similar to: Methods for showing statistics over space

I am a very new user of R (ver 2.2.1 & Windows XP) I would like to see if I can plot some simple data (Number of people in certain regions of Canada and within Ontario and Quebec. Can anyone suggest a) a souce of Canadian maps and b) some simple worked examples of using maps. At the moment I have managed to load the map and mapdata libraries but that is about the extend of my knowledge.

Hi: I am doing some work that involves plotting points of interest superimposed on photographs and maps. I can produce the plots fine in R, but so far I have had to do the superimposition externally, which makes it tedious to do exploratory work. I have looked to see if there is some capability to put a background picture on a plot window, but I have not found anything. Advice, anyone? Cheers

Hi R Gurus! There was a function in S called "usa()" which would plot the US. I found map('usa') in R for the lower 48 states. Is there a way to include Alaska and Hawaii as well, please? Thanks, Edna Bell

Hi folks, I'm just learning how to use maps. As an initial foray, I'm mapping the states that have "duty to retreat" (blue) and "stand your ground" (red) self-defense standards. Here is my extremely naive script: dtr <- c('alabama', 'arizona', 'conneticut', 'delaware', 'dist of columbia' , 'hawaii',

hi, i have 2 tables (counties and towns). counties has_many towns and towns belong_to counties. now my question: i thought i would need to do is say @counties = Counties.find(:all). should that not return to me all counties in the counties table WITH all towns associated with each county? in my view i was getting error when doing this if(counties.has_towns?) saying undefined has_towns

Dear All: I tried to replicate a case study described by Prof. Harrell in Chapter 7 of his Regression Modeling Strategies book, but failed on using anova.Design to reproduce his table 7.1, Following is the code: rm(list=ls()) library(Hmisc) library(Design) getHdata(counties) counties$older <- counties$age6574 + counties$age75 label(counties$older) <- '% age >= 65, 1990'

Dear R-users: I am trying to use the following code to reproduce the figures on page 140 of Prof. Frank Harrell's book 'Regression Modeling Strategies': rm(list=ls()) options(width=128) library(Hmisc) library(Design) getHdata(counties) counties$older <- counties$age6574 + counties$age75 label(counties$older) <- '% age >= 65, 1990' counties$pdensity <-

Dear R-users, I am using R 2.13.0 and rms 3.3-0 , but can not reproduce figure 7.8 of the handouts *Regression Modeling Strategies* ( http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/course2.pdf) by the following code. Could any one help me figure out how to solve this? setwd('C:/Rharrell') require(rms) load('data/counties.sav') older <- counties$age6574 + counties$age75

Dear Rers, is there a way to color counties on a full US map based on a criterion one establishes (i.e., all counties I assign the same number should be the same color)? I explored a bit and looks like the package "maps" might be of help. library(maps) One could get a map of the US: map('usa') One could get countries within a US state: map('county', 'iowa', fill

I am using R-1.9.1 with windows 2000 and trying to build a package. However, when I issue the command: RCMD build --binary BSDA I get: >>> Building/Updating help pages for package 'BSDA' Formats: chm hhc: not found cp: cannot stat `C:/R191/R191/JUNK/BSDA/chm/BSDA.chm': No such file or direc tory make[1]: *** [chm-BSDA] Error 1 make: *** [pkg-BSDA] Error 2 ***

Quick question. Say I have a geographical database with counties and zip codes where counties have and belong to many zip codes. zip_codes (id, zip_code) counties (id, name) When I create the association table, the Rails way says to do the following: counties_zip_codes (county_id, zip_code_id). However, given that zip_codes.zip_code is itself a candidate key, I would much prefer to do the

I am using "maps". I am running the following code to get this list of all the counties: map('county', plot=FALSE)$names In the output, all counties have first the state listed and then, after a comma, the name of the county. However, county # 2395 (State = south dakota) has no county name. Anyone knows what this county is? Thank you! -- Dimitri Liakhovitski

Dear R'ers, I am wondering what is the smallest geographicterritorial unit available for formatting in Canada. Provinces? I know that in the US it is the county so that I can color US counties any way I want, for example: ### Example for coloring US counties ### Creating an ARTIFICIAL criterion for coloring US counties: library(maps) allcounties<-data.frame(county=map('county',

Is there an R equivalent to SAS's proc gremove? You would use this procedure to combine the units on an existing map, for example to build a map of Metropolitan Statistical Areas (MSAs) from the [US] counties dataset where the internal boundries surround the MSAs (which are groups of counties) rather than the individual counties. I can imagine the mechanism would be to find and erase the

I'm trying to create a fairly basic map using R. What i want to get is the map of the country with circles representing a count of students in each state. What I've done so far is as following - map("state") symbols(data1$count,circles=log(data1$count)*3,fg=col,bg=col,add=T,inches=F) this gives me the map of the country, but one that's not populated by my counts. Does

Hi, Four tables: users, user_counties, uk_counties and us_counties. Each user has many counties, and each county has many users, so I decided to make user_counties a polymorph, so it can have counties from different countries (each country requires a completely different set of tables with a completely different set of properties, that''s why there''s one table for uk_counties and

I'm trying to create a colored map that would show the number of students per state. My data frame consists of two columns - state and count. I'm using the following code library(maps) map("usa") library(plotrix) state.col<-color.scale(gre$count,0,0,c(0,1)) map("state",fill=TRUE,col=state.col) I'm getting a map, but the values are not being mapped to correct

Hi, I would like to make a plot of the US states (or lower 48) that are colored based upon a percentage change column. Ideally, it would gradually be more blue the larger the positive change, and more red the more negative is the change. The data I have looks like: State Percent.Change 1 Alabama 0.004040547 2 Alaska -0.000202211 3 Arizona -0.002524567 4 Arkansas

Hi, I would like to plot a map of US counties using different colors. map() seems to be the function to use, e.g. library(maps); map('usa'); map('county', 'colorado', add=T,fill = T, col=c(1:5)) plots Colorado counties using colours 1 to 5. However, I want each color to represent a certain value - a value to be picked from a data frame. This code should show a

Hi, Can anyone help me with either of these: 1) Map of the UK counties that I could use in R? 2) How could I use an existing map for example, a map from here http://www.itraveluk.co.uk/maps/england.html - in R. I need to use a UK map to plot locations on it by lat & long. Would appreciate help on any of these. Thanks, Raoul -- View this message in context: