Good morning Don, I cannot thank you enough for your support and the trouble you went to. I am novice useR and the only analyst in the shop asked to learn R and the demands are growing faster than my knowledge intake, lots of laughs!
Best regards WHP From: MacQueen, Don <macque...@llnl.gov> Sent: Thursday, September 13, 2018 4:41 PM To: Bill Poling <bill.pol...@zelis.com>; r-sig-...@r-project.org Subject: Re: [R-sig-Geo] Help with simple Map of US states with predefined regions Version 2 I know this is not a complete solution -- and it's a very different approach -- but it should at least show you a way to reliably get states colored by region. (I also left out Alaska and Hawaii, since the point here is how to color the regions) require(sp) require(rgdal) ## US Census Bureau Tiger file -- polygons of each US State ## try this URL for download ## https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2017&layergroup=States+%28and+equivalent%29<https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2017&layergroup=States+%28and+equivalent%29> ## unzip to working directory ( '.' ) ustf <- readOGR('.', 'tl_2017_us_state', stringsAsFactors=FALSE) ## note, the Tiger file includes 6 additional territories dim(ustf) ## [1] 56 14 ## get rid of the extra six territories (state.name<http://state.name> comes with R) cus <- subset(ustf, NAME %in% state.name<http://state.name>) ## cheap rename cus$state <- cus$NAME cus$abb <- cus$STUSPS ## invent ridiculous groupings of states cus$grp <- 'a' cus$grp[11:20] <- 'b' cus$grp[21:30] <- 'c' cus$grp[31:40] <- 'd' cus$grp[41:50] <- 'e' ## assign colors to the groups cus$color <- 'red' cus$color[cus$grp=='b'] <- 'green' cus$color[cus$grp=='c'] <- 'blue' cus$color[cus$grp=='d'] <- 'brown' cus$color[cus$grp=='e'] <- 'cyan' ## exclude Alaska, Hawaii cus <- subset(cus, !(state %in% c('Alaska','Hawaii'))) ## get rid of extraneous variables (optional) cus <- cus[ , c('state','REGION','abb', 'grp') ] ## plot colored by regions as defined in the Census Bureau Tiger file plot(cus, col=cus$REGION, usePolypath=FALSE) ## color "1" is black, looks bad, do this instead plot(cus, col=as.numeric(cus$REGION)+1, usePolypath=FALSE) text(coordinates(cus), cus$abb, col='white', cex=0.75) ## colors specified by a color variable in the data plot(cus, col=cus$color, usePolypath=FALSE) text(coordinates(cus), cus$abb, col='white', cex=0.75) (my preferred graphics device does not support Polypath, but probably most others do, so one can omit usePolypath=FALSE) -Don -- Don MacQueen Lawrence Livermore National Laboratory 7000 East Ave., L-627 Livermore, CA 94550 925-423-1062 Lab cell 925-724-7509 On 9/13/18, 5:17 AM, "R-sig-Geo on behalf of Bill Poling" <r-sig-geo-boun...@r-project.org on behalf of bill.pol...@zelis.com<mailto:r-sig-geo-boun...@r-project.org%20on%20behalf%20of%20bill.pol...@zelis.com>> wrote: Hi, I hope someone can help me finalize this please. I am coming close to what I need using variations from two ggplot2 tutorials. This first gives me the map of the US with AK & HI but I cannot figure out how to get my 5 regions colored #https://stackoverflow.com/questions/38021188/how-to-draw-u-s-state-map-with-hi-and-ak-with-state-abbreviations-centered-us?rq=1<https://stackoverflow.com/questions/38021188/how-to-draw-u-s-state-map-with-hi-and-ak-with-state-abbreviations-centered-us?rq=1> library(ggplot2) install.packages("ggalt") library(ggalt) # coord_proj library(albersusa) # devtools::install_github("hrbrmstr/albersusa") install.packages("ggthemes") library(ggthemes) # theme_map install.packages("rgeos") library(rgeos) # centroids library(dplyr) # composite map with AK & HI usa_map <- usa_composite() # calculate the centroids for each state gCentroid(usa_map, byid=TRUE) %>% as.data.frame() %>% mutate(state=usa_map@data$iso_3166_2) -> centroids # make it usable in ggplot2 usa_map <- fortify(usa_map) View(usa_map) t1 <- head(usa_map,n=5) knitr::kable(t1, row.names=FALSE, align=c("l", "l", "r", "r", "r")) # # |long |lat | group| order| region|subregion | # |:---------|:--------|-----:|-----:|-------:|:---------| # |-87.46201 |30.38968 | 1| 1| alabama|NA | # |-87.48493 |30.37249 | 1| 2| alabama|NA | # |-87.52503 |30.37249 | 1| 3| alabama|NA | # |-87.53076 |30.33239 | 1| 4| alabama|NA | # |-87.57087 |30.32665 | 1| 5| alabama|NA | usa_map <- fortify(usa_map) gg <- ggplot() gg <- gg + geom_map(data=usa_map, map=usa_map, aes(long, lat, map_id=id), color="#2b2b2b", size=0.1, fill=NA) gg <- gg + geom_text(data=centroids, aes(x, y, label=state), size=2) gg <- gg + coord_proj(us_laea_proj) gg <- gg + theme_map() gg #************************************************************************************************************************************************************************************/ This second is an alternative (however not liking AK&HI, not coming into the map like scenario one above) but also ignoring new Mexico (because recognizing a seventh field value) and I suspect it will do the same for new York and new jersey etc.. when I add them to the list. Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : line 12 did not have 6 elements When I use newmexico (all one word) it appears white in the map like the other states not in the table statement #https://stackoverflow.com/questions/38777732/r-code-to-generating-map-of-us-states-with-specific-colors<https://stackoverflow.com/questions/38777732/r-code-to-generating-map-of-us-states-with-specific-colors> library(ggplot2) read.table(text="State.Code region St_Abbr Num_Estab colors 1 1 alaska Ak 13123 #f7931e 3 1 arizona AZ 18053 #f7931e 5 1 california CA 143937 #f7931e 2 1 hawaii HI 123456 #f7931e 4 1 nevada NV 654321 #f7931e 6 1 oregon OR 321456 #f7931e 7 1 washington WA 456123 #f7931e 8 2 colorado CO 987654 #787878 9 2 idaho ID 13549 #787878 10 2 kansas KS 94531 #787878 11 2 montana MT 456321 #787878 12 2 new mexico NM 582310 #787878 <---Not liking new mexico, saying not 6 13 2 oklahoma OK 214567 #787878 14 2 texas TX 675421 #787878 15 2 utah UT 754321 #787878 16 2 wyoming WY 543124 #787878 ", stringsAsFactors=FALSE, header=TRUE, comment.char="") -> df usa_map1 <- map_data("state") t1 <- head(usa_map1,n=5) knitr::kable(t1, row.names=FALSE, align=c("l", "l", "r", "r", "r")) View(usa_map1) # # |long |lat | group| order| region|subregion | # |:---------|:--------|-----:|-----:|-------:|:---------| # |-87.46201 |30.38968 | 1| 1| alabama|NA | # |-87.48493 |30.37249 | 1| 2| alabama|NA | # |-87.52503 |30.37249 | 1| 3| alabama|NA | # |-87.53076 |30.33239 | 1| 4| alabama|NA | # |-87.57087 |30.32665 | 1| 5| alabama|NA | gg <- ggplot() #View(gg) gg <- gg + geom_map(data=usa_map1, map=usa_map1, aes(long, lat, map_id=region), color="#2b2b2b", size=0.15, fill=NA) gg <- gg + geom_map(data=df, map=usa_map1, aes(fill=colors, map_id=region), color="#2b2b2b", size=0.15) gg <- gg + geom_text(data=centroids, aes(x, y, label=state), size=2) gg <- gg + coord_proj(us_laea_proj) gg <- gg + theme_map() gg gg <- gg + scale_color_identity() gg <- gg + coord_map("polyconic") gg <- gg + ggthemes::theme_map() gg #c( "colorado", "idaho", "kansas", "montana", "new mexico", "oklahoma","texas", "utah", "wyoming") ) #c("alaska", "arizona", "california", "hawaii", "nevada", "oregon","washington")) William H. Poling, Ph.D., MPH Confidentiality Notice This message is sent from Zelis. ...{{dropped:13}} _______________________________________________ R-sig-Geo mailing list r-sig-...@r-project.org<mailto:r-sig-...@r-project.org> https://stat.ethz.ch/mailman/listinfo/r-sig-geo<https://stat.ethz.ch/mailman/listinfo/r-sig-geo> Confidentiality Notice This message is sent from Zelis. This transmission may contain information which is privileged and confidential and is intended for the personal and confidential use of the named recipient only. Such information may be protected by applicable State and Federal laws from this disclosure or unauthorized use. If the reader of this message is not the intended recipient, or the employee or agent responsible for delivering the message to the intended recipient, you are hereby notified that any disclosure, review, discussion, copying, or taking any action in reliance on the contents of this transmission is strictly prohibited. If you have received this transmission in error, please contact the sender immediately. Zelis, 2018. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
