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48 changes: 24 additions & 24 deletions nash-zero-shiny/app.R
Original file line number Diff line number Diff line change
Expand Up @@ -538,33 +538,33 @@ adjust_map_df <- function(df_nashmap, syn_permits_orig, debris_proj){
mutate(total_debris_mean = total_debris_mean*new_over_old)
}

# Load forecast and permits
forecast <- read_feather("shiny-data/best_forecast.feather")
syn_permits_orig <- read_feather("shiny-data/syn_permit_summary.feather")
df_nashmap_orig <- read_feather("shiny-data/map_summary.feather")

# adjust syn_permits to get fractional values averaged over years
syn_permits_summ <- adjust_permit_summ(syn_permits_orig)

# Load projections for debris from historical fit (made in 44-2)
debris_proj <- read_feather("shiny-data/debris_projections.feather")

# Extract root-mean-square-percentage error from training
rmspe <- debris_proj$rmspe[1]

# adjust debris values in map for each subtype to scale to debris_proj
df_nashmap <- adjust_map_df(df_nashmap_orig, syn_permits_orig, debris_proj)

# prepare map
setwd("shiny-data/shape")
district <- readOGR(dsn = ".",
layer = "nashville-tn-council-districts",
verbose = FALSE)
district_latlon <- spTransform(district, CRS("+proj=longlat +datum=WGS84"))

#------------------------------------------------------------------------------#
server <- function(input, output, session) {

# Load forecast and permits
forecast <- read_feather("shiny-data/best_forecast.feather")
syn_permits_orig <- read_feather("shiny-data/syn_permit_summary.feather")
df_nashmap_orig <- read_feather("shiny-data/map_summary.feather")

# adjust syn_permits to get fractional values averaged over years
syn_permits_summ <- adjust_permit_summ(syn_permits_orig)

# Load projections for debris from historical fit (made in 44-2)
debris_proj <- read_feather("shiny-data/debris_projections.feather")

# Extract root-mean-square-percentage error from training
rmspe <- debris_proj$rmspe[1]

# adjust debris values in map for each subtype to scale to debris_proj
df_nashmap <- adjust_map_df(df_nashmap_orig, syn_permits_orig, debris_proj)

# prepare map
setwd("shiny-data/shape")
district <- readOGR(dsn = ".",
layer = "nashville-tn-council-districts",
verbose = FALSE)
district_latlon <- spTransform(district, CRS("+proj=longlat +datum=WGS84"))

#----------------------------------------------------------------------------#
# Nashville map
output$nashmap <- renderLeaflet({
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