Description Usage Arguments Value See Also Examples
Export to GoogleMaps R spatial data information
1 2 3 4 5 6 7 8 | spGplot(data, var = NULL, maptype = "satellite", description = list(var =
NULL, type = NULL, title = NULL), decimals = 3, col.pallete = list(col =
heat.colors(if (length(cuts) == 1) cuts else length(cuts)), alpha = 1),
legend.att = list(title = NULL, ncol = 1, bg = "#FFFFFF"), cuts = 5,
cuts.type = "range", lwd = 1.5, sizeBall = c(0.5, 1), savekml = NULL,
map.name = "kml", map.description = "description", google.maps = TRUE,
google.earth.path = try(system("which google-earth", ignore.stdout = T,
ignore.stderr = T), silent = T), ...)
|
data |
a spatial data from any sp classes. |
var |
an attribute name in the spatial data. |
maptype |
GoogleMaps types: 'satellite', 'terrain', 'roadmap', 'satellite', 'hybrid'. |
description |
a |
decimals |
number of decimals in the legend. |
col.pallete |
a list containing the pallete of colors to be used (col) and the transparency level (alpha) . |
legend.att |
a list containing the attributes for legend. See |
cuts |
number of cuts in the legend. Can also be a vector with the cuts point. |
cuts.type |
method of selecting the cuts points. Ignored if cuts = vector . |
lwd |
the line width for SpatialLines/SpatialLinesDataframe class. |
sizeBall |
numeric vector of the length 2 providing the min and max of the balls. |
savekml |
the name of the output KML. If name is not defined the function will create the file in directory temporary. Default is NULL. |
map.name |
the name of the KML. |
map.description |
the description of th KML. |
google.maps |
boolean. Default TRUE. Define if the data should be exported to GoogleMaps. |
google.earth.path |
if google.maps = FALSE then GoogleEarth path must be provided |
... |
further arguments passed to or from other methods. |
A plot window on the browser.
See spRplot
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | ## Not run:
library(RColorBrewer)
library(spGoogle)
data(rio)
brks <- hist(rio$Dengue, plot = FALSE)$breaks
n_cuts <- length(brks)
pallete <- brewer.pal(n_cuts-1, 'Blues')
names(rio@data)
spGplot(rio, var = "Dengue", cuts = brks,
col.pallete = list(col = pallete, alpha = 0.8),
description = list(title = 'Name', type = 'table', var = c('Income','Urban')),
maptype = 'roadmap')
spGplot(rio, var = "Dengue", cuts = brks,
col.pallete = list(col = pallete, alpha = 0.8),
description = list(title = 'Name', type = 'bar', var = c('Income','Urban')),
maptype = 'roadmap')
spGplot(rio, var = "Dengue", cuts = brks,
col.pallete = list(col = pallete, alpha = 0.8),
description = list(title = 'Name', type = 'pie', var = c('Income','Urban')),
maptype = 'roadmap')
#custom legend
spGplot(rio, var = "Dengue", cuts = brks,
col.pallete = list(col = pallete, alpha = 0.8),
description = list(title = 'Name', type = 'pie', var = c('Income','Urban')),
legend.att = list(title = 'Dengue', bg = 'red', cex = 0.8, ncol = 2)
maptype = 'roadmap')
## End(Not run)
|
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