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5_Analyse_Gentri_Kategorisierung.R
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5_Analyse_Gentri_Kategorisierung.R
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#*************************************************
#*************************************************
#*************************************************
#
# Analyse der Gentri-Kategorisierung
#
#*************************************************
#*************************************************
# ____ Packages ______ ----------------------------------------------------------------
#install.packages("vioplot","ggplot2","sp","gridExtra","lattice",
# "scales","ENmisc","Hmisc","dplyr","grid")
library("vioplot")
library("ggplot2")
library("scales")
library("sp")
library("ENmisc")
library("gridExtra")
library("lattice")
library("Hmisc")
library("dplyr")
library("grid") # needed for arrow() function
library("quantreg")
library("latticeExtra")
library("car")
#*************************************************
boxplot(E_E.2012~interaction(Gentri,STADTRAUM), data=LOR4reg@data, col=3:1)
table(LOR4reg@data$E_E.2012,LOR4reg@data$Gentri,LOR4reg@data$STADTRAUM)
table(LOR4reg@data$Gentri,LOR4reg@data$STADTRAUM)
addmargins(table(LOR4reg@data$E_E.2012,LOR4reg@data$Gentri,LOR4reg@data$STADTRAUM), FUN = sum, quiet = FALSE)
boxplot(Miete.2007 ~ Gentri, data=LOR4reg@data)
boxplot(Armut.2007 ~ Gentri, data=LOR4reg@data)
boxplot(nicht_Alose_Hartz.2007 ~ Gentri, data=LOR4reg@data)
boxplot(Armutchg ~ Gentri, data=LOR4reg@data)
boxplot(Mietechg ~ Gentri, data=LOR4reg@data)
boxplot(LOR4reg@data$FortzuegeR ~ LOR4reg@data$Gentri)
boxplot(LOR4reg@data$FortzuegeDAR ~ LOR4reg@data$Gentri*LOR4reg@data$STADTRAUM)
boxplot(LOR4reg@data$ZuzuegeR ~ LOR4reg@data$Gentri*LOR4reg@data$STADTRAUM)
boxplot(LOR4reg@data$ZuzuegeDAR ~ LOR4reg@data$Gentri*LOR4reg@data$STADTRAUM)
bpDF <- subset(LOR4reg@data, !is.na(Gentri))
bpDF$Gentri <- factor(bpDF$Gentri,levels(bpDF$Gentri)[c(2,3,1)])
bpDF$GentriA <- factor(bpDF$GentriA,levels(bpDF$GentriA)[c(2,3,1)])
GENTRIplot <- function(data,var)
{
localenv <- environment()
p <- ggplot(data, aes_string(x="Gentri",
y=var,
weight="E_E.2012",
fill="Gentri"),
environment = localenv) +
scale_y_continuous(breaks=pretty_breaks(n=10))+
geom_violin(scale = "area") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.3)
}
GENTRIplot(bpDF,"E_65U110Rchg")
p <- ggplot(bpDF, aes(Gentri,
E_65U110Rchg,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10))+
geom_violin(scale = "area") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.3)
p <- ggplot(bpDF, aes(Gentri,
FortzuegeR,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10), limits=c(3,17)) +
geom_violin(scale = "width") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.1)
p <- ggplot(bpDF, aes(Gentri,
ZuzuegeUDAR,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10), limits=c(0,15)) +
geom_violin(scale = "width") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.1)
p <- ggplot(bpDF, aes(Gentri,
nicht_Alose_Hartz.2007,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10)) +
geom_violin(scale = "area") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.05)
p <- ggplot(bpDF, aes(Gentri,
Alose_u25.2007,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10)) +
geom_violin(scale = "area") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.05)
GentriDEFarmut0.1_0.9 <- wtd.quantile(x=bpDF$Armut.2007[bpDF$Gentri=="Gentri"],
weights=bpDF$E_E.2012[bpDF$Gentri=="Gentri"],
probs=c(0.1,0.9))
p <- ggplot(bpDF, aes(Gentri,
Armut.2007,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10)) +
geom_violin(scale = "area") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p <- p + geom_boxplot(width=.05)
p <- p + geom_segment(mapping=aes(x="Gentri", y=GentriDEFarmut0.1_0.9[1],
xend="Kontroll", yend=GentriDEFarmut0.1_0.9[1]),
linetype="dashed", color="red") +
geom_segment(mapping=aes(x="Gentri", y=GentriDEFarmut0.1_0.9[2],
xend="Kontroll", yend=GentriDEFarmut0.1_0.9[2]),
linetype="dashed", color="red")
p
GentriDEFmiete0.1_0.9 <- wtd.quantile(x=bpDF$Miete.2007[bpDF$Gentri=="Gentri"],
weights=bpDF$E_E.2012[bpDF$Gentri=="Gentri"],
probs=c(0.1,0.9))
p <- ggplot(bpDF, aes(Gentri,
Miete.2007,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10)) +
geom_violin(scale = "area") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p <- p + geom_boxplot(width=.05)
p <- p + geom_segment(mapping=aes(x="Gentri", y=GentriDEFmiete0.1_0.9[1],
xend="Kontroll", yend=GentriDEFmiete0.1_0.9[1]),
linetype="dashed", color="red") +
geom_segment(mapping=aes(x="Gentri", y=GentriDEFmiete0.1_0.9[2],
xend="Kontroll", yend=GentriDEFmiete0.1_0.9[2]),
linetype="dashed", color="red")
p
p <- ggplot(bpDF, aes(Gentri,
ZuzuegeAR,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10), limits=c(0,7)) +
geom_violin(scale = "width") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.1)
p <- ggplot(bpDF, aes(Gentri,
FortzuegeUR,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10), limits=c(0,2.5)) +
geom_violin(scale = "width") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.1)
p <- ggplot(bpDF, aes(Gentri,
ZuzuegeDR,
weight=E_E.2012,
fill=Gentri)) +
scale_y_continuous(breaks=pretty_breaks(n=10)) +
geom_violin(scale = "width") +
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p + geom_boxplot(width=.1)
by(LOR4reg@data$Miete.2007, LOR4reg@data$Gentri, summary)
by(LOR4reg@data$Armut.2007, LOR4reg@data$Gentri, summary)
by(LOR4reg@data$nicht_Alose_Hartz.2007, LOR4reg@data$Gentri, summary)
by(LOR4reg@data$E_65U110Rchg, LOR4reg@data$Gentri, summary)
### --- Versuch auf extreme Outliers extern per Arrow zu verweisen ----
p <- ggplot(bpDF, aes(Gentri,
FortzuegeR,
weight=E_E.2012,
fill=Gentri)) +
# scale_y_continuous(breaks=pretty_breaks(n=10))+
geom_violin(scale = "area")
theme(text = element_text(size=20),
axis.text.x = element_text(face="bold"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
legend.position="none")
p1 <- p + geom_boxplot(width=.1)
maxval <- 17
dd <- bpDF %>% filter(FortzuegeR>maxval) %>% group_by(Gentri) %>% summarise(outlier_txt=paste(FortzuegeR,collapse=","))
p2 <- p1 + scale_y_continuous(limits=c(3,maxval)) +
geom_text(data=dd,aes(y=maxval,label=outlier_txt),size=3,vjust=1.5,hjust=-0.5)
geom_segment(data=dd,aes(y=maxval*0.95,yend=maxval,
xend=factor(Gentri)),
arrow = arrow(length = unit(0.1,"cm")))
p2
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# III.) Visualisierung der Kategorisierung GENTRI ------
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
symbols(x=LOR4reg@data$Alosechg,
y=LOR4reg@data$Mietechgr,
circles=sqrt(LOR4reg@data$E_E.2012/ pi ),
xlab="Arbeitslosigkeit Änderung",
ylab="Rel. Mietpreisänderung",
inches=0.2, fg="black", bg="red")
abline(v=weighted.mean(x=LOR4reg@data$Alosechg,
w=LOR4reg@data$E_E.2012,
na.rm=T),
col="blue",lty=2,lwd=2)
abline(h=weighted.mean(x=LOR4reg@data$Mietechgr,
w=LOR4reg@data$E_E.2012,
na.rm=T),
col="blue",lty=2,lwd=2)
par(fig=c(0,0.8,0,0.8), new=TRUE)
abline(v=weighted.mean(x=LOR4reg@data$Alosechg,
w=LOR4reg@data$E_E.2012,
na.rm=T),
col="blue",lty=2,lwd=2)
abline(h=weighted.mean(x=LOR4reg@data$Mietechgr,
w=LOR4reg@data$E_E.2012,
na.rm=T),
col="blue",lty=2,lwd=2)
plot(LOR4reg@data$Alosechg, LOR4reg@data$Mietechgr,
xlab="Arbeitslosigkeit Änderung",
ylab="Rel. Mietpreisänderung",
col=LOR4reg@data$Gentri,
cex=1.5,pch=16)
par(fig=c(0,0.85,0.55,1), new=TRUE)
boxplot(LOR4reg@data$Alosechg, horizontal=TRUE, axes=FALSE)
par(fig=c(0.65,1,0,0.8),new=TRUE)
boxplot(LOR4reg@data$Mietechgr, axes=FALSE)
mtext("Enhanced Scatterplot", side=3, outer=TRUE, line=-3)
abline(v=weighted.mean(x=LOR4reg@data$Alosechg,
w=LOR4reg@data$E_E.2012,
na.rm=T),
col="blue",lty=2,lwd=2)
abline(h=weighted.mean(x=LOR4reg@data$Mietechgr,
w=LOR4reg@data$E_E.2012,
na.rm=T),
col="blue",lty=2,lwd=2)
plot(LOR4reg@data$Alosechg, LOR4reg@data$Mietechgr,
xlab="Arbeitslosigkeit Änderung",
ylab="Rel. Mietpreisänderung",
col=LOR4reg@data$Gentri,
cex=1.5,pch=16)
legend(7,65,rev(unique(LOR4reg@data$Gentri)),col=(1:length(LOR4reg@data$Gentri)),pch=16,pt.cex=1.5)
p <- ggplot(LOR4reg@data, aes(Alosechg, Mietechgr, weight=E_E.2012)) +
geom_point(aes(size = E_E.2012, colour = Gentri)) +
scale_size_area(breaks=c(300, 1000, 5000, 10000, 30000), "Einwohner 2012", max_size=10) +
scale_x_continuous("Änderung der Arbeitslosenquote") +
scale_y_continuous("Rel. Änderung des Mietpreises")
p
#View(LOR4reg@data[,c("RAUMID_NAME","BEZ_NAME","Alosechg","Mietechgr","E_E.2012")])
#View(LOR4reg@data[,c("RAUMID_NAME","BEZ_NAME","Alose.2007","Mietechgr","E_E.2007")])
p <- ggplot(LOR4reg@data, aes(Alose.2007, Miete.2007, weight=E_E.2007)) +
geom_point(aes(size = E_E.2007, colour = Gentri)) +
scale_size_area(breaks=c(300, 1000, 5000, 10000, 30000), "Einwohner 2007", max_size=10) +
scale_x_continuous("Arbeitslosenquote 2007") +
scale_y_continuous("Mietpreises 2007")
p
p <- ggplot(LOR4reg@data, aes(nicht_Alose_Hartz.2007, Alose_u25.2007, weight=E_E.2012)) +
geom_point(aes(size = E_E.2012, colour = Gentri)) +
scale_size_area(breaks=c(300, 1000, 5000, 10000, 30000), "Einwohner 2012", max_size=10) +
scale_x_continuous("nicht_Alose_Hartz.2007") +
scale_y_continuous("Alose_u25.2007")
p
##### sollte noch gemacht werden #####
# Alterarmut.2012
# AlleinerzHH.2012
# PDAU5chg
# PDAU10chg
library(car)
scatterplot(FortzuegeR ~ Mietechgr | Gentri, data=bpDF,
xlab="Miete % Änderung", ylab="Rel. Fortzüge in %",
main="Enhanced Scatter Plot",
labels=row.names(bpDF))
xyplot(FortzuegeR ~ Mietechgr | Gentri, bpDF, groups = bpDF$Gentri, pch= 20,
type = c("p","r"))
summary(bpDF$FortzuegeR)
boxplot(FortzuegeR~Gentri*ZEIT,data=LORdataFULLvalid, ylim=c(1,20))
LORdataFULLvalidINNERESTADT <- subset(LORdataFULLvalid, STADTRAUM=="innere Stadt")
boxplot(FortzuegeR~Gentri*ZEIT,data=LORdataFULLvalidINNERESTADT, ylim=c(3,18), col=c("blue","red","green"))
boxplot(FortzuegeR~ZEIT*Gentri,data=LORdataFULLvalidINNERESTADT,
ylim=c(3,18),
col= c(rep(c("blue"),times=6),
rep(c("red"),times=6),
rep(c("green"),times=6)))
boxplot(FortzuegeR~MietechgrQNTL,data=LORdataFULLvalid, ylim=c(0,40), col=c("blue","yellow","orange","red"))
boxplot(Armutchg.2012~MietechgrQNTL,data=LORdataFULLvalid, ylim=c(0,40), col=c("blue","yellow","orange","red"))
boxplot(Armutchg~MietechgrQNTL,data=LOR4reg@data, ylim=c(-20,10), col=c("blue","yellow","orange","red"))
boxplot(FortzuegeR~,data=LORdataFULLvalid, ylim=c(0,40), col=c("blue","yellow","orange","red"))
boxplot(FortzuegeR~MietechgrQNTL,data=LORdataFULLvalid,
ylim=c(3,18),
col= c(rep(c("blue"),times=6),
rep(c("red"),times=6),
rep(c("green"),times=6)))
boxplot(ZuzuegeDAR~Gentri*ZEIT,data=LORdataFULLvalidINNERESTADT, ylim=c(1,14), col=c("blue","red","green"))
boxplot(ZuzuegeDAR~ZEIT*Gentri,data=LORdataFULLvalidINNERESTADT,
ylim=c(1,15),
col= c(rep(c("blue"),times=6),
rep(c("red"),times=6),
rep(c("green"),times=6)))
boxplot(ZuzuegeR~Gentri*ZEIT,data=LORdataFULLvalidINNERESTADT, ylim=c(5,16), col=c("blue","red","green"))
boxplot(ZuzuegeR~ZEIT*Gentri,data=LORdataFULLvalidINNERESTADT,
ylim=c(5,16),
col= c(rep(c("blue"),times=6),
rep(c("red"),times=6),
rep(c("green"),times=6)))