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# Fig. 8.10.: xy-plot with time trend
library(StatDA) # need also this package: library(sgeostat) # need data: data(timetrend) pH=timetrend[,"pH"] EC=timetrend[,"EC"] ca=timetrend[,"Catch"] x=timetrend[,"YY"]+(timetrend[,"MM"]-1)/12+(timetrend[,"DD"]-1)/365 pdf("fig-8-10.pdf",width=9,height=4.5) par(mfrow=c(1,2),mar=c(4,4,2,2)) plot(x,pH,xlab="Month (1994)", ylab="pH", xaxt="n", type="n",cex.lab=1.2) axis(1,at=seq(1994,by=1/12,length=12), labels=c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"),las=3) points(x[ca==2],pH[ca==2],type="p",pch=1,lty=1,cex=0.8) points(x[ca==2],pH[ca==2],type="l",pch=1,lty=1,cex=0.8) points(x[ca==5],pH[ca==5],type="p",pch=8,lty=1,cex=0.8) points(x[ca==5],pH[ca==5],type="l",pch=8,lty=1,cex=0.8) points(x[ca==8][!is.na(pH[ca==8])],pH[ca==8][!is.na(pH[ca==8])],type="p",pch=7,lty=1,cex=0.8) points(x[ca==8][!is.na(pH[ca==8])],pH[ca==8][!is.na(pH[ca==8])],type="l",pch=7,lty=1,cex=0.8) legend("bottomleft",legend=c("C2","C5","C8"),pch=c(1,8,7)) plot(x,EC,xlab="Month (1994)", ylab="EC [mS/m]", xaxt="n", type="n",cex.lab=1.2) axis(1,at=seq(1994,by=1/12,length=12), labels=c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"),las=3) points(x[ca==2],EC[ca==2],type="p",pch=1,lty=1,cex=0.8) points(x[ca==2],EC[ca==2],type="l",pch=1,lty=1,cex=0.8) points(x[ca==5],EC[ca==5],type="p",pch=8,lty=1,cex=0.8) points(x[ca==5],EC[ca==5],type="l",pch=8,lty=1,cex=0.8) points(x[ca==8],EC[ca==8],type="p",pch=7,lty=1,cex=0.8) points(x[ca==8],EC[ca==8],type="l",pch=7,lty=1,cex=0.8) legend("bottomleft",legend=c("C2","C5","C8"),pch=c(1,8,7)) dev.off() |
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# Fig. 8.11.: xy-plot with spatial trend (Cu)
library(StatDA) data(ohorizon) data(chorizon) data(moss) pdf("fig-8-11.pdf",width=9,height=4.5) par(mfrow=c(1,2),mar=c(4,4,2,2)) X=ohorizon[,"XCOO"] Y=ohorizon[,"YCOO"] x1h=(X[Y<7600000 & Y>7500000]-753970)/1000 y1h=log10(ohorizon[Y<7600000 & Y>7500000,"Cu"]) X=moss[,"XCOO"] Y=moss[,"YCOO"] x1m=(X[Y<7600000 & Y>7500000]-753970)/1000 y1m=log10(moss[Y<7600000 & Y>7500000,"Cu"]) X=chorizon[,"XCOO"] Y=chorizon[,"YCOO"] x1c=(X[Y<7600000 & Y>7500000]-753970)/1000 y1c=log10(chorizon[Y<7600000 & Y>7500000,"Cu"]) plot(x1h,y1h,xlab="Distance from Monchegorsk [km]",ylab="Cu [mg/kg]",pch=4,cex=0.5, ylim=c(min(y1h,y1m,y1c),max(y1h,y1m,y1c)),yaxt="n",col="gray",cex.lab=1.2) axis(2,at=log10(a<-sort(c((10^(-50:50))%*%t(c(2,5,10))))),labels=a) lines(smooth.spline(x1h,y1h,spar=0.7),col=1,lwd=1.4,lty=4) points(x1m,y1m,pch=22,cex=0.5,col="gray") lines(smooth.spline(x1m,y1m,spar=0.7),col=1,lty=2,lwd=1.4) points(x1c,y1c,pch=16,cex=0.3,col="gray") lines(smooth.spline(x1c,y1c,spar=0.7),col=1,lty=1,lwd=1.4) legend("topleft",legend=c("Moss","O-horizon","C-horizon"),lty=c(2,4,1), cex=0.8,lwd=c(1.4,1.4,1.4)) X=ohorizon[,"XCOO"] Y=ohorizon[,"YCOO"] x1h=abs((Y[X<460000]-max(Y)+2000)/1000) y1h=log10(ohorizon[X<460000,"Cu"]) X=moss[,"XCOO"] Y=moss[,"YCOO"] x1m=abs((Y[X<460000]-max(Y)+2000)/1000) y1m=log10(moss[X<460000,"Cu"]) X=chorizon[,"XCOO"] Y=chorizon[,"YCOO"] x1c=abs((Y[X<460000]-max(Y)+2000)/1000) y1c=log10(chorizon[X<460000,"Cu"]) plot(x1h,y1h,xlab="Distance from coast [km]",ylab="Cu [mg/kg]",pch=4,cex=0.5, ylim=c(min(y1h,y1m,y1c),max(y1h,y1m,y1c)),yaxt="n",col="gray",cex.lab=1.2) axis(2,at=log10(a<-sort(c((10^(-50:50))%*%t(c(2,5,10))))),labels=a) lines(smooth.spline(x1h,y1h,spar=0.7),col=1,lwd=1.4,lty=4) points(x1m,y1m,pch=22,cex=0.5,col="gray") lines(smooth.spline(x1m,y1m,spar=0.7),col=1,lty=2,lwd=1.4) points(x1c,y1c,pch=16,cex=0.3,col="gray") lines(smooth.spline(x1c,y1c,spar=0.7),col=1,lty=1,lwd=1.4) legend("topleft",legend=c("Moss","O-horizon","C-horizon"),lty=c(2,4,1), cex=0.8,lwd=c(1.4,1.4,1.4)) dev.off() |