Difference between revisions of "Opasnet map"

library(rgdal)
library(maptools)
library(RColorBrewer)
library(classInt)
library(OpasnetUtils)
library(OpasnetUtilsExt)

objects.latest("Op_en6007", code_name = "answer") # [[OpasnetUtils/Drafts]]; we need MyPointsKML and ova2spat.

shp<-readOGR('PG:host=localhost user=postgres dbname=spatial_db','kuopio_house')

shp <- shp[1:100 , ] # Save only 100 buildings for demonstration

plotvar	<- shp@data$ika
nclr	<- 8
plotclr	<- brewer.pal(nclr,"BuPu")
class	<- classIntervals(plotvar,nclr,style="quantile")
colcode	<- findColours(class,plotclr)

epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs")
proj4string(shp)<-("+init=epsg:3067")
shp2	<- spTransform(shp, epsg4326String)

kmlname	<- "Kuopio house data"
kmldescription <- "Random stuff about here"
icon	<- "http://maps.google.com/mapfiles/kml/pal2/icon18.png"
name	<- paste("ika value: ", shp2$ika)
description <- paste("<b>Value:</b>",shp2$ika,"<br><b>Description:</b>",shp2$kayttotark)

dat <- MyPointKML(shp2, kmlname, kmldescription, name, description, icon, colcode)

google.show_kml_data_on_maps(dat)

library(OpasnetUtils)
library(OpasnetUtilsExt)
library(sorvi)
library(rgdal)

data(MML)

shp <- MML[["1_milj_Shape_etrs_shape"]][["kunta1_p"]]

#epsg3857String <- CRS("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +a=6378137 +b=6378137 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs")
epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs")
proj4string(shp)<-("+init=epsg:3047")
shp2<-spTransform(shp,epsg4326String)

out<-sapply(slot(shp2,"polygons"),function(x
	{kmlPolygon(
		x,
		name="nimi",
		col='#df0000aa',
		lwd=1,
		border='black',
		description="selite"
	)}
)

data <- paste(
	paste(
		kmlPolygon(
			kmlname =" This will be layer name", 
			kmldescription = "<i>More info about layer here</i>"
		)$header, 
		collapse="\n"
	),
	paste(unlist(out["style",]), collapse="\n"),
	paste(unlist(out["content",]), collapse="\n"),
	paste(kmlPolygon()$footer, collapse="\n"),
	sep=''
)

google.show_kml_data_on_maps(data)

library(rgdal)
library(maptools)
library(RColorBrewer)
library(classInt)
library(OpasnetUtils)
library(OpasnetUtilsExt)

shp	<- readOGR('PG:host=localhost user=postgres dbname=spatial_db','watson_wkt')

plotvar	<- shp@data$value_inhalation
nclr	<- 8
plotclr	<- brewer.pal(nclr,"BuPu")
class	<- classIntervals(plotvar,nclr,style="quantile")
colcode	<- findColours(class,plotclr)
epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs")
proj4string(shp)<-("+init=epsg:3035")
shp2	<- spTransform(shp,epsg4326String)


out<-sapply(
	slot(shp2,"polygons"),
	function(x){
		kmlPolygon(
			x,
			name = as(shp2,"data.frame")[slot(x,"ID"),"country_code"], 
			col = colcode[[((as.numeric(slot(x,"ID"))+1))]],
			lwd = 1,
			border = 'black',
			description = paste("Value:",as(shp2,"data.frame")[slot(x,"ID"),"value_inhalation"])
		) 
	}
)

data <- paste(
	paste(
		kmlPolygon(
			kmlname = "This will be layer name", 
			kmldescription = "<i>More info about layer here</i>")$header, 
			collapse="\n"
		),
	paste(unlist(out["style",]), collapse="\n"),
	paste(unlist(out["content",]), collapse="\n"),
	paste(kmlPolygon()$footer, collapse="\n"),
	sep=''
)

cat("PostgreSQL test with coloured data areas.\n")

google.show_kml_data_on_maps(data)

cat("PostgreSQL Test with default data\n")

google.show_data_on_maps()

library(OpasnetUtils)
library(OpasnetUtilsExt)
google.show_kml_on_maps(url='http://api.flickr.com/services/feeds/geo/?g=322338@N20&lang=en-us&format=feed-georss')

library(OpasnetUtilsExt)

data = list()
data[[1]] = c(62.8925, 27.678333, 9683, '#ff0000', 'kuopio') 
data[[2]] = c(65.016667, 25.466667, 14398, '#00ff00', 'oulu') 
data[[3]] = c(60.170833, 24.9375, 59623, '#0000ff', 'helsinki') 

google.circles(data)

library(RgoogleMaps)
library(rgdal)
library(maptools)
library(RColorBrewer)
library(classInt)
library(OpasnetUtils)
library(OpasnetUtilsExt)

objects.latest("Op_en6007", code_name = "answer") # [[OpasnetUtils/Drafts]]. We need MyRmap.

shp	<- readOGR('PG:host=localhost user=postgres dbname=spatial_db','kuopio_house')
proj4string(shp) <- ("+init=epsg:3067") # The map projection of NLS Finland.

#oprint(shp@data[1:100 , ])

epsg4326String <- CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs")
shp2	<- spTransform(shp,epsg4326String) # Convert to longitude-latitude projection.

MyRmap(shp2, plotvar = "ika", legend_title = "Ikä", numbins = 8, pch = 19, cex = 0.3) # Draw the map.