You can do this without RGoogleMaps. There are shapefiles & RData files at UC Davis for every region on the planet. The following annotated code: downloads an RData SpatialPolygonsDataFrame of the admin level 1 areas of DR grabs my theme_map makes a sample data set plots a choropleth with a...
What's happening is that the path elements that represent the states are filled black by default. These are the weird shapes that you're seeing -- most of it is obscured by the county paths, but some of them are still visible. To prevent this from happening, copy the CSS from...
python,svg,beautifulsoup,elementtree,choropleth
alexce's answer is correct for your first question. As far as your second question is concerned: why would the image modified with the ElementTree objects have all of that extracurricular activity going on?" the answer is pretty simple - not every <path> element draws a county. Specifically, there are two...
Basic, annotated example below using built-in (ggplot) US map data. If you need the territories (which have more outbreaks it seems) you'll need to look at the other SO examples that show that (of which there are many). library(xml2) library(dplyr) library(ggplot2) # read in the XML file flu <- read_xml("flu.xml")...
Your code lacks a style definition. For a graduated style you have to create a style object using styleGrad. The prop parameter in styleGrad specifies the property you want to visualize. library("maptools") library("sp") library("leafletR") SP <- readShapePoly(system.file("shapes/sids.shp", package="maptools")[1], proj4string=CRS("+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0")) SP4leaflet <- toGeoJSON(data=SP, dest=tempdir(), name="BIR79") SPleaflet <-...
d3.js,geojson,dc.js,choropleth
There is something wrong in the dataset.
I think that there are two things here. By default, all NA values in choroplethr are rendered as black: a <- c(NA, NA, NA,6.4,1.4,1.8,3.8,1.3,2.3,8.4, 5.2,1.9,0.8,1.5,2.1,1.2,3.8,1.4,3.1,0.8, 4.0, 1.3,4.8,2.6,2.8,2.3,3.1,2.5) ... Note that you can override the scale by this: gg + scale_fill_continuous(low="#eff3ff", high="#084594", na.value="yellow") You said that you wanted the NA values...
You appear to want a choropleth, which is a map where the countries (in this case) are colored by a scale that indicates something. So, if your scale were percentage of literate adults in each country, you would have that percentage in a variable and the choropleth will apply the...
javascript,svg,d3.js,choropleth
Simply remove the clip-path attribute of the <g>element
I learned this answer elsewhere: I had to type install.packages("gpclib", type="source") and it worked just fine. ...
You should probably make this two questions. You can augment the output of the choropleth pkg with other ggplot layers/aesthetics. To "zoom in" and use close to a proper projection you can do: library(ggplot2) gg <- country_choropleth(datas,legend="%",num_colors=1,zoom=target) gg <- gg + xlim(-31.266001, 39.869301) gg <- gg + ylim(27.636311, 81.008797) gg...