joinData2Map | R Documentation |
Joins user polygon attribute data to a map of polygon boundaries. The map
can either be one stored in the package or provided by the user. Returns a
spatialPolygonsDataFrame ready for plotting using mapPolys
.
Reports join successes and failures.
joinData2Map(
dF = "",
nameMap = "",
nameJoinIDMap = "ISO3",
nameJoinColumnData = "ISO3V10",
nameNameColumnData = "Country",
suggestForFailedCodes = FALSE,
projection = NA,
mapResolution = "coarse",
verbose = FALSE
)
dF |
R data frame with at least one column of polygon IDs and one column of data |
nameMap |
the map to join the attribute data too |
nameJoinIDMap |
the name of the joinIDs in the map |
nameJoinColumnData |
name of column in the data containing country referencing |
nameNameColumnData |
optional name of column in the data containing polygon names (used in reporting of success/failure) |
suggestForFailedCodes |
NOT YET ENABLED T/F whether you want system to suggest for failed codes |
projection |
DEPRECATED JUNE 2012 |
mapResolution |
resolution of the borders in the internal map: options 'coarse','low', 'less islands' |
verbose |
if set to FALSE progress messages to console are restricted |
Joins user polygon attribute data provided in a 'data frame' to a map of
polygon boundaries. The map can either be one stored in the package or
provided by the user. Returns a spatialPolygonsDataFrame ready for plotting
using mapPolys
. Reports join successes and failures.
The user specifies the name of the column in their data containing polygon referencing.
The user can choose from different internal map resolutions. Uses the
function getMap
to retrieve the map.
An R 'SpatialPolygonsDataFrame' [package "sp"] object with the data joined to it
andy south
mapPolys
, getMap
## this example uses downloaded files
## to run it download the files
## and remove the comment symbols '#' from all the lines starting with a single '#'
## US states map downloaded from :
## http://www2.census.gov/cgi-bin/shapefiles2009/national-files
#inFile <- 'tl_2009_us_stateec.shp'
#sPDF <- readShapePoly(inFile)
##################
## use mapPolys to map the sPDF
#mapPolys(sPDF,nameColumnToPlot = "ALANDEC")
#mapPolys(sPDF,nameColumnToPlot = "AWATEREC",mapRegion='North America')
##################
## join some other data to it
## education data downloaded from here as xls then saved as csv
## http://nces.ed.gov/ccd/drpcompstatelvl.asp
#dataFile <- 'SDR071A_xls.csv'
#dF <- read.csv(dataFile,as.is=TRUE)
#str(dF)
## STATENAME
## DRP912 Dropout Rate, Grades 9 through 12
## joining the data to the map
## based upon state names (column NAMEEC in map, and STATENAME in the data)
#sPDF2 <- joinData2Map(dF
# , nameMap = sPDF
# , nameJoinIDMap = "NAMEEC"
# , nameJoinColumnData = "STATENAME")
#################
## plot one of the attribute variables
#mapDevice()# to set nice shape map window
#mapPolys(sPDF2,nameColumnToPlot = "DRP912",mapRegion='North America')
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