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road_data_graphs.R
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###Summary Statistics and Tests
#install.packages('ggpubr')
install.packages('ggplot2')
library(ggpubr)
library(ggplot2)
summary(len_fclass$time_our) #summary statistics
summary(len_fclass$time_google)
summary(len_fclass$difference_our_google)
summary(len_fclass$percent_difference_our)
sd(len_fclass$time_our) #to find standard deviation
sd(len_fclass$time_google)
t.test(len_fclass$time_our, len_fclass$time_google) #to check whether they are statsitically different
#Summary statistics for subcategories of fclass (for the data has 250 obs for each category)
summary(subset(len_fclass, fclass=='primary'))
summary(subset(len_fclass, fclass=='secondary'))
summary(subset(len_fclass, fclass=='tertiary'))
summary(subset(len_fclass, fclass=='track'))
summary(subset(len_fclass, fclass=='trunk'))
summary(subset(len_fclass, fclass=='unclassified'))
#Summary statistics for subcategories of fclass for the dataset that has maxpeed
summary(subset(maxspeed_len_fclass, fclass=='primary'))
summary(subset(maxspeed_len_fclass, fclass=='secondary'))
summary(subset(maxspeed_len_fclass, fclass=='tertiary') )
summary(subset(maxspeed_len_fclass, fclass=='track') )
summary(subset(maxspeed_len_fclass, fclass=='trunk'))
summary(subset(maxspeed_len_fclass, fclass=='unclassified') )
#Summary statistics for time and time difference
summary(len_fclass$percent_difference_our)
summary(maxspeed_len_fclass$time_our)
summary(maxspeed_len_fclass$time_google)
summary(maxspeed_len_fclass$time_osm)
summary(maxspeed_len_fclass$difference_our_google)
summary(maxspeed_len_fclass$difference_our_osm)
summary(maxspeed_len_fclass$difference_osm_google)
sd(maxspeed_len_fclass$time_our)
sd(maxspeed_len_fclass$time_google)
sd(maxspeed_len_fclass$time_osm)
t.test(maxspeed_len_fclass$time_our,maxspeed_len_fclass$time_google)
t.test(maxspeed_len_fclass$time_our,maxspeed_len_fclass$time_osm)
#Summary statistics for difference ratio difference/osm
summary(maxspeed_len_fclass$percent_dour_google)
summary(maxspeed_len_fclass$percent_dour_dosm)
summary(maxspeed_len_fclass$percent_dosm_dgoogle)
###Graphs
###Plots for Time###
rm(vplot1)
vplot1=ggplot(len_fclass, aes(x=time_our, y=fclass,fill=fclass)) + geom_violin()
vplot1=vplot1+labs(title=" Our Travel Time and Road Type ",x="Minutes ",y="Road Type",caption = "(N=250 for each category)")
vplot1=vplot1+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplot1
rm(vplot2)
vplot2=ggplot(len_fclass, aes(x=time_google, y=fclass,fill=fclass)) + geom_violin()
vplot2=vplot2+labs(title=" Google Travel Time and Road Type ",x="Minutes ",y="Road Type",caption = "(N=250 for each category and lengths>1000)")
vplot2=vplot2+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplot2
vplot3=ggplot(maxspeed_len_fclass, aes(x=time_our, y=fclass,fill=fclass)) + geom_violin()
vplot3=vplot3+labs(title=" Our Travel Time and Road Type ",x="Minutes ",y="Road Type",caption='(Subsample has OSM Speed values, length>1000)')
vplot3=vplot3+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplot3
vplot4=ggplot(maxspeed_len_fclass, aes(x=time_google, y=fclass,fill=fclass)) + geom_violin()
vplot4=vplot4+labs(title=" Google Travel Time and Road Type ",x="Minutes ",y="Road Type",caption='(Subsample has OSM Speed values, length>1000)')
vplot4=vplot4+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplot4
vplot5=ggplot(maxspeed_len_fclass, aes(x=time_osm, y=fclass,fill=fclass)) + geom_violin()
vplot5=vplot5+labs(title=" OSM Travel Time and Road Type ",x="Minutes ",y="Road Type",caption='(Subsample has OSM Speed values, length>1000)')
vplot5=vplot5+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplot5
#To combine previous plots
ggarrange(vplot3,vplot4,vplot5,vplot1,vplot2 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
###Plots for difference in minutes###
vplotdif1=ggplot(len_fclass, aes(x=difference_our_google, y=fclass,fill=fclass)) + geom_violin()
vplotdif1=vplotdif1+labs(title="Time Difference for Our and Google Values ",x="Minutes",y="Road Type"
,caption = "(Difference= Our Time - Google Time)",subtitle="(For the sample with n=1500)")
vplotdif1=vplotdif1+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotdif1
vplotdif2=ggplot(maxspeed_len_fclass, aes(x=difference_our_google, y=fclass,fill=fclass)) + geom_violin()
vplotdif2=vplotdif2+labs(title="Time Difference for Our and Google Values ",x="Minutes",y="Road Type"
,subtitle="(For the sample has OSM speed)",caption = "(Difference= Our Time - Google Time)")
vplotdif2=vplotdif2+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotdif2
vplotdif3=ggplot(maxspeed_len_fclass, aes(x=difference_our_osm, y=fclass,fill=fclass)) + geom_violin()
vplotdif3=vplotdif3+labs(title="Time Difference for Our and OSM Values ",x="Minutes",y="Road Type"
,subtitle="(For the sample has OSM speed)",caption = "(Difference= Our Time - OSM Time)")
vplotdif3=vplotdif3+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotdif3
vplotdif4=ggplot(maxspeed_len_fclass, aes(x=difference_osm_google, y=fclass,fill=fclass)) + geom_violin()
vplotdif4=vplotdif4+labs(title="Time Difference for OSM and Google Values ",x="Minutes",y="Road Type"
,subtitle="(For the sample has OSM speed)",caption = "(Difference= OSM Time - Google Time)")
vplotdif4=vplotdif4+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotdif4
#To combine previous plots
ggarrange(vplotdif1,vplotdif2,vplotdif3,vplotdif4 + rremove("x.text"),labels = c("",""), ncol = 2, nrow = 2)
###Plots for difference in ratios###
vplotrat1=ggplot(len_fclass, aes(x=ratio_our_google, y=fclass,fill=fclass)) + geom_violin()
vplotrat1=vplotrat1+labs(title="Our/Google Ratio vs Road Type ",x="Ratio",y="Road Type"
,caption = "(Ratio= Our Time/Google Time)",subtitle="(Sample with n=1500)")
vplotrat1=vplotrat1+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat1
vplotrat2=ggplot(len_fclass, aes(x=percent_difference_our, y=fclass,fill=fclass)) + geom_violin()
vplotrat2=vplotrat2+labs(title="Our&Google Ratio vs Road",x="Ratio",y="Road Type"
,caption = "Ratio= (Our Time-Google Time)*100/Our Time"
,subtitle = "Sample with n=1500")
vplotrat2=vplotrat2+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat2
vplotrat3=ggplot(maxspeed_len_fclass, aes(x=ratio_our_google, y=fclass,fill=fclass)) + geom_violin()
vplotrat3=vplotrat3+labs(title="Our/Google Ratio vs Road Type ",x="Ratio",y="Road Type"
,subtitle="(For the sample has OSM Speed)",caption = "(Ratio= Our Time/Google Time)")
vplotrat3=vplotrat3+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat3
vplotrat4=ggplot(maxspeed_len_fclass, aes(x=ratio_our_osm, y=fclass,fill=fclass)) + geom_violin()
vplotrat4=vplotrat4+labs(title="Our/OSM Ratio vs Road Type ",x="Ratio",y="Road Type"
,subtitle="(For the sample has OSM Speed)",caption = "(Ratio= Our Time/OSM Time)")
vplotrat4=vplotrat4+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat4
vplotrat5=ggplot(maxspeed_len_fclass, aes(x=ratio_osm_google, y=fclass,fill=fclass)) + geom_violin()
vplotrat5=vplotrat5+labs(title="OSM/Google Ratio vs Road Type ",x="Ratio",y="Road Type"
,subtitle="(For the sample has OSM Speed)",caption = "(Ratio= OSM Time/Google Time)")
vplotrat5=vplotrat5+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat5
vplotrat6=ggplot(maxspeed_len_fclass, aes(x=percent_dour_google, y=fclass,fill=fclass)) + geom_violin()
vplotrat6=vplotrat6+labs(title="Our&Google Ratio vs Road",x="Ratio",y="Road Type"
,caption = "Ratio= (Our Time-Google Time)*100/Our Time")
vplotrat6=vplotrat6+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat6
vplotrat7=ggplot(maxspeed_len_fclass, aes(x=percent_dour_dosm, y=fclass,fill=fclass)) + geom_violin()
vplotrat7=vplotrat7+labs(title="Our&OSM Ratio vs Road",x="Ratio",y="Road Type"
,caption = "Ratio= (Our Time-OSM Time)*100/Our Time")
vplotrat7=vplotrat7+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat7
vplotrat8=ggplot(maxspeed_len_fclass, aes(x=percent_dosm_dgoogle, y=fclass,fill=fclass)) + geom_violin()
vplotrat8=vplotrat8+labs(title="OSM&Google Ratio vs Road",x="Ratio",y="Road Type"
,caption = "Ratio= (OSM Time-Google Time)*100/OSM Time")
vplotrat8=vplotrat8+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
vplotrat8
#To combine previous plots
ggarrange(vplotrat2,vplotrat6,vplotrat7,vplotrat8 + rremove("x.text"),labels = c("",""), ncol = 2, nrow = 2)
#To combine previous plots
ggarrange(vplotrat1,vplotrat3,vplotrat4,vplotrat5 + rremove("x.text"),labels = c("",""), ncol = 2, nrow = 2)
#Histograms for ratio of difference for google and our, (time_our-time_google)*100/time_our
rm(hist1)
hist1<-ggplot(subset(len_fclass, fclass=='primary') ,aes(x=percent_difference_our))
hist1<-hist1+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist1=hist1+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist1=hist1+labs(title="Primary",x="Ratio of Difference",y="Density")
hist1
rm(hist2)
hist2<-ggplot(subset(len_fclass, fclass=='secondary') ,aes(x=percent_difference_our))
hist2<-hist2+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist2=hist2+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist2=hist2+labs(title="Secondary",x="Ratio of Difference",y="Density")
hist2
rm(hist3)
hist3<-ggplot(subset(len_fclass, fclass=='tertiary') ,aes(x=percent_difference_our))
hist3<-hist3+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist3=hist3+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist3=hist3+labs(title="Tertiary",x="Ratio of Difference",y="Density")
hist3
rm(hist4)
hist4<-ggplot(subset(len_fclass, fclass=='track') ,aes(x=percent_difference_our))
hist4<-hist4+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist4=hist4+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist4=hist4+labs(title="Track",x="Ratio of Difference",y="Density")
hist4
rm(hist5)
hist5=ggplot(subset(len_fclass, fclass=='trunk') ,aes(x=percent_difference_our))
hist5=hist5+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist5=hist5+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist5=hist5+labs(title="Trunk",x="Ratio of Difference",y="Density")
hist5
rm(hist6)
hist6=ggplot(subset(len_fclass, fclass=='unclassified') ,aes(x=percent_difference_our))
hist6=hist6+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist6=hist6+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist6=hist6+labs(title="Unclassified",x="Ratio of Difference",y="Density")
hist6
#To combine previous plots
ggarrange(hist1,hist2,hist3,hist4,hist5,hist6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
###Plots for the difference for the data have variable max speed
#Histograms for ratio of difference for google and our (time_our-time_osm)*100/time_our
rm(hist1)
hist1<-ggplot(subset(maxspeed_len_fclass, fclass=='primary') ,aes(x=percent_dour_dosm))
hist1<-hist1+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist1=hist1+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist1=hist1+labs(title="Primary",x="Ratio of Difference",y="Density")
hist1
rm(hist2)
hist2<-ggplot(subset(maxspeed_len_fclass, fclass=='secondary') ,aes(x=percent_dour_dosm))
hist2<-hist2+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist2=hist2+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist2=hist2+labs(title="Secondary",x="Ratio of Difference",y="Density")
hist2
rm(hist3)
hist3<-ggplot(subset(maxspeed_len_fclass, fclass=='tertiary') ,aes(x=percent_dour_dosm))
hist3<-hist3+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist3=hist3+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist3=hist3+labs(title="Tertiary",x="Ratio of Difference",y="Density")
hist3
rm(hist4)
hist4<-ggplot(subset(maxspeed_len_fclass, fclass=='track') ,aes(x=percent_dour_dosm))
hist4<-hist4+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist4=hist4+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist4=hist4+labs(title="Track",x="Ratio of Difference",y="Density")
hist4
rm(hist5)
hist5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk') ,aes(x=percent_dour_dosm))
hist5=hist5+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist5=hist5+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist5=hist5+labs(title="Trunk",x="Ratio of Difference",y="Density")
hist5
rm(hist6)
hist6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified') ,aes(x=percent_dour_dosm))
hist6=hist6+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist6=hist6+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist6=hist6+labs(title="Unclassified",x="Ratio of Difference",y="Density")
hist6
#To combine previous plots
ggarrange(hist1,hist2,hist3,hist4,hist5,hist6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
#Histograms for ratio of difference for google and our, (time_our-time_google)*100/time_our
rm(hist1)
hist1<-ggplot(subset(maxspeed_len_fclass, fclass=='primary') ,aes(x=percent_dour_google))
hist1<-hist1+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist1=hist1+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist1=hist1+labs(title="Primary",x="Ratio of Difference",y="Density")
hist1
rm(hist2)
hist2<-ggplot(subset(maxspeed_len_fclass, fclass=='secondary') ,aes(x=percent_dour_google))
hist2<-hist2+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist2=hist2+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist2=hist2+labs(title="Secondary",x="Ratio of Difference",y="Density")
hist2
rm(hist3)
hist3<-ggplot(subset(maxspeed_len_fclass, fclass=='tertiary') ,aes(x=percent_dour_google))
hist3<-hist3+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist3=hist3+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist3=hist3+labs(title="Tertiary",x="Ratio of Difference",y="Density")
hist3
rm(hist4)
hist4<-ggplot(subset(maxspeed_len_fclass, fclass=='track') ,aes(x=percent_dour_google))
hist4<-hist4+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist4=hist4+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist4=hist4+labs(title="Track",x="Ratio of Difference",y="Density")
hist4
rm(hist5)
hist5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk') ,aes(x=percent_dour_google))
hist5=hist5+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist5=hist5+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist5=hist5+labs(title="Trunk",x="Ratio of Difference",y="Density")
hist5
rm(hist6)
hist6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified') ,aes(x=percent_dour_google))
hist6=hist6+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist6=hist6+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist6=hist6+labs(title="Unclassified",x="Ratio of Difference",y="Density")
hist6
#To combine previous plots
ggarrange(hist1,hist2,hist3,hist4,hist5,hist6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
#Histograms for ratio of difference for google and osm, (time_osm-time_google)*100/time_osm
rm(hist1)
hist1<-ggplot(subset(maxspeed_len_fclass, fclass=='primary') ,aes(x=percent_dosm_dgoogle))
hist1<-hist1+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist1=hist1+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist1=hist1+labs(title="Primary",x="Ratio of Difference",y="Density")
hist1
rm(hist2)
hist2<-ggplot(subset(maxspeed_len_fclass, fclass=='secondary') ,aes(x=percent_dosm_dgoogle))
hist2<-hist2+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist2=hist2+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist2=hist2+labs(title="Secondary",x="Ratio of Difference",y="Density")
hist2
rm(hist3)
hist3<-ggplot(subset(maxspeed_len_fclass, fclass=='tertiary') ,aes(x=percent_dosm_dgoogle))
hist3<-hist3+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist3=hist3+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist3=hist3+labs(title="Tertiary",x="Ratio of Difference",y="Density")
hist3
rm(hist4)
hist4<-ggplot(subset(maxspeed_len_fclass, fclass=='track') ,aes(x=percent_dosm_dgoogle))
hist4<-hist4+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist4=hist4+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist4=hist4+labs(title="Track",x="Ratio of Difference",y="Density")
hist4
rm(hist5)
hist5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk') ,aes(x=percent_dosm_dgoogle))
hist5=hist5+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist5=hist5+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist5=hist5+labs(title="Trunk",x="Ratio of Difference",y="Density")
hist5
rm(hist6)
hist6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified') ,aes(x=percent_dosm_dgoogle))
hist6=hist6+geom_histogram(aes(y=..density..) , binwidth = 30,color="red",fill="orange")
hist6=hist6+ geom_density(alpha=0.1)+ theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist6=hist6+labs(title="Unclassified",x="Ratio of Difference",y="Density")
hist6
ggarrange(hist1,hist2,hist3,hist4,hist5,hist6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
###Difference vs Road length
#Plot for road length vs difference (google and our, (time_our-time_google)*100/time_our)
rm(l_plot1)
l_plot1=ggplot(subset(len_fclass, fclass=='primary'),aes(x = road_len_m, y = percent_difference_our))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length in meter",y="Ratio of Difference ")
l_plot1
rm(l_plot2)
l_plot2=ggplot(subset(len_fclass, fclass=='secondary'),aes(x = road_len_m, y = percent_difference_our))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length in meter",y="Ratio of Difference ")
l_plot2
rm(l_plot3)
l_plot3=ggplot(subset(len_fclass, fclass=='tertiary'),aes(x = road_len_m, y = percent_difference_our))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length in meter",y="Ratio of Difference ")
l_plot3
rm(l_plot4)
l_plot4=ggplot(subset(len_fclass, fclass=='track'),aes(x = road_len_m, y = percent_difference_our))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length in meter",y="Ratio of Difference ")
l_plot4
rm(l_plot5)
l_plot5=ggplot(subset(len_fclass, fclass=='trunk'),aes(x = road_len_m, y = percent_difference_our))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length in meter",y="Ratio of Difference ")
l_plot5
rm(l_plot6)
l_plot6=ggplot(subset(len_fclass, fclass=='unclassified'),aes(x = road_len_m, y = percent_difference_our))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length in meter",y="Ratio of Difference ")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
##Plots for the data have variable maxspeed
#Plot for road length vs difference (google and our, (time_our-time_google)*100/time_our)
rm(l_plot1)
l_plot1=ggplot(subset(maxspeed_len_fclass, fclass=='primary'),aes(x = road_len_m, y = percent_dour_google))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length in meter",y="Ratio of Difference ")
l_plot1
rm(l_plot2)
l_plot2=ggplot(subset(maxspeed_len_fclass, fclass=='secondary'),aes(x = road_len_m, y = percent_dour_google))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length in meter",y="Ratio of Difference ")
l_plot2
rm(l_plot3)
l_plot3=ggplot(subset(maxspeed_len_fclass, fclass=='tertiary'),aes(x = road_len_m, y = percent_dour_google))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length in meter",y="Ratio of Difference ")
l_plot3
rm(l_plot4)
l_plot4=ggplot(subset(maxspeed_len_fclass, fclass=='track'),aes(x = road_len_m, y = percent_dour_google))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length in meter",y="Ratio of Difference ")
l_plot4
rm(l_plot5)
l_plot5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk'),aes(x = road_len_m, y = percent_dour_google))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length in meter",y="Ratio of Difference ")
l_plot5
rm(l_plot6)
l_plot6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified'),aes(x = road_len_m, y = percent_dour_google))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length in meter",y="Ratio of Difference ")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
#Plot for road length vs difference (osm and our, (time_our-time_osm)*100/time_our)
rm(l_plot1)
l_plot1=ggplot(subset(maxspeed_len_fclass, fclass=='primary'),aes(x = road_len_m, y = percent_dour_dosm))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length in meter",y="Ratio of Difference ")
l_plot1
rm(l_plot2)
l_plot2=ggplot(subset(maxspeed_len_fclass, fclass=='secondary'),aes(x = road_len_m, y = percent_dour_dosm))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length in meter",y="Ratio of Difference ")
l_plot2
rm(l_plot3)
l_plot3=ggplot(subset(maxspeed_len_fclass, fclass=='tertiary'),aes(x = road_len_m, y = percent_dour_dosm))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length in meter",y="Ratio of Difference ")
l_plot3
rm(l_plot4)
l_plot4=ggplot(subset(maxspeed_len_fclass, fclass=='track'),aes(x = road_len_m, y = percent_dour_dosm))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length in meter",y="Ratio of Difference ")
l_plot4
rm(l_plot5)
l_plot5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk'),aes(x = road_len_m, y = percent_dour_dosm))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length in meter",y="Ratio of Difference ")
l_plot5
rm(l_plot6)
l_plot6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified'),aes(x = road_len_m, y = percent_dour_dosm))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length in meter",y="Ratio of Difference ")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
#Plot for road length vs difference (google and our, (time_our-time_google)*100/time_our)
rm(l_plot1)
l_plot1=ggplot(subset(maxspeed_len_fclass, fclass=='primary'),aes(x = road_len_m, y = percent_dour_google))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length in meter",y="Ratio of Difference ")
l_plot1
rm(l_plot2)
l_plot2=ggplot(subset(maxspeed_len_fclass, fclass=='secondary'),aes(x = road_len_m, y = percent_dour_google))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length in meter",y="Ratio of Difference ")
l_plot2
rm(l_plot3)
l_plot3=ggplot(subset(maxspeed_len_fclass, fclass=='tertiary'),aes(x = road_len_m, y = percent_dour_google))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length in meter",y="Ratio of Difference ")
l_plot3
rm(l_plot4)
l_plot4=ggplot(subset(maxspeed_len_fclass, fclass=='track'),aes(x = road_len_m, y = percent_dour_google))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length in meter",y="Ratio of Difference ")
l_plot4
rm(l_plot5)
l_plot5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk'),aes(x = road_len_m, y = percent_dour_google))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length in meter",y="Ratio of Difference ")
l_plot5
rm(l_plot6)
l_plot6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified'),aes(x = road_len_m, y = percent_dour_google))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length in meter",y="Ratio of Difference ")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
#Plot for road length vs difference (google and osm, (time_osm-time_google)*100/time_osm)
rm(l_plot1)
l_plot1=ggplot(subset(maxspeed_len_fclass, fclass=='primary'),aes(x = road_len_m, y = percent_dosm_dgoogle))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length in meter",y="Ratio of Difference ")
l_plot1
rm(l_plot2)
l_plot2=ggplot(subset(maxspeed_len_fclass, fclass=='secondary'),aes(x = road_len_m, y = percent_dosm_dgoogle))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length in meter",y="Ratio of Difference ")
l_plot2
rm(l_plot3)
l_plot3=ggplot(subset(maxspeed_len_fclass, fclass=='tertiary'),aes(x = road_len_m, y = percent_dosm_dgoogle))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length in meter",y="Ratio of Difference ")
l_plot3
rm(l_plot4)
l_plot4=ggplot(subset(maxspeed_len_fclass, fclass=='track'),aes(x = road_len_m, y = percent_dosm_dgoogle))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length in meter",y="Ratio of Difference ")
l_plot4
rm(l_plot5)
l_plot5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk'),aes(x = road_len_m, y = percent_dosm_dgoogle))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length in meter",y="Ratio of Difference ")
l_plot5
rm(l_plot6)
l_plot6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified'),aes(x = road_len_m, y = percent_dosm_dgoogle))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length in meter",y="Ratio of Difference ")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 + rremove("x.text"),labels = c("",""), ncol = 3, nrow = 2)
#Graphs for speed values for the data have 250 samples for each category
#Histogram for speed values of Google for primary road type
rm(hist1)
hist1<-ggplot(subset(len_fclass, fclass=='primary') ,aes(x=speed_google))
hist1<-hist1+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist1=hist1+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist1=hist1+labs(title="Primary",x="Google Speed (km)",y="Density",caption = " Our Speed for Primary:80")
hist1=hist1+labs(caption = "Our Speed:80 \n Google Mean:62.04 \n Google Median:63.03")
hist1
#Histogram for speed values of Google for secondary road type
rm(hist2)
hist2<-ggplot(subset(len_fclass, fclass=='secondary') ,aes(x=speed_google))
hist2<-hist2+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist2=hist2+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist2=hist2+labs(title="Secondary",x="Google Speed (km)",y="Density",caption = " Our Speed for Secondary:50")
hist2=hist2+labs(caption = "Our Speed:50 \n Google Mean:50.26 \n Google Median:49.47")
hist2
summary(subset(len_fclass, fclass=='secondary'))
#Histogram for speed values of Google for tertiary road type
rm(hist3)
hist3<-ggplot(subset(len_fclass, fclass=='tertiary') ,aes(x=speed_google))
hist3<-hist3+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist3=hist3+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist3=hist3+labs(title="Tertiary",x="Google Speed (km)",y="Density",caption = " Our Speed for Tertiary:30")
hist3=hist3+labs(caption = "Our Speed:30 \n Google Mean:44.57 \n Google Median:45.63 ")
hist3
summary(subset(len_fclass, fclass=='tertiary'))
#Histogram for speed values of Google for track road type
rm(hist4)
hist4<-ggplot(subset(len_fclass, fclass=='track') ,aes(x=speed_google))
hist4<-hist4+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist4=hist4+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist4=hist4+labs(title="Track",x="Google Speed (km)",y="Density",caption = " Our Speed for Track:10")
hist4=hist4+labs(caption = "Our Speed:10 \n Google Mean:34.11 \n Google Median:36.81")
hist4
summary(subset(len_fclass, fclass=='track'))
#Histogram for speed values of Google for trunk road type
rm(hist5)
hist5=ggplot(subset(len_fclass, fclass=='trunk') ,aes(x=speed_google))
hist5=hist5+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist5=hist5+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist5=hist5+labs(title="Trunk",x="Google Speed (km)",y="Density",caption = " Our Speed for Trunk:80")
hist5=hist5+labs(caption = "Our Speed:80 \n Google Mean:59.91 \n Google Median:61.98")
hist5
summary(subset(len_fclass, fclass=='trunk'))
#Histogram for speed values of Google for unclassified road type
rm(hist6)
hist6=ggplot(subset(len_fclass, fclass=='unclassified') ,aes(x=speed_google))
hist6=hist6+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist6=hist6+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist6=hist6+labs(title="Unclassified",x="Google Speed (km)",y="Density",caption = " Our Speed for Unclassified:40")
hist6=hist6+labs(caption = "Our Speed:40 \n Google Mean:34.55 \n Google Median:32.52")
hist6
summary(subset(len_fclass, fclass=='unclassified'))
ggarrange(hist1,hist2,hist3,hist4,hist5,hist6 ,labels = c("",""), ncol = 3, nrow = 2)
#Line chart for distance vs speed values of Google for primary road type
rm(l_plot1)
l_plot1=ggplot(subset(len_fclass, fclass=='primary'),aes(x = distance, y = speed_google))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length (m)",y="Google Speed (km)")
l_plot1
#Line chart for distance vs speed values of Google for secondary road type
rm(l_plot2)
l_plot2=ggplot(subset(len_fclass, fclass=='secondary'),aes(x = distance, y = speed_google))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length (m)",y="Google Speed (km)")
l_plot2
#Line chart for distance vs speed values of Google for tertiary road type
rm(l_plot3)
l_plot3=ggplot(subset(len_fclass, fclass=='tertiary'),aes(x = distance, y = speed_google))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length (m)",y="Google Speed (km)")
l_plot3
#Line chart for distance vs speed values of Google for track road type
rm(l_plot4)
l_plot4=ggplot(subset(len_fclass, fclass=='track'),aes(x = distance, y = speed_google))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length (m)",y="Google Speed (km)")
l_plot4
#Line chart for distance vs speed values of Google for trunk road type
rm(l_plot5)
l_plot5=ggplot(subset(len_fclass, fclass=='trunk'),aes(x = distance, y = speed_google))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length (m)",y="Google Speed (km)")
l_plot5
#Line chart for distance vs speed values of Google for unclassified road type
rm(l_plot6)
l_plot6=ggplot(subset(len_fclass, fclass=='unclassified'),aes(x = distance, y = speed_google))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length (m)",y="Google Speed (km)")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 ,labels = c("",""), ncol = 3, nrow = 2)
#Histogram for speed values of OSM for primary road type
rm(hist1)
hist1<-ggplot(subset(maxspeed_len_fclass, fclass=='primary') ,aes(x=maxspeed))
hist1<-hist1+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist1=hist1+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist1=hist1+labs(title="Primary",x="OSM Speed (km)",y="Density",caption = " Our Speed for Primary:80")
hist1=hist1+labs(caption = " Our Speed:80 \n OSM Mean:76.77 \nOSM Median:80")
hist1
#Histogram for speed values of OSM for secondary road type
rm(hist2)
hist2<-ggplot(subset(maxspeed_len_fclass, fclass=='secondary') ,aes(x=maxspeed))
hist2<-hist2+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist2=hist2+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist2=hist2+labs(title="Secondary",x="OSM Speed (km)",y="Density",caption = " Our Speed for Secondary:50")
hist2=hist2+labs(caption = " Our Speed:50 \n OSM Mean:72 \n OSM Median:80")
hist2
summary(subset(maxspeed_len_fclass, fclass=='secondary'))
#Histogram for speed values of OSM for tertiary road type
rm(hist3)
hist3<-ggplot(subset(maxspeed_len_fclass, fclass=='tertiary') ,aes(x=maxspeed))
hist3<-hist3+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist3=hist3+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist3=hist3+labs(title="Tertiary",x="OSM Speed (km)",y="Density",caption = " Our Speed for Tertiary:30")
hist3=hist3+labs(caption = " Our Speed:30 \n OSM Mean:54.62 \nOSM Median:60 ")
hist3
summary(subset(maxspeed_len_fclass, fclass=='tertiary'))
#Histogram for speed values of OSM for maxspeed road type
rm(hist4)
hist4<-ggplot(subset(maxspeed_len_fclass, fclass=='track') ,aes(x=maxspeed))
hist4<-hist4+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist4=hist4+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist4=hist4+labs(title="Track",x="OSM Speed (km)",y="Density",caption = " Our Speed for Track:10")
hist4=hist4+labs(caption = " Our Speed:10 \n OSM Mean:42.33 \nOSM Median:40")
hist4
summary(subset(maxspeed_len_fclass, fclass=='track'))
#Histogram for speed values of OSM for trunk road type
rm(hist5)
hist5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk') ,aes(x=maxspeed))
hist5=hist5+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist5=hist5+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist5=hist5+labs(title="Trunk",x="OSM Speed (km)",y="Density",caption = " Our Speed for Trunk:80")
hist5=hist5+labs(caption = " Our Speed:80 \n OSM Mean:83.44 \nOSM Median:80")
hist5
summary(subset(maxspeed_len_fclass, fclass=='trunk'))
#Histogram for speed values of OSM for unclassified road type
rm(hist6)
hist6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified') ,aes(x=maxspeed))
hist6=hist6+geom_histogram(aes(y=..density..) , binwidth = 10,color="red",fill="orange")
hist6=hist6+theme(plot.caption = element_text(hjust = 0.5),legend.position = "none")
hist6=hist6+labs(title="Unclassified",x="OSM Speed (km)",y="Density",caption = " Our Speed for Unclassified:40")
hist6=hist6+labs(caption = " Our Speed:40 \n OSM Mean:49.06 \nOSM Median:50")
hist6
summary(subset(maxspeed_len_fclass, fclass=='unclassified'))
ggarrange(hist1,hist2,hist3,hist4,hist5,hist6 ,labels = c("",""), ncol = 3, nrow = 2)
#Line chart for distance vs speed values of OSM for primary road type
rm(l_plot1)
l_plot1=ggplot(subset(maxspeed_len_fclass, fclass=='primary'),aes(x = distance, y = maxspeed))
l_plot1=l_plot1+geom_line(color="orange")
l_plot1= l_plot1 +labs(title="Primary ",x="Length (m)",y="OSM Speed (km)")
l_plot1
#Line chart for distance vs speed values of OSM for secondary road type
rm(l_plot2)
l_plot2=ggplot(subset(maxspeed_len_fclass, fclass=='secondary'),aes(x = distance, y = maxspeed))
l_plot2=l_plot2+geom_line(color="orange")
l_plot2=l_plot2+labs(title="Secondary ",x="Length (m)",y="OSM Speed (km)")
l_plot2
#Line chart for distance vs speed values of OSM for tertiary road type
rm(l_plot3)
l_plot3=ggplot(subset(maxspeed_len_fclass, fclass=='tertiary'),aes(x = distance, y = maxspeed))
l_plot3=l_plot3+geom_line(color="orange")
l_plot3=l_plot3+labs(title="Tertiary ",x="Length (m)",y="OSM Speed (km)")
l_plot3
#Line chart for distance vs speed values of OSM for track road type
rm(l_plot4)
l_plot4=ggplot(subset(maxspeed_len_fclass, fclass=='track'),aes(x = distance, y = maxspeed))
l_plot4=l_plot4+geom_line(color="orange")
l_plot4=l_plot4+labs(title="Track ",x="Length (m)",y="OSM Speed (km)")
l_plot4
#Line chart for distance vs speed values of OSM for trunk road type
rm(l_plot5)
l_plot5=ggplot(subset(maxspeed_len_fclass, fclass=='trunk'),aes(x = distance, y = maxspeed))
l_plot5=l_plot5+geom_line(color="orange")
l_plot5=l_plot5+labs(title="Trunk ",x="Length (m)",y="OSM Speed (km)")
l_plot5
#Line chart for distance vs speed values of OSM for unclassified road type
rm(l_plot6)
l_plot6=ggplot(subset(maxspeed_len_fclass, fclass=='unclassified'),aes(x = distance, y = maxspeed))
l_plot6=l_plot6+geom_line(color="orange")
l_plot6=l_plot6+labs(title="Unclassified ",x="Length (m)",y="OSM Speed (km)")
l_plot6
ggarrange(l_plot1,l_plot2,l_plot3,l_plot4,l_plot5,l_plot6 ,labels = c("",""), ncol = 3, nrow = 2)