rm(list=ls())
### Loading any missing libraries
library(rvest, quietly = T)
## Warning: package 'rvest' was built under R version 3.5.1
## Warning: package 'xml2' was built under R version 3.5.1
library(stringr, quietly = T)
## Warning: package 'stringr' was built under R version 3.5.2
library(raster, quietly = T)
## Warning: package 'raster' was built under R version 3.5.3
## Warning: package 'sp' was built under R version 3.5.1
library(rgdal, quietly = T)
## Warning: package 'rgdal' was built under R version 3.5.1
## rgdal: version: 1.3-3, (SVN revision 759)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 2.2.3, released 2017/11/20
## Path to GDAL shared files: C:/Program Files/R/R-3.5.0/library/rgdal/gdal
## GDAL binary built with GEOS: TRUE
## Loaded PROJ.4 runtime: Rel. 4.9.3, 15 August 2016, [PJ_VERSION: 493]
## Path to PROJ.4 shared files: C:/Program Files/R/R-3.5.0/library/rgdal/proj
## Linking to sp version: 1.3-1
library(rgeos, quietly = T)
## Warning: package 'rgeos' was built under R version 3.5.2
## rgeos version: 0.4-2, (SVN revision 581)
## GEOS runtime version: 3.6.1-CAPI-1.10.1
## Linking to sp version: 1.3-1
## Polygon checking: TRUE
library(ggplot2, quietly = T)
## Warning: package 'ggplot2' was built under R version 3.5.2
library(sf, quietly = T)
## Warning: package 'sf' was built under R version 3.5.2
## Linking to GEOS 3.6.1, GDAL 2.2.3, PROJ 4.9.3
library(rmarkdown, quietly = T)
library(rasterVis, quietly = T)
## Warning: package 'rasterVis' was built under R version 3.5.2
## Warning: package 'latticeExtra' was built under R version 3.5.1
##
## Attaching package: 'latticeExtra'
## The following object is masked from 'package:ggplot2':
##
## layer
Get the ward boundaries
ukgrid <- "+init=epsg:27700"
latlong <- "+init=epsg:4326"
authorities <- data.frame(authority_name = c('Waltham Forest'),
stringsAsFactors = F)
### getting a geojson of UK wards from governmant data portal
wards <-st_read('https://opendata.arcgis.com/datasets/d5c9c1d89a5a44e9a7f88f182ffe5ba2_2.geojson', quiet = TRUE)
wards <- st_transform(wards, 27700)
wards <- wards[wards$lad16nm %in% authorities$authority_name,]
Import the air quality files
no2_2013_raster <- raster('../air_quality_inputs/no2_2013.asc')
nox_2013_raster <- raster('../air_quality_inputs/nox_2013.asc')
pm25_2013_raster <- raster('../air_quality_inputs/pm25_2013.asc')
pm10_2013_raster <- raster('../air_quality_inputs/pm10_2013.asc')
no2_2020_raster <- raster('../air_quality_inputs/no2_2020.asc')
nox_2020_raster <- raster('../air_quality_inputs/nox_2020.asc')
pm10_2020_raster <- raster('../air_quality_inputs/pm10_2020.asc')
pm25_2020_raster <- raster('../air_quality_inputs/pm25_2020.asc')
Now import the ones that need cropping and re-gridding
no2_2013_minus_no_sc_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/no22013mnosc/w001001.adf')
nox_2013_minus_no_sc_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/nox2013mnosc/w001001.adf')
pm25_2013_minus_no_sc_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/pm252013mnosc/w001001.adf')
pm10_2013_minus_no_sc_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/pm102013mnosc/w001001.adf')
crs(no2_2013_minus_no_sc_raster) <- CRS(ukgrid)
crs(nox_2013_minus_no_sc_raster) <- CRS(ukgrid)
crs(pm25_2013_minus_no_sc_raster) <- CRS(ukgrid)
crs(pm10_2013_minus_no_sc_raster) <- CRS(ukgrid)
no2_2020_sc3_minus_sc1_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/no220sc3msc1/w001001.adf')
nox_2020_sc3_minus_sc1_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/nox20sc3msc1/w001001.adf')
pm25_2020_sc3_minus_sc1_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/pm2520sc3msc1/w001001.adf')
pm10_2020_sc3_minus_sc1_raster <- raster('Z:/Projects/AutomatedAirPollutionMapping/CHASE/R_Mapping/Output/WF/Raster/pm1020sc3msc1/w001001.adf')
crs(no2_2020_sc3_minus_sc1_raster) <- CRS(ukgrid)
crs(nox_2020_sc3_minus_sc1_raster) <- CRS(ukgrid)
crs(pm25_2020_sc3_minus_sc1_raster) <- CRS(ukgrid)
crs(pm10_2020_sc3_minus_sc1_raster) <- CRS(ukgrid)
no2_2013_minus_no_sc_raster <- crop(no2_2013_minus_no_sc_raster, wards)
nox_2013_minus_no_sc_raster <- crop(nox_2013_minus_no_sc_raster, wards)
pm25_2013_minus_no_sc_raster <- crop(pm25_2013_minus_no_sc_raster, wards)
pm10_2013_minus_no_sc_raster <- crop(pm10_2013_minus_no_sc_raster, wards)
no2_2020_sc3_minus_sc1_raster <- crop(no2_2020_sc3_minus_sc1_raster, wards)
nox_2020_sc3_minus_sc1_raster <- crop(nox_2020_sc3_minus_sc1_raster, wards)
pm25_2020_sc3_minus_sc1_raster <- crop(pm25_2020_sc3_minus_sc1_raster, wards)
pm10_2020_sc3_minus_sc1_raster <- crop(pm10_2020_sc3_minus_sc1_raster, wards)
no2_2013_minus_no_sc_raster <- mask(no2_2013_minus_no_sc_raster, wards)
nox_2013_minus_no_sc_raster <- mask(nox_2013_minus_no_sc_raster, wards)
pm25_2013_minus_no_sc_raster <- mask(pm25_2013_minus_no_sc_raster, wards)
pm10_2013_minus_no_sc_raster <- mask(pm10_2013_minus_no_sc_raster, wards)
no2_2020_sc3_minus_sc1_raster <- mask(no2_2020_sc3_minus_sc1_raster, wards)
nox_2020_sc3_minus_sc1_raster <- mask(nox_2020_sc3_minus_sc1_raster, wards)
pm25_2020_sc3_minus_sc1_raster <- mask(pm25_2020_sc3_minus_sc1_raster, wards)
pm10_2020_sc3_minus_sc1_raster <- mask(pm10_2020_sc3_minus_sc1_raster, wards)
no2_2013_minus_no_sc_raster <- disaggregate(no2_2013_minus_no_sc_raster, fact = 4, method="bilinear")
nox_2013_minus_no_sc_raster <- disaggregate(nox_2013_minus_no_sc_raster, fact = 4, method="bilinear")
pm25_2013_minus_no_sc_raster <- disaggregate(pm25_2013_minus_no_sc_raster, fact = 4, method="bilinear")
pm10_2013_minus_no_sc_raster <- disaggregate(pm10_2013_minus_no_sc_raster, fact = 4, method="bilinear")
no2_2020_sc3_minus_sc1_raster <- disaggregate(no2_2020_sc3_minus_sc1_raster, fact = 4, method="bilinear")
nox_2020_sc3_minus_sc1_raster <- disaggregate(nox_2020_sc3_minus_sc1_raster, fact = 4, method="bilinear")
pm25_2020_sc3_minus_sc1_raster <- disaggregate(pm25_2020_sc3_minus_sc1_raster, fact = 4, method="bilinear")
pm10_2020_sc3_minus_sc1_raster <- disaggregate(pm10_2020_sc3_minus_sc1_raster, fact = 4, method="bilinear")
rm(wards, authorities)
Now import some colour files
source('https://raw.githubusercontent.com/KCL-ERG/colour_schemes/master/2013/pm25_laei2013_colours_breaks.R')
source('https://raw.githubusercontent.com/KCL-ERG/colour_schemes/master/2013/no2_laei2013_colours_breaks.R')
source('https://raw.githubusercontent.com/KCL-ERG/colour_schemes/master/2013/pm10_laei2013_colours_breaks.R')
png('../map_outputs/no2_2013_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(no2_2013_raster,
maxpixels = no2_2013_raster@ncols/2 * no2_2013_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(no2_2013_raster,plot)
png('../map_outputs/no2_2020_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(no2_2020_raster,
maxpixels = no2_2020_raster@ncols/2 * no2_2020_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(no2_2020_raster, plot)
png('../map_outputs/nox_2013_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(nox_2013_raster,
maxpixels = nox_2020_raster@ncols/2 * nox_2020_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(nox_2013_raster, plot)
png('../map_outputs/nox_2020_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(nox_2020_raster,
maxpixels = nox_2020_raster@ncols/2 * nox_2020_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = 17),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(nox_2020_raster, plot)
png('../map_outputs/pm25_2013_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm25_2013_raster,
maxpixels = pm25_2013_raster@ncols * pm25_2013_raster@nrows,
margin = FALSE,
colorkey = list(
at = seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = 12),
space = 'right',
labels = list(at=seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = 12),
labels = paste(" \n \n ",pm25_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm25_laei2013_colours,
at = pm25_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm25_2013_raster, plot)
png('../map_outputs/pm25_2020_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm25_2020_raster,
maxpixels = pm25_2020_raster@ncols * pm25_2020_raster@nrows,
margin = FALSE,
colorkey = list(
at = seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = 12),
space = 'right',
labels = list(at=seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = 12),
labels = paste(" \n \n ",pm25_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm25_laei2013_colours,
at = pm25_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm25_2020_raster, plot)
png('../map_outputs/pm10_2013_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm10_2013_raster,
maxpixels = pm10_2013_raster@ncols * pm10_2013_raster@nrows,
margin = FALSE,
colorkey = list(
at = seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = 17),
space = 'right',
labels = list(at=seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = 17),
labels = paste(" \n \n ",pm10_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm10_laei2013_colours,
at = pm10_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm10_2013_raster, plot)
png('../map_outputs/pm10_2020_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm10_2020_raster,
maxpixels = pm10_2020_raster@ncols * pm10_2020_raster@nrows,
margin = FALSE,
colorkey = list(
at = seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = 17),
space = 'right',
labels = list(at=seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = 17),
labels = paste(" \n \n ",pm10_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm10_laei2013_colours,
at = pm10_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm10_2020_raster, plot)
no2_2013_minus_no_sc_raster <- no2_2013_minus_no_sc_raster * -1
nox_2013_minus_no_sc_raster <- nox_2013_minus_no_sc_raster * -1
pm25_2013_minus_no_sc_raster <- pm25_2013_minus_no_sc_raster * -1
pm10_2013_minus_no_sc_raster <- pm10_2013_minus_no_sc_raster * -1
no2_laei2013_breaks <- c(0,format(round(quantile(no2_2013_minus_no_sc_raster, seq(0,1,length.out = 15)),4), scientific=F), 1) #17
no2_laei2013_labels <- c("", paste(no2_laei2013_breaks[1:length(no2_laei2013_breaks)-1], "-",
no2_laei2013_breaks[2:length(no2_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/no2_2013_minus_no_school_run_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(no2_2013_minus_no_sc_raster,
maxpixels = no2_2013_minus_no_sc_raster@ncols/2 * no2_2013_minus_no_sc_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(no2_2013_minus_no_sc_raster, plot)
no2_laei2013_breaks <- c(-1,format(round(quantile(no2_2020_sc3_minus_sc1_raster, seq(0,1,length.out = 15)),3), scientific=F), 0) #17
#no2_laei2013_colours <- c("#064AF4", "#0C95E9", "#19CFD2", "#82FDCF", "#68DE85", "#A4EB50", "#FFFF80", "#FFD600", "#FFAD5B", "#F97C00") #16 (one less above)
no2_laei2013_labels <- c("", paste(no2_laei2013_breaks[1:length(no2_laei2013_breaks)-1], "to",
no2_laei2013_breaks[2:length(no2_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/no2_2020_sc3_minus_sc1_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(no2_2020_sc3_minus_sc1_raster,
maxpixels = no2_2020_sc3_minus_sc1_raster@ncols/2 * no2_2020_sc3_minus_sc1_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(no2_2020_sc3_minus_sc1_raster, plot)
no2_laei2013_breaks <- c(0,format(round(quantile(nox_2013_minus_no_sc_raster, seq(0,1,length.out = 15)),4), scientific=F), 4) #17
#no2_laei2013_colours <- c("#064AF4", "#0C95E9", "#19CFD2", "#82FDCF", "#68DE85", "#A4EB50", "#FFFF80", "#FFD600", #"#FFAD5B", "#F97C00") #16 (one less above)
no2_laei2013_labels <- c("", paste(no2_laei2013_breaks[1:length(no2_laei2013_breaks)-1], "-",
no2_laei2013_breaks[2:length(no2_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/nox_2013_minus_no_school_run_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(nox_2013_minus_no_sc_raster,
maxpixels = nox_2013_minus_no_sc_raster@ncols/2 * nox_2013_minus_no_sc_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(nox_2013_minus_no_sc_raster, plot)
no2_laei2013_breaks <- c(-2,format(round(quantile(nox_2020_sc3_minus_sc1_raster, seq(0,1,length.out = 15)),3), scientific=F), 0) #17
no2_laei2013_labels <- c("", paste(no2_laei2013_breaks[1:length(no2_laei2013_breaks)-1], "to",
no2_laei2013_breaks[2:length(no2_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/nox_2020_sc3_minus_sc1_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(nox_2020_sc3_minus_sc1_raster,
maxpixels = nox_2020_sc3_minus_sc1_raster@ncols/2 * nox_2020_sc3_minus_sc1_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(no2_laei2013_breaks), max(no2_laei2013_breaks), length = length(no2_laei2013_breaks)),
labels = paste(" \n \n ",no2_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = no2_laei2013_colours,
at = no2_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(nox_2020_sc3_minus_sc1_raster, plot)
pm25_laei2013_breaks <- c(0,format(round(quantile(pm25_2013_minus_no_sc_raster, seq(0,1,length.out = 10)),4), scientific=F), 0.13) #17
pm25_laei2013_labels <- c("", paste(pm25_laei2013_breaks[1:length(pm25_laei2013_breaks)-1], "-",
pm25_laei2013_breaks[2:length(pm25_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/pm25_2013_minus_no_school_run_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm25_2013_minus_no_sc_raster,
maxpixels = pm25_2013_minus_no_sc_raster@ncols/2 * pm25_2013_minus_no_sc_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = length(pm25_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = length(pm25_laei2013_breaks)),
labels = paste(" \n \n ",pm25_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm25_laei2013_colours,
at = pm25_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm25_2013_minus_no_sc_raster, plot)
pm25_laei2013_breaks <- c(-0.06,format(round(quantile(pm25_2020_sc3_minus_sc1_raster, seq(0,1,length.out = 10)),4), scientific=F), 0) #17
pm25_laei2013_labels <- c("", paste(pm25_laei2013_breaks[1:length(pm25_laei2013_breaks)-1], "to",
pm25_laei2013_breaks[2:length(pm25_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/pm25_2020_sc3_minus_sc1_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm25_2020_sc3_minus_sc1_raster,
maxpixels = pm25_2020_sc3_minus_sc1_raster@ncols/2 * pm25_2020_sc3_minus_sc1_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = length(pm25_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(pm25_laei2013_breaks), max(pm25_laei2013_breaks), length = length(pm25_laei2013_breaks)),
labels = paste(" \n \n ",pm25_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm25_laei2013_colours,
at = pm25_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm25_2020_sc3_minus_sc1_raster, plot)
pm10_laei2013_breaks <- c(0,format(round(quantile(pm10_2013_minus_no_sc_raster, seq(0,1,length.out = 15)),4), scientific=F), 0.3) #17
pm10_laei2013_labels <- c("", paste(pm10_laei2013_breaks[1:length(pm10_laei2013_breaks)-1], "-",
pm10_laei2013_breaks[2:length(pm10_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/pm10_2013_minus_no_school_run_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm10_2013_minus_no_sc_raster,
maxpixels = pm10_2013_minus_no_sc_raster@ncols/2 * pm10_2013_minus_no_sc_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = length(pm10_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = length(pm10_laei2013_breaks)),
labels = paste(" \n \n ",pm10_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm10_laei2013_colours,
at = pm10_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm10_2013_minus_no_sc_raster, plot)
pm10_laei2013_breaks <- c(-0.014,format(round(quantile(pm10_2020_sc3_minus_sc1_raster, seq(0,1,length.out = 10)),4), scientific=F), 0) #17
pm10_laei2013_labels <- c("", paste(pm25_laei2013_breaks[1:length(pm25_laei2013_breaks)-1], "to",
pm25_laei2013_breaks[2:length(pm25_laei2013_breaks)])) #17 (same as breaks)
png('../map_outputs/pm10_2020_sc3_minus_sc1_raster.png', width = 10, height = 8, units = 'in', res = 300)
plot <- levelplot(pm10_2020_sc3_minus_sc1_raster,
maxpixels = pm10_2020_sc3_minus_sc1_raster@ncols/2 * pm10_2020_sc3_minus_sc1_raster@nrows/2,
margin = FALSE,
colorkey = list(
at = seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = length(pm10_laei2013_breaks)),
space = 'right',
labels = list(at=seq(min(pm10_laei2013_breaks), max(pm10_laei2013_breaks), length = length(pm10_laei2013_breaks)),
labels = paste(" \n \n ",pm10_laei2013_labels),
font = 1,
cex = 1.5)
),
par.settings = list(
axis.line =list( col = 'transparent')
),
scales = list(draw = FALSE),
col.regions = pm10_laei2013_colours,
at = pm10_laei2013_breaks)
plot
dev.off()
## png
## 2
print(plot)
rm(pm10_2020_sc3_minus_sc1_raster, plot)