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map_testing.R
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map_testing.R
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# mapfilter <- reactive({
# table_1_2 %>%
# filter(year%in% input$YearInput,
# source %in% input$SourceInput,
# gender %in% input$GenderInput,
# type %in% input$TypeInput,
# income_source %in% input$IncomeSource)
# })
## test space
mapfilter <- table_1_2 %>%
filter(year==2012,
source=="T1 Personal Master File",
gender == "Both",
type == "Incoming",
income_source == "Outside the Jurisdiction")
output$mainmap <- renderPlot({
# mapdat <- simple_pr_shapefile %>%
# inner_join(mapfilter(), by='PRUID') %>%
#
# mutate(mapformat=sf::st_transform(
# simple_pr_shapefile$geometry,
# crs= "+proj=laea +lat_0=56.1304 +lon_0=-86.3468 +ellps=WGS84 +units=m +no_defs "))
mapdat <- simple_pr_shapefile %>%
inner_join(mapfilter,by='PRUID') %>%
mutate(mapformat=sf::st_transform(
simple_pr_shapefile$geometry,
crs= "+proj=laea +lat_0=56.1304 +lon_0=-86.3468 +ellps=WGS84 +units=m +no_defs "))
## set color scheme for concept (employees in blue, income in red)
if(input$SeriesInput == "Employees"){
seriesvar <- mapdat$count
seriestitle <- 'Number of Inter-Jurisdictional Employees'
pal_count_PR <- createClasses(mapdat$count , "Blues", "transparent", 5)
geo_labels_PR <- sprintf(
"<strong>%s (Employees): %s </strong>",
mapdat$province, format(mapdat$count, big.mark = ",")) %>%
lapply(htmltools::HTML) # add labels
} else if(input$SeriesInput == "Income"){
seriesvar <- mapdat$income
seriestitle <- 'Income of Inter-Jurisdictional Employees'
pal_count_PR <- createClasses(mapdat$income, "Reds", "transparent", 5)
geo_labels_PR <- sprintf(
"<strong>%s (Income): %s </strong>",
mapdat$province, format(mapdat$income, big.mark = ",")) %>%
lapply(htmltools::HTML) # add labels
}
ggplot() + geom_sf(data=mapdat$mapformat,
fill=pal_count_PR$pal(seriesvar),
group='count',
color='#444444',
alpha=0.75) + theme_bw() +
theme(panel.grid.major=element_blank(),panel.grid.minor=element_blank(),
axis.title.x=element_blank(),axis.text.x=element_blank(),axis.ticks.x=element_blank(),
axis.title.y=element_blank(),axis.text.y=element_blank(),axis.ticks.y=element_blank())
})
output$clickpoint <- reactive({st_as_sf(data.frame(x=input$mapclick$x,
y=input$mapclick$y),
coords=c('x','y'),crs=4326)})
output$clickprov <- reactive({
simple_pr_shapefile %>%
mutate(inprov=apply(X=simple_pr_shapefile,
MARGIN=1,
FUN=function(x) st_contains(x[3]$geometry,output$clickpoint,sparse=F)[1,1])) %>%
filter(inprov) %>%
pull(PRENAME) %>%
renderText()
})
output$info <- renderText({
paste0("x=", input$map_click$x, "\ny=", input$map_click$y)
})
# clickpoint <- st_as_sf(data.frame(x=887371.552948097,
# y=-594718.652849642),
# coords=c('x','y'),crs=4326)
## test space
mapfilter <- table_1_2 %>%
filter(year==2012,
source=="T1 Personal Master File",
gender == "Both",
type == "Incoming",
income_source == "Outside the Jurisdiction")
test_mapframe <- simple_pr_shapefile %>%
inner_join(mapfilter,by='PRUID')
mapdat <- sf::st_transform(simple_pr_shapefile$geometry,crs= "+proj=laea +lat_0=56.1304 +lon_0=-86.3468 +ellps=WGS84 +units=m +no_defs ")
bounds <- st_bbox(mapdat)
canada_map <- ggplot() + geom_sf(data=mapdat,fill='white') +
# coord_sf(xlim=c(bounds$xmin,bounds$xmax*1.3),
# ylim=c(bounds$ymin*1.3,bounds$ymax)) +
theme_bw() +
theme(panel.grid.major=element_blank(),panel.grid.minor=element_blank(),
axis.title.x=element_blank(),axis.text.x=element_blank(),axis.ticks.x=element_blank(),
axis.title.y=element_blank(),axis.text.y=element_blank(),axis.ticks.y=element_blank())
################
ggplot() + geom_sf(data=test_mapframe2$mapplotting,
fill=pal_count_PR$pal(test_mapframe2$count),
group='count',
color='#444444',
alpha=0.75) +
theme_bw() + theme(panel.grid.major=element_blank(),panel.grid.minor=element_blank(),
axis.title.x=element_blank(),axis.text.x=element_blank(),axis.ticks.x=element_blank(),
axis.title.y=element_blank(),axis.text.y=element_blank(),axis.ticks.y=element_blank())
################
PRcount %>%
addPolygons( data = IJE_table1_filted,stroke = TRUE, color = "#444444", weight = 1, smoothFactor = 0.5,
opacity = 1.0, fillOpacity = 0.5,fillColor = pal_count_PR$pal(seriesvar),group = "count",
highlightOptions = highlightOptions(color = "white", weight = 2,
bringToFront = FALSE),
label = geo_labels_PR,
labelOptions = labelOptions(
style = list(padding = "3px 8px"),
textsize = "13px",
direction = "auto"),
popup =paste( '<B>', IJE_table1_filted$province, '</B>', "<br>",
"Number of Employees: ", format(IJE_table1_filted$count, big.mark = ","), "<br>",
"Income: ", format(IJE_table1_filted$income, big.mark = "," ), "<br>")
)%>%
# addCircles(lng = IJE_table1_filted$lon, lat = IJE_table1_filted$lat, weight = 2, radius = sqrt(IJE_table1_filted$income)*5,opacity = 1.0, fillOpacity = 0.5, fillColor = "transparent",
# color="red", label = labels_inc, highlightOptions = highlightOptions(color = "white", weight = 3,
# bringToFront = TRUE), group="Income")%>%
addLegend(position ="topright", pal = pal_count_PR$pal, values = seriesvar,
opacity = 1, title = seriestitle, na.label = "No Data")%>%
# addLayersControl( overlayGroups = c("Income"),
# options = layersControlOptions(collapsed = TRUE, autoZIndex=TRUE)) %>%
addScaleBar(position = "bottomleft", options = scaleBarOptions(imperial = FALSE))
# atl_map <- ggplot() + geom_sf(data=simple_pr_shapefile$geometry[2:4],fill='white') + theme_bw() +
# theme(panel.grid.major=element_blank(),panel.grid.minor=element_blank(),
# axis.title.x=element_blank(),axis.text.x=element_blank(),axis.ticks.x=element_blank(),
# axis.title.y=element_blank(),axis.text.y=element_blank(),axis.ticks.y=element_blank(),
# plot.margin=unit(c(0,0,0,0),"cm"))
#
# canada_map +
# geom_rect(xmin=1200000,xmax=3450000,ymin=-2500000,ymax=-500000) +
# annotation_custom(ggplotGrob(atl_map),xmin=1200000,xmax=3450000,ymin=-2500000,ymax=-500000)