spplot question in sp_0.9-98

2012/4/3 Edzer Pebesma <edzer.pebesma at uni-muenster.de>:
Thanks for notifying this. Removing the cex=.7 solves this, as does
replicating cex, as in

spplot(meuse, c("cadmium", "copper", "lead", "zinc"), do.log = TRUE,
key.space = "right", as.table = TRUE,
sp.layout=list(rv, scale, text1, text2, arrow),
main = "Heavy metals (top soil), ppm", cex=rep(.7,4*length(meuse)), cuts
= cuts)

This, and returning the color vector, are obviously bugs, and will be
addressed in the next version of sp.
Thanks for your answer Edzer.

Yesterday I could confirm that this issue is not present in sp_0.9-97

All the best,

Mauricio Zambrano-Bigiarini
===========================================
Water Resources Unit
Institute for Environment and Sustainability
Joint Research Centre, European Commission
webinfo    : http://floods.jrc.ec.europa.eu/
===========================================
DISCLAIMER:
"The views expressed are purely those of the writer
and may not in any circumstances be regarded as
stating an official position of the European Commission"
===========================================
Linux user #454569 -- Ubuntu user #17469
============================================
"There is only one pretty child in the world,
and every mother has it."
(Chinese Proverb)
============================================
http://c2.com/cgi/wiki?HowToAskQuestionsTheSmartWay

>
> On 04/03/2012 08:37 PM, Mauricio Zambrano-Bigiarini wrote:
>> Dear List,
>>
>> I just notice an strange behaviour of the 'spplot' function, and I
>> would like your help to figure out if it is something related to my
>> system or is something related to the 'spplot' function.
>>
>> Below goes a reproducible example taken from
>> http://r-spatial.sourceforge.net/gallery/ :
>>
>>
>> # fig06.R multi-panel plot, scales + north arrow only in last plot.
>>
>> ----------------------START-----------------------------------
>>
>> library(sp)
>> library(lattice) # required for trellis.par.set():
>> trellis.par.set(sp.theme()) # sets color ramp to bpy.colors()
>>
>> data(meuse)
>> coordinates(meuse)=~x+y
>> data(meuse.riv)
>> meuse.sr = SpatialPolygons(list(Polygons(list(Polygon(meuse.riv)),"meuse.riv")))
>> rv = list("sp.polygons", meuse.sr, fill = "lightblue")
>>
>> ## multi-panel plot, scales + north arrow only in last plot:
>> ## using the "which" argument in a layout component
>> ## (if which=4 was set as list component of sp.layout, the river
>> ## would as well be drawn only in that (last) panel)
>> scale = list("SpatialPolygonsRescale", layout.scale.bar(),
>> offset = c(180500,329800), scale = 500, fill=c("transparent","black"),
>> which = 4)
>> text1 = list("sp.text", c(180500,329900), "0", cex = .5, which = 4)
>> text2 = list("sp.text", c(181000,329900), "500 m", cex = .5, which = 4)
>> arrow = list("SpatialPolygonsRescale", layout.north.arrow(),
>> offset = c(181300,329800),
>> scale = 400, which = 4)
>> cuts = c(.2,.5,1,2,5,10,20,50,100,200,500,1000,2000)
>> spplot(meuse, c("cadmium", "copper", "lead", "zinc"), do.log = TRUE,
>> key.space = "right", as.table = TRUE,
>> sp.layout=list(rv, scale, text1, text2, arrow),
>> main = "Heavy metals (top soil), ppm", cex = .7, cuts = cuts)
>>
>> ----------------------END-----------------------------------
>>
>>
>> After the last spplot command, I only get one point in the upper left
>> figure, which is very different from the Figure 6 shown in
>> http://r-spatial.sourceforge.net/gallery/
>>
>> In addition, I get the following output after the spplot command:
>>
>> [1] "#A714EBFF" "#6500FFFF" "#6500FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF"
>> ? [7] "#2400FFFF" "#2400FFFF" "#2400FFFF" "#0000DAFF" "#0000DAFF" "#0000DAFF"
>> ?[13] "#A714EBFF" "#2400FFFF" "#0000DAFF" "#6500FFFF" "#6500FFFF" "#6500FFFF"
>> ?[19] "#6500FFFF" "#A714EBFF" "#6500FFFF" "#2400FFFF" "#2400FFFF" "#0000DAFF"
>> ?[25] "#0000DAFF" "#0000DAFF" "#0000DAFF" "#0000DAFF" "#0000DAFF" "#0000DAFF"
>> ?[31] "#0000DAFF" "#0000DAFF" "#2400FFFF" "#0000DAFF" "#0000DAFF" "#2400FFFF"
>> ?[37] "#6500FFFF" "#6500FFFF" "#6500FFFF" "#A714EBFF" "#2400FFFF" "#0000DAFF"
>> ?[43] "#0000DAFF" "#0000DAFF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#0000DAFF"
>> ?[49] "#0000DAFF" "#2400FFFF" "#0000DAFF" "#6500FFFF" "#A714EBFF" "#A714EBFF"
>> ?[55] "#6500FFFF" "#6500FFFF" "#2400FFFF" "#2400FFFF" "#A714EBFF" "#6500FFFF"
>> ?[61] "#6500FFFF" "#6500FFFF" "#6500FFFF" "#6500FFFF" "#6500FFFF" "#6500FFFF"
>> ?[67] "#6500FFFF" "#000086FF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF"
>> ?[73] "#2400FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF"
>> ?[79] "#6500FFFF" "#6500FFFF" "#A714EBFF" "#A714EBFF" "#6500FFFF" "#2400FFFF"
>> ?[85] "#0000DAFF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#0000DAFF"
>> ?[91] "#0000DAFF" "#2400FFFF" "#2400FFFF" "#000086FF" "#000086FF" "#000033FF"
>> ?[97] "#000086FF" "#000033FF" "#000033FF" "#000033FF" "#000086FF" "#000033FF"
>> [103] "#000033FF" "#000033FF" "#000033FF" "#000033FF" "#000033FF" "#000033FF"
>> [109] "#000033FF" "#000033FF" "#000033FF" "#000033FF" "#000033FF" "#000033FF"
>> [115] "#000033FF" "#000033FF" "#000033FF" "#2400FFFF" "#000033FF" "#000033FF"
>> [121] "#000033FF" "#000033FF" "#0000DAFF" "#2400FFFF" "#000033FF" "#000033FF"
>> [127] "#000033FF" "#000033FF" "#000033FF" "#0000DAFF" "#000086FF" "#0000DAFF"
>> [133] "#000033FF" "#000033FF" "#000086FF" "#000086FF" "#000086FF" "#0000DAFF"
>> [139] "#0000DAFF" "#0000DAFF" "#0000DAFF" "#000086FF" "#000086FF" "#2400FFFF"
>> [145] "#2400FFFF" "#2400FFFF" "#2400FFFF" "#2400FFFF" "#0000DAFF" "#0000DAFF"
>> [151] "#000086FF" "#2400FFFF" "#2400FFFF" "#000086FF" "#2400FFFF" "#FF6798FF"
>> [157] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#E83EC1FF" "#FF6798FF" "#E83EC1FF"
>> [163] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF"
>> [169] "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [175] "#FF6798FF" "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [181] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [187] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [193] "#FF6798FF" "#FF6798FF" "#FF916EFF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [199] "#E83EC1FF" "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [205] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#FF916EFF" "#FF916EFF" "#FF916EFF"
>> [211] "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [217] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [223] "#E83EC1FF" "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#E83EC1FF"
>> [229] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF"
>> [235] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#E83EC1FF" "#E83EC1FF"
>> [241] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [247] "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [253] "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [259] "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#A714EBFF" "#E83EC1FF" "#E83EC1FF"
>> [265] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [271] "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF"
>> [277] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#A714EBFF"
>> [283] "#A714EBFF" "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#E83EC1FF" "#A714EBFF"
>> [289] "#A714EBFF" "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#E83EC1FF" "#E83EC1FF"
>> [295] "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#A714EBFF" "#E83EC1FF" "#E83EC1FF"
>> [301] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#A714EBFF" "#A714EBFF"
>> [307] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#FFBB44FF" "#FFBB44FF"
>> [313] "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF"
>> [319] "#FF916EFF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FFBB44FF" "#FF916EFF"
>> [325] "#FF916EFF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF"
>> [331] "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [337] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [343] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF916EFF" "#FFBB44FF"
>> [349] "#FFBB44FF" "#FFBB44FF" "#FF916EFF" "#E83EC1FF" "#FF6798FF" "#FF6798FF"
>> [355] "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FF916EFF"
>> [361] "#FF6798FF" "#FF916EFF" "#FFBB44FF" "#FFE51AFF" "#FFBB44FF" "#FFBB44FF"
>> [367] "#FF916EFF" "#FFBB44FF" "#FFE51AFF" "#FFBB44FF" "#FFBB44FF" "#FF916EFF"
>> [373] "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#E83EC1FF"
>> [379] "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF"
>> [385] "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF"
>> [391] "#FFBB44FF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FF6798FF" "#FF916EFF"
>> [397] "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FFBB44FF"
>> [403] "#FFBB44FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [409] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#E83EC1FF" "#FF6798FF" "#E83EC1FF"
>> [415] "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#FF6798FF"
>> [421] "#FF6798FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [427] "#FF6798FF" "#FFBB44FF" "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF6798FF"
>> [433] "#FFBB44FF" "#FFBB44FF" "#FF6798FF" "#FF6798FF" "#E83EC1FF" "#E83EC1FF"
>> [439] "#FF916EFF" "#FF916EFF" "#E83EC1FF" "#FF6798FF" "#FF6798FF" "#E83EC1FF"
>> [445] "#E83EC1FF" "#E83EC1FF" "#E83EC1FF" "#FF6798FF" "#FF916EFF" "#FF6798FF"
>> [451] "#FF6798FF" "#FF6798FF" "#FF6798FF" "#FF916EFF" "#FF916EFF" "#FF916EFF"
>> [457] "#FF916EFF" "#FFBB44FF" "#FF6798FF" "#FF6798FF" "#E83EC1FF" "#FF916EFF"
>> [463] "#FF916EFF" "#FF6798FF" "#FF916EFF" "#FFFF60FF" "#FFFF60FF" "#FFE51AFF"
>> [469] "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF"
>> [475] "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFFF60FF" "#FFE51AFF" "#FFBB44FF"
>> [481] "#FFFF60FF" "#FFE51AFF" "#FFE51AFF" "#FFE51AFF" "#FFFF60FF" "#FFE51AFF"
>> [487] "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FFBB44FF"
>> [493] "#FF916EFF" "#FFBB44FF" "#FF916EFF" "#FFBB44FF" "#FF916EFF" "#FFBB44FF"
>> [499] "#FF916EFF" "#FFBB44FF" "#FFBB44FF" "#FFE51AFF" "#FFE51AFF" "#FFE51AFF"
>> [505] "#FFFF60FF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFE51AFF"
>> [511] "#FFE51AFF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF"
>> [517] "#FFE51AFF" "#FFFF60FF" "#FFFF60FF" "#FFFF60FF" "#FFE51AFF" "#FFBB44FF"
>> [523] "#FFE51AFF" "#FFFF60FF" "#FFFF60FF" "#FFE51AFF" "#FFE51AFF" "#FFE51AFF"
>> [529] "#FFE51AFF" "#FFE51AFF" "#FFE51AFF" "#FFFF60FF" "#FF916EFF" "#FFE51AFF"
>> [535] "#FFE51AFF" "#FFE51AFF" "#FFE51AFF" "#FFE51AFF" "#FFE51AFF" "#FFE51AFF"
>> [541] "#FFE51AFF" "#FFE51AFF" "#FFE51AFF" "#FFFF60FF" "#FFFF60FF" "#FFFF60FF"
>> [547] "#FFFF60FF" "#FFE51AFF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFE51AFF"
>> [553] "#FFE51AFF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FFE51AFF" "#FFE51AFF"
>> [559] "#FF916EFF" "#FFBB44FF" "#FF916EFF" "#FFBB44FF" "#FF916EFF" "#FF916EFF"
>> [565] "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FF916EFF" "#FF916EFF"
>> [571] "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF"
>> [577] "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF"
>> [583] "#FFE51AFF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFE51AFF"
>> [589] "#FFE51AFF" "#FFBB44FF" "#FF916EFF" "#FF916EFF" "#FF916EFF" "#FFBB44FF"
>> [595] "#FFBB44FF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF" "#FF916EFF" "#FF916EFF"
>> [601] "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF" "#FFBB44FF" "#FF916EFF"
>> [607] "#FF916EFF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF" "#FFE51AFF" "#FFE51AFF"
>> [613] "#FFE51AFF" "#FFBB44FF" "#FFBB44FF" "#FF916EFF" "#FFBB44FF" "#FFBB44FF"
>> [619] "#FF916EFF" "#FFBB44FF"
>>
>> -------------------
>>
>> sessionInfo()
>> R version 2.14.1 (2011-12-22)
>> Platform: x86_64-redhat-linux-gnu (64-bit)
>>
>> locale:
>> ?[1] LC_CTYPE=en_GB.utf8 ? ? ? LC_NUMERIC=C
>> ?[3] LC_TIME=en_GB.utf8 ? ? ? ?LC_COLLATE=en_GB.utf8
>> ?[5] LC_MONETARY=en_GB.utf8 ? ?LC_MESSAGES=en_GB.utf8
>> ?[7] LC_PAPER=C ? ? ? ? ? ? ? ?LC_NAME=C
>> ?[9] LC_ADDRESS=C ? ? ? ? ? ? ?LC_TELEPHONE=C
>> [11] LC_MEASUREMENT=en_GB.utf8 LC_IDENTIFICATION=C
>>
>> attached base packages:
>> [1] stats ? ? graphics ?grDevices utils ? ? datasets ?methods ? base
>>
>> other attached packages:
>> [1] lattice_0.20-6 sp_0.9-98
>>
>> loaded via a namespace (and not attached):
>> [1] grid_2.14.1 ?tools_2.14.1
>>
>> -----------
>>
>>
>> Thanks in advance for any help,
>>
>>
>> Mauricio Zambrano-Bigiarini
>>
>
> --
> Edzer Pebesma
> Institute for Geoinformatics (ifgi), University of M?nster
> Weseler Stra?e 253, 48151 M?nster, Germany. Phone: +49 251
> 8333081, Fax: +49 251 8339763 ?http://ifgi.uni-muenster.de
> http://www.52north.org/geostatistics ? ? ?e.pebesma at wwu.de
>
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo at r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo

spplot question in sp_0.9-98

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