choropleth

问题 I'm trying to do a choropleth using folium which offers a great link between GeoJSON, Pandas and leaflet. GeoJSON format is like below : { "type":"FeatureCollection", "features":[ { "type":"Feature", "geometry": { "type":"Polygon", "coordinates":[[[-1.6704591323124895,49.62681486270549], ..... { "insee":"50173", "nom":"Équeurdreville-Hainneville", "wikipedia":"fr:Équeurdreville-Hainneville", "surf_m2":12940306}}, Pandas DataFrame : postal_count.head(5) Out[98]: Code_commune_INSEE CP_count 0

问题 When creating a choropleth map using the plotly package in R, is there any way to specify the bin size? Example: library(plotly) df <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv") plot_ly(df, z=total.exports, locations=code, type="choropleth", locationmode="USA-states", colors = 'Purples', filename="", colorbar=list(title = "2011 US Agriculture Exports by State")) %>% layout(geo = list(scope="usa")) Currently, the above code auto-bins into 2k

问题 I am having issues with Choropleth Map using D3. I want to show occurrences of disaster to the World Map for the given year, say 2015. I have a dropdown to change disaster type. I am currently working with "Earthquake". Before selecting "Earthquake" from dropdown: After Selecting "Earthquake", it is changing colors, but somehow not changing as per the value. Below is the output: Below is my code to generate map, It is not showing any error as well. // Load Data d3.csv("disaster_data.csv",

问题 I'm struggling to customize and find the right code to structure the choropleth map that I am attempting to make of profit of a business by county in a specific state. What I have done so far is be able to plot my code, albeit with a color palette that I don't want and breaks that are undesirable as well. library(choroplethr) library(ggplot2) county <- data.frame(region = c(19001,19013,19017,19019,19021,19023,19033,19035), value=c(-37102,-41052,35016,-13180,-8062,6357,-46946,-5380)) county

问题 I am trying to format a Choropleth Map of the United States to a specific color and unfortunately, when using scale_fill_brewer to change the color; only 48 of the states do (Hawaii and Alaska do not). Is it possible to know if I can implement the coloring to Hawaii and Alaska as well? library(choroplethr) library(choroplethrMaps) library(ggplot2) data(df_pop_county) county_choropleth(df_pop_county, title = "Title1", legend = "Top 20% of Index", num_colors = 9) + geom_polygon(aes(fill=value),

问题 I'm trying to replicate the maps shown in this short example (Choroplethr v3.6.0 is now on CRAN) for California, but I'm having trouble with the tract_choropleth function for areas that are not in NY. I get the error message below. I'm able to import the underlying tract data for all areas, but I'm having trouble mapping the non-NY ones. Thanks in advance. # Load all packages (DONE) # Install api key (DONE) # Get Tract-Level Demographics ca_stats = get_tract_demographics("california") #

问题 I am trying to plot specific colors for specific countries using R maps library. I can fill in the colors but they are not correctly associated with their respective countries. I wonder if someone could have a clue why? My data frame is «filld» and has 3 columns: the first is the countries names, the second is just some numeric data, and the 3rd is the color: countries toplot color 1 Argentina -1 red 2 Armenia -1 red 3 Australia -1 red 4 Bahrain -1 red 5 Botswana -1 red 6 Belgium -1 red 7

问题 Created a choropleth using ggplot2. Here's the ggplot code okc <- ggplot() + geom_polygon(data = mapdata, aes(x = long, y = lat, group = group, fill = B19013_001), color = "black", size = 0.5)+ scale_fill_distiller(palette = "Reds", labels = comma, breaks = pretty_breaks(n = 10), values = c(1,0)) + guides(fill = guide_legend(reverse = TRUE)) + theme_nothing(legend = TRUE) + ggtitle('Map of 40109') Here's a sample of the data from mapdata: long lat order hole piece group id 1 -97.54285 35

问题 I was attempting to generate a choropleth map by modifying an SVG map depicting all counties in the US. The basic approach is captured by Flowing Data. Since SVG is basically just XML, the approach leverages the BeautifulSoup parser. The thing is, the parser does not capture all path elements in the SVG file. The following captured only 149 paths (out of over 3000): #Open SVG file svg=open(shp_dir+'USA_Counties_with_FIPS_and_names.svg','r').read() #Parse SVG soup = BeautifulSoup(svg,

问题 An extension of this thread: Create choropleth map from coordinate points. (I didn't want to combine the two threads for the sake of being relevant to as many people as possible.) I have a data frame consisting of many observations, each with geocoordinates (latitude-longitude) and a boolean (yes-no) value. I would like to generate a choropleth map of the world where each region/polygon is shaded by the percentage of points within it where the associated boolean value is equal to true. Here