[R-sig-Geo] spplot: labels on maps / variables on different scales

[Michael Friendly]

Two short questions about working with maps:

1.  I'm reading a shapefile with character labels for the regions 
(FSA).  I can add the labels using plot(),
but when I try the same thing using spplot(), the labels are in the 
wrong positions -- they all seem to be
shrunk somewhat in toward the center of the map.  What am I doing wrong?

library(maptools)
# using readShapeSpatial
ontario <-readShapeSpatial("ForwardSortationAreas_JUL07_ON_region.shp", 
IDvar="FSA", proj4string=CRS("+proj=longlat +datum=NAD83") )
toronto <- ontario[ontario$F=="M",]
summary(toronto)
# this works OK
plot(toronto)
text(coordinates(toronto), labels=as.character(toronto$FSA), cex=0.4)

# this doesn't work-- labels in wrong position
spplot(toronto,"FSA_NAME", colorkey=FALSE)
text(coordinates(toronto), labels=as.character(toronto$FSA), cex=0.4)

2. I have a bunch of attribute variables for the geographic regions, all 
on different scales.  Id like to
produce a set of comparative maps in the same figure (say with spplot()) 
with each attribute shaded
by its quantiles, e.g., 5 classes each.  Do I have to precompute these 
first, or is there something I can do in the call
to spplot() to have this done, using the variables in the 
SpatialPolygonsDataFrame?

 > toronto <- spCbind(toronto, crimeTO)
 > summary(toronto)
Object of class SpatialPolygonsDataFrame
Coordinates:
         min       max
r1 -79.63925 -79.11484
r2  43.58103  43.85547
Is projected: FALSE
proj4string : [+proj=longlat +datum=NAD83]
Data attributes:
      FSA            FSA_NAME  F        PR               Area      
Jail.Cost           Rank     
 M1B    : 1   TORONTO    :48   K:  0   35:102   Toronto    :39   Min.   
:     0   Min.   :  6.0 
 M1C    : 1   NORTH YORK :22   L:  0            North York :24   1st 
Qu.:  3205   1st Qu.:126.8 
 M1E    : 1   SCARBOROUGH:17   M:102            Scarborough:17   Median 
: 42249   Median :296.5 
 M1G    : 1   ETOBICOKE  :12   N:  0            Etobicoke  :12   Mean   
: 84991   Mean   :259.7 
 M1H    : 1   EAST YORK  : 3   P:  0            East York  : 5   3rd 
Qu.:139404   3rd Qu.:406.0 
 M1J    : 1   ACTON      : 0                    York       : 5   Max.   
:506339   Max.   :413.0 
 (Other):96   (Other)    : 0                    (Other)    : 
0                                  
    Inmates       Inmates.per.10K Days.Sentenced     Population    
Household.Income
 Min.   : 0.000   Min.   :0.000   Min.   :   0.0   Min.   :    0   
Min.   : 35129 
 1st Qu.: 1.000   1st Qu.:0.325   1st Qu.:  30.0   1st Qu.:15857   1st 
Qu.: 48438 
 Median : 3.000   Median :1.000   Median : 395.5   Median :23564   
Median : 58015 
 Mean   : 3.559   Mean   :1.180   Mean   : 795.6   Mean   :25161   
Mean   : 62123 
 3rd Qu.: 5.000   3rd Qu.:1.800   3rd Qu.:1305.0   3rd Qu.:34878   3rd 
Qu.: 66259 
 Max.   :15.000   Max.   :4.300   Max.   :4740.0   Max.   :66878   
Max.   :127669 
                                                                   
NA's   :     5 
   Low.Income      Unemployed      University     Female.Homes   
Public.Housing
 Min.   : 6.00   Min.   :2.000   Min.   : 8.00   Min.   : 8.00   Min.   
:   2 
 1st Qu.:15.00   1st Qu.:4.000   1st Qu.:20.00   1st Qu.:13.00   1st 
Qu.: 234 
 Median :20.00   Median :5.000   Median :28.00   Median :16.00   Median 
: 685 
 Mean   :20.05   Mean   :5.412   Mean   :31.31   Mean   :16.16   Mean   
: 995 
 3rd Qu.:25.00   3rd Qu.:7.000   3rd Qu.:45.00   3rd Qu.:19.00   3rd 
Qu.:1276 
 Max.   :41.00   Max.   :9.000   Max.   :64.00   Max.   :30.00   Max.   
:9289 
 NA's   : 5.00   NA's   :5.000   NA's   : 5.00   NA's   : 5.00   NA's   
:  27 
 >

-- 
Michael Friendly     Email: friendly AT yorku DOT ca 
Professor, Psychology Dept.
York University      Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street    http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT  M3J 1P3 CANADA