean M. In a choropleth, regions are colored based on some metric, such as which presidential candidate a state voted for. 02/28/2018; 2 minutes to read; In this article. At its core, choropleth maps rely on color to represent different scales of data. Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. Earlier, we looked at how the CDC uses choropleth maps to track outbreaks of. A choropleth map is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per. choropleth maps, cartograms. Some time ago, FlowingData issued a challenge to create choropleth maps with open source tools, resulting in some nice little scripts using R's ggplot2 and maps packages — all nicely covered on the Revolution Analytics blog. Impress your Colleagues, Clients, Team Leads or a class presentation with the customised Choropleth map. The map can be customised (see rworldmap documentation) but here is a start :. Course Outline. The failures to map this data lead me to try and achieve the results I wanted with choropleth maps on SQL Anywhere by using its inbuilt SVG capabilities. map in the choroplethrMaps package. There are different ways of creating choropleth maps in Python. Choropleth maps also tend to make it easy to spot trends geographically, like the clusters of major cities in the household income map above. Choropleth maps are based on statistical data aggregated over previously defined regions (e. This post has five examples. com website. A choropleth is a thematic map where areas are colored according to some characteristic of those areas. Here is an example of a choropleth map created on the U. Create simple tables on postsecondary sample survey datasets. Ask Question Asked 3 years, 9 months ago. Choropleth maps are thematic maps in which different areas are colored or shaded in accordance with the value of a statistical variable being represented in the map. This post is a simple demonstration of how to make choropleth maps like the one here using local authorities in England and Wales. Make the maps! 4. It aims to simplify and standardize the process of making state and county choropleth maps in R. Gilles Palsky, « Connections and exchanges in European thematic cartography. This Drilldown Choropleth map shows military veterans by county in the United States. A choropleth map shades geographic regions by value. While these tools make it easy to work with shapefiles, and expose a range of common everyday GIS operations, they aren’t particularly well-suited to exploratory data analysis. I was working on making a map in R recently and after an extensive search online, I. References for readings and articles, videos shown, websites referenced, and software demonstrated are listed for each topic. Here, we can see a bathymetric map of the Nordic Seas. Evaluation of methods for classifying epidemiological data on choropleth maps in series @inproceedings{Brewer2002EvaluationOM, title={Evaluation of methods for classifying epidemiological data on choropleth maps in series}, author={Cynthia A. This tells us that parts of our region might not be as highly educated as the United States. A boxplot is a way of summarizing a set of data measured on an interval scale. Choropleth definition at Dictionary. I'm going to show you how to create…a choropleth map and a point map. Can someone please help with finding the right package/code?. You can also have multivariate maps, showing more than two variables (my personal fave is pop vs. A factor in the use of these maps has been the need to. This tells us that parts of our region might not be as highly educated as the United States. A choropleth map is a very nice graph, I really like them a lot. Posted by. Just click on “Choropleth Maps” in the Categories roll on the right side of the blog and you will see that we already had 18 (!) posts in this category. Bivariate Choropleth When to Use. The effect is similar to a dot density map, but with no need for randomly distributing points around polygons. Making maps in R. This provides a way to visualise values over a geographical area, which can show variation or patterns across the displayed location. The dataset used for illustration is derived from NYC restaurant violation results. See country. NOTE: After I posted this (like within 5 minutes) I found this post which also constructs bivariate chropleths in R. 3 Choropleth maps Choropleth maps (8. The map used is county. In this post, I will demonstrate a step-by-step approach to creating an animated, interactive choropleth map using rMaps and DataMaps. creating a fully functional web gis application using the R programming language. regions in the choroplethrMaps package for an object which can help you coerce your regions into the required format. So, the word Choropleth was coined by a cartographer named John Kirtland Wright in 1938. Choroplethr simplifies this process by. Some time ago, FlowingData issued a challenge to create choropleth maps with open source tools, resulting in some nice little scripts using R’s ggplot2 and maps packages — all nicely covered on the Revolution Analytics blog. What I mean by that is the case of Choropleth map for example, where we are using the borders that to draw of the country as marks to our information that we want to communicate. We've got 0 rhyming words for choropleth map » What rhymes with choropleth map? This page is about the various possible words that rhymes or sounds like choropleth map. But, this map has value and it is a valid map. A choropleth map is a thematic map featuring regions colored or shaded according to the value assumed by the variable of interest in that particular region. Great Work! Nice and pretty map. R New to Plotly? To create mapbox maps with Plotly,. This tool is provided as an ArcGIS add-on for creating hillshaded versions of choropleth maps. In a next step, it. Data concerns the period between 2010 - 2014. Choropleth maps have several advantages. …Let's give that a try in R. Choropleth map. Some users have recently asked whether the acs package can be used to create similar maps, and the answer (of course. "The choropleth map provides an easy way to visualize how a measurement varies across a geographic area or it shows the level of. All figures; Categorical Data; Distributions. Regions are colored by a variable. addTiles, addMarkers, addPolygons) to modify the map widget. Skip to content. ) Carefully begin to shade the countries to show their population density. All on topics in data science, statistics and machine learning. In this seventh episode of Do More with R, learn how to create maps in R—it’s easier than you think, thanks to new and updated packages like sf, tmap, and ggplot2 I can create a choropleth. Click through for Devin’s video and example. Create Heat Map (Choropleth Map) Online Showcase > Map solution based on Google map > Choropleth Map is a geographical presentation of data in numerical values using colors. Providing ready-made functions for creating choropleths using 220 different maps. Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. These maps allow for easy visual comparison of a certain factor, like per capita income or fertility rate. Interactive Choropleth Map. regions in the choroplethrMaps package for an object which can help you coerce your regions into the required format. These particular maps are more commonly known as “value-by-alpha” maps, and are a much better representation of normalized data for geographic areas than your standard choropleth map. A choropleth map is a shaded map to show numerical variations such as population density. It shows the percentage of adults with 25 years old and more with a bachelor's degree or higher in USA. but when i have to fill each polygon with other data (csv),…. The heat map such as the one shown below does discriminate the high low values well enough. ggplot2's benefit is you can slowly build graphs or maps and improve the graph at every step. We need to change the color palette, improve the legend, use a log scale transformation for the colorscale, change background and add titles and explanation. It does get a bit trickier if you want to add interactivity using a dropdown, as you need individual colorscales for each layer. Rather than recreate definitions, please find the following resources as great places to dive into the background and commentary on choropleth maps:. This is a map of the political party selections per each state based upon the poor voters. I was intrigued to see that unexpected places like St. choroplethr / R / choropleth. Displaying spatial data is must have activity/skill that most journalists should have. Make a choropleth map, part 1: create a style One way to show data distribution on a map is with a choropleth , a thematic map in which areas are shaded based on a particular value. Created by Max Galka, this map duel encodes median household income for various cities using both color and tract height. Skip to content. Area cartograms have enjoyed a noticeable increase in popularity in recent years and are often seen as a natural alternative to the more traditional choropleth map. Make the maps! 4. References for readings and articles, videos shown, websites referenced, and software demonstrated are listed for each topic. The dataset used for illustration is derived from NYC restaurant violation results. It was developed on top of the htmlwidgets framework, which means the maps can be rendered in R Markdown (v2) documents, Shiny. Creating a Choropleth Map of the World in Python using GeoPandas. All you have to do is pass the parameter reference_map = TRUE to the existing functions. It is a variation of simple choropleth map that portrays two separate phenomena simultaneously. In this section we'll use the choroplethr package to create maps that display information by country, US state, and US county. Thus, where defined regions are important to a discussion, as in an election map divided by electoral regions, choropleths are preferred. But both SAS and R have complex functionality for using pre-compiled map data. edu/images/ProteinMatrix. It is based on Interactive Choropleth Map. I recently created a package in R to facilitate creating choropleths called choroplethr. As per Wikipedia definition of Choropleth map; “A choropleth map is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per-capita income. com, the largest free online thesaurus, antonyms, definitions and translations resource on the web. How to make a Choropleth Map of Florida in Python with Plotly. Choropleth maps are useful in displaying data across geographic regions. We’ll use the ggmap package to generate the plot. The style of map is called a Choropleth (apparently - I had no idea ). It is therefore no longer necessary for the cartographer to "quantize" data by combining values into class intervals. John R, and Andrew J (2010), Below is a map showing the boundaries of the fanshawe gate farm. Your first choropleth map with R (leaflet, interactive) […] December 31, 2016 Reply Bart hi Marie,i have used your example to create a map with the municipalities in the Netherlands and a value per municipality. Choropleth Map with Proportional Symbols from ARCDATA PRAGUE, in GIS: Our Common Language, ESRI Map Book, Volume 12, 1997. Just click on “Choropleth Maps” in the Categories roll on the right side of the blog and you will see that we already had 18 (!) posts in this category. Choropleth maps can be described as the most commonly created thematic map type, in large part due to the relative ease of their creation using most GIS software packages and also due to the perception that they are easily understood. However, that just allows me to geocode points by zip code in Maps for Office. for whatever variable in effect show population density more than anything else. 2) where we read the boundary files as data sets and use SAS and R to plot them. Choropleth maps use different shading and coloring to display the quantity or value in defined areas. Choropleth or thematic maps are an effective and popular way to show geographic data. The title of my blog mentions choropleth maps and if you are curious as to what a choropleth map is, then I like the explanation found here. Make a choropleth map, part 1: create a style One way to show data distribution on a map is with a choropleth , a thematic map in which areas are shaded based on a particular value. Although animation congruently depicts change, the rapid succession of complex map scenes easily exceeds the human cognitive capacity, causing map users to miss important information. At Plotly, we are commonly asked about thematic maps — especially county-level choropleth maps. ggplot2 is a widely used and powerful plotting library for R. library (ggplot2). Choropleth Maps in R How to make a choropleth map in R. A choropleth map is a thematic map in which areas are colored in proportion to the measurement of a statistical variable being displayed, such as. 13-10-07 Update: Please see the Vincent docs for updated map plotting syntax. PDF | Choropleth maps are commonly used to show statistical variation among map enumeration units. Remove the comma, and all is well:. This is very interesting and great but often enough OSGB36 is not the standard normally used for choropleth. It was developed on top of the htmlwidgets framework, which means the maps can be rendered in R Markdown (v2) documents, Shiny. Welcome; Figures. What are choropleth maps. A choropleth map is a thematic map featuring regions colored or shaded according to the value assumed by the variable of interest in that particular region. So, let's have a look at how they work. map in the choroplethrMaps package. There are many ways to plot choropleth maps in R. Jose Manuel vera. The CIESIN Java 3. 주시내별 어떠한 정보를 담기 위하여 R의 내장데이터인 USArrests 를 활용해 보았다. Choropleth [ˈkɔːrəˌplɛθ] : A map with geographical areas colored in relation to a data variable. The R package tmap offers a coherent plotting system for thematic maps that is based on the layered grammar of graphics. Wikipedia:. Choropleth maps are a useful way to visualize this kind of information. regions in the choroplethrMaps package for an object which can help you coerce your regions into the required format. This type of map is particularly useful when visualizing a variable and how it changes across defined regions or geopolitical areas. For ggplot this can be done by merging:. Each example within this tutorial introduces a variety of R packages to visualize maps in R. A choropleth map; also used attributively. ) carefully draw a legend onto your map – use a ruler, select a colour and display the shades you will use for each set of data. ADRC AHAH Blog Call for abstracts cartographer choropleth maps coding Conference consumer data Consumer Data Research Centre Corporate Responsibility Data Linkage Data Management Data Matching Data Partner Forum Data Quality Data Science event; events F26 footfall GeoDa GIS health healthy high streets housing internet user classification Leeds. How do I integrate multiple choropleth maps made with Leaflet in Shiny? I have created three separate choropleth maps in Leaflet, all are across Europe with the same countries being used. Currently CSV is the only supported data format for creating choropleth maps with d3-geomap. Faster Choropleth Maps with Microsoft Excel This blog post by Robert Mundigl for Clearly and Simply provides detailed guidance on producing choropleth maps using Excel. geoNL 2014 General functions to create thematic maps for the Netherlands geo 2014-07 ggplot2 style approach to create thematic maps tmap 0. Yet I am interested in generating a custom choropleth map. An Introduction to Choropleth maps in R: Basic Graphics. Step 10 - Make the maps. The goal here is to go from knowing nothing about shapefiles, to being able to create meaningful and attractive maps. According to the developer Ramnath Vaidyanathan’s github. Making maps in R. My output looks like this: Which looks pretty good to me. query() BNC2014 British National Corpus choropleth maps distributional hypothesis exploratory methods frequency frequency list frequency lists ggplot GloVe hapax historical corpus literature POS R readme script semantic annotation semantics sociolinguistics split infinitive spoken Summer School teaching Twitter variation word2vec word. Yet I am interested in generating a custom choropleth map. attached map) using ggplot2. choroplethr: Simplify the Creation of Choropleth Maps in R. More than 2 years have passed since publication and the available tools have evolved a lot. In this example, we use data from the built-in R dataset, USArrests, which includes United States arrests in 1973 per 100,000 inhabitants in various categories by state. A choropleth map is a thematic map featuring regions colored or shaded according to the value assumed by the variable of interest in that particular region. Choropleth map Now that you understand drawing polygons, let's get your polygons on a map. Created a zip code Geocode service based on a polygon zip code feature class, and registering that zip code geocode service with my Portal. Bivariate choropleth maps shade different units (in my case, states - but could be counties or countries) different colors based on these variables. Install and load the necessary packages 2. Step 10 - Make the maps. creating a fully functional web gis application using the R programming language. wages for IT managers. 0 provides several choropleth maps, that is the US divided by states and world regions with country divisions. ocks integration. It is therefore no longer necessary for the cartographer to "quantize" data by combining values into class intervals. Using the maptools library (which will also load the sp library), the generic plot method can be used with a SpatialPolygonsDataFrame object; in addition, the sp package offers spplot. For example, if we show the value of unemployment on a proportional symbol map of the UK, Dundee would have bigger visual importance then Highland if their unemployment values were so (e. A choropleth map is a thematic map in which areas are shaded or colored according to variable values. county_choropleth: Create a choropleth of US Counties in choroplethr: Simplify the Creation of Choropleth Maps in R. json file can be found here How to setup the content used in SAP Visual Business analytic choropleth map Sample. Non-Contiguous Cartograms When to Use. 3 Choropleth maps Choropleth maps (8. Jose Manuel vera. In our book, we show a simple example of a map (section 6. Reed College enrollment by state from 2007-2013) in a single choropleth … finish reading Choropleth Maps Revisited. Choropleth or thematic maps are an effective and popular way to show geographic data. Use it for writing poetry, composing lyrics for your song or coming up with rap verses. edu Boris Dev Department of Geography San Diego State University [email protected] In this scenario, we are going to make the data all one color and we are going to set the alpha variable which will make the dots transparent. A fortnight ago I made a choropleth map to go alongside this story for the Hackney Post. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: