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functions.R
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functions.R
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# Testing
library("ggplot2")
library("cowplot")
library("devtools")
library("scales")
library("lubridate")
library("firebehavioR")
#install_github("BigelowLab/ndfd")
library("ndfd")
zipReturnDF <- function(zip, unitConvert){
inputQuery <- query_this(what = 'zipcodes', zipCodeList = zip, element = c('rh','temp','wspd'))
outputQuery <- NDFD(inputQuery)
ws <- outputQuery$data$get_data(name = "wind-speed")
rh <- outputQuery$data$get_data(name = "humidity")
tmp <- outputQuery$data$get_data(name = "temperature")
names(ws)[3] <- "windspeed"
names(rh)[3] <- "rh"
names(tmp)[3] <- "temp"
returnDF <- data.frame("dt" = ws$start_valid_time,"windspeed" = ws$windspeed,"rh" = rh$rh,"temp" = tmp$temp)
if(unitConvert == TRUE)
{
returnDF$windspeed <- returnDF$windspeed * 2.236936
returnDF$temp <- returnDF$temp * 1.8 + 32
}
return(returnDF)
}
latlongReturnDF <- function(lat, long, unitConvert){
inputQuery <- query_this(what = 'point', lon = long, lat = lat, element = c('rh','temp','wspd'))
outputQuery <- NDFD(inputQuery)
ws <- outputQuery$data$get_data(name = "wind-speed")
rh <- outputQuery$data$get_data(name = "humidity")
tmp <- outputQuery$data$get_data(name = "temperature")
names(ws)[3] <- "windspeed"
names(rh)[3] <- "rh"
names(tmp)[3] <- "temp"
returnDF <- data.frame("dt" = ws$start_valid_time,"windspeed" = ws$windspeed,"rh" = rh$rh,"temp" = tmp$temp)
if(unitConvert == TRUE)
{
returnDF$windspeed <- returnDF$windspeed * 2.236936
returnDF$temp <- returnDF$temp * 1.8 + 32
}
return(returnDF)
}
#test <- zipReturnDF(zips,unitConvert = TRUE)
interpolateTime <- function(DF,type){
if(type == "spline"){
rh <- data.frame(spline(DF$dt,DF$rh,method = "fmm", n = 500))
temp <- data.frame(spline(DF$dt,DF$temp,method = "fmm", n = 500))
ws <- data.frame(spline(DF$dt,DF$windspeed,method = "fmm", n = 500))
}
if(type == "linear"){
rh <- data.frame(approx(DF$dt,DF$rh,rule = 2, method = "linear", ties = mean, n = 1000))
temp <- data.frame(approx(DF$dt,DF$temp,rule = 2, method = "linear", ties = mean, n = 1000))
ws <- data.frame(approx(DF$dt,DF$windspeed,rule = 2, method = "linear", ties = mean, n = 1000))
}
names(rh) <- c("dt","rh")
names(temp) <- c("dt","temp")
names(ws) <- c("dt","windspeed")
returnDF <- merge(rh,temp,by="dt")
returnDF <- merge(returnDF, ws, by = "dt")
try(returnDF[which(returnDF$windspeed < 0),]$windspeed <- 0)
returnDF$dt <- as.POSIXct(returnDF$dt,origin = "1970-01-01")
returnDF$ffm <- ffm(method = "anderson",rh = returnDF$rh,temp = (returnDF$temp - 32)/1.8)$fm1hr
returnDF$ffm10 <- ffm(method = "anderson",rh = returnDF$rh,temp = (returnDF$temp - 32)/1.8)$fm10hr
returnDF$ffm100 <- ffm(method = "anderson",rh = returnDF$rh,temp = (returnDF$temp - 32)/1.8)$fm100hr
returnDF$ffmlitter <- ffm(method = "anderson",rh = returnDF$rh,temp = (returnDF$temp - 32)/1.8)$fmLitter
return(returnDF)
}
#testOutput <- interpolateTime(test,type = "spline")
#testOutput$dt <- with_tz(testOutput$dt, tzone = "MST")
diagPlot <- function(df,origDF){
library("cowplot")
RH <- ggplot(data = df, aes(x = dt, y = rh))+
geom_point(color = "gray")+
geom_point(data = origDF, aes(x = dt, y = rh), color="red")+
xlab("Date / Time")+
ylab("Relative Humidity (%)")
WS <- ggplot(data = df, aes(x = dt, y = windspeed))+
geom_point(color = "gray")+
geom_point(data = origDF, aes(x = dt, y = windspeed),color="red")+
xlab("Date / Time")+
ylab("Wind Speed (mph)")
tmp <- ggplot(data = df, aes(x = dt, y = temp))+
geom_point(color = "gray")+
geom_point(data = origDF, aes(x = dt, y = temp),color="red")+
xlab("Date / Time")+
ylab("Temperature (F)")
returnGrid <- plot_grid(RH, WS, tmp, labels = c('A', 'B', 'C'), label_size = 12)
return(returnGrid)
}
#diagPlot(testOutput,test)
data(fuelModels, fuelMoisture,coForest)
fxn_firebehavior <- function(inputDF, fuelModel, LH = 120, LW = 130){
fuelmodel_input <- fuelModels[fuelModel,]
exampCrownFuel <- data.frame(
CBD = rep(mean(coForest$cbd_kgm3),nrow(inputDF)),
FMC = 100,
CBH = rep(mean(coForest$cbh_m),nrow(inputDF)),
CFL = rep(mean(coForest$cfl_kgm2),nrow(inputDF))
)
fuelMoisture <- data.frame(inputDF$ffmlitter,
inputDF$ffm,
inputDF$ffm10,
inputDF$ffm100,
LH,
LW)
exampEnviro <- data.frame(
slope = 0,
windspeed = inputDF$windspeed * 1.609344,
direction = 0,
waf = 1
)
outputDF <- data.frame(FL = rep(NA,nrow(inputDF)),
ROS = rep(NA,nrow(inputDF)))
for(i in 1:nrow(inputDF)){
try(outputIn <- rothermel(surfFuel = fuelmodel_input,
moisture = fuelMoisture[i,],
crownFuel = exampCrownFuel[i,],
enviro = exampEnviro[i,]))
#print(str(outputIn))
try(
outputDF$FL[i] <- as.numeric(outputIn$fireBehavior$`Flame Length [m]`) * 3.2808)
try(
outputDF$ROS[i] <- as.numeric(outputIn$fireBehavior$`Rate of Spread [m/min]`) * 3.2808)
print(i)
}
combined <- cbind(inputDF,outputDF)
return(combined)
}
#testOutput2 <- fxn_firebehavior(testOutput, "GR3")
prescription <- function(df,tempHi = 75,tempLo = 50, windHi = 8, windLo = 3,rhHi = 40, rhLo = 20, ffmLo = 4, ffmHi = 8, flLo = 1, flHi = 3){
df$tempRx <- NA
df$windRx <- NA
df$rhRx <- NA
df$ffmRx <- NA
df$flRx <- NA
try(df[which(df$windspeed <= windHi & df$windspeed >= windLo),]$windRx <- "In Prescription")
try(df[which(is.na(df$windRx)),]$windRx <- "Out of Prescription")
try(df[which(df$temp <= tempHi & df$temp >= tempLo),]$tempRx <- "In Prescription")
try(df[which(is.na(df$tempRx)),]$tempRx <- "Out of Prescription")
try(df[which(df$rh <= rhHi & df$rh >= rhLo),]$rhRx <- "In Prescription")
try(df[which(is.na(df$rhRx)),]$rhRx <- "Out of Prescription")
try(df[which(df$ffm <= ffmHi & df$ffm >= ffmLo),]$ffmRx <- "In Prescription")
try(df[which(is.na(df$ffmRx)),]$ffmRx <- "Out of Prescription")
try(df[which(df$FL <= flHi & df$FL >= flLo),]$flRx <- "In Prescription")
try(df[which(is.na(df$flRx)),]$flRx <- "Out of Prescription")
return(df)
}
#test4 <- prescription(df = testOutput2)
rxPlot <- function(df,lat,long,rhHi,rhLo,wsHi,wsLo,tempHi,tempLo,ffmHi,ffmLo,flHi,flLo){
library("cowplot")
library("maptools")
# Calculate sunrise and sunset
#up <- sunriset(crds = matrix(c(lat,long),nrow = 1), dateTime = df$dt, direction="sunrise")
#print(head(up))
prescriptionWindow <- data.frame()
cols <- c("In Prescription" = "darkgreen", "Out of Prescription" = "gray")
RH <- ggplot(data = df, aes(x = dt, y = rh, color = rhRx))+
scale_colour_manual("RH Prescription", values = cols)+
annotate("rect",
xmin = min(df$dt,na.rm = T),
xmax = max(df$dt,na.rm = T),
ymin = rhLo,
ymax = rhHi,
alpha = .1,
color = "darkgreen",
fill = "darkgreen")+
# geom_hline(yintercept = rhHi)+
# geom_hline(yintercept = rhLo)+
geom_point()+
xlab("")+
ylab("Relative Humidity (%)")+
scale_x_datetime(labels = date_format("%F %H%M"),
date_breaks = "4 hours")+
theme(panel.grid.major.y = element_blank(), panel.grid.major.x = element_line(colour="lightgray", size=0.5))+
theme(axis.text.x=element_blank())
WS <- ggplot(data = df, aes(x = dt, y = windspeed, color = windRx))+
scale_colour_manual("Wind Prescription", values = cols)+
annotate("rect",
xmin = min(df$dt,na.rm = T),
xmax = max(df$dt,na.rm = T),
ymin = wsLo,
ymax = wsHi,
alpha = .1,
color = "darkgreen",
fill = "darkgreen")+
geom_point()+
xlab("")+
ylab("Wind Speed (mph)")+
scale_x_datetime(labels = date_format("%F %H%M"),
date_breaks = "4 hours")+
theme(panel.grid.major.y = element_blank(), panel.grid.major.x = element_line(colour="lightgray", size=0.5))+
theme(axis.text.x=element_blank())
tmp <- ggplot(data = df, aes(x = dt, y = temp, color = tempRx))+
scale_colour_manual("Temperature Prescription", values = cols)+
annotate("rect",
xmin = min(df$dt,na.rm = T),
xmax = max(df$dt,na.rm = T),
ymin = tempLo,
ymax = tempHi,
alpha = .1,
color = "darkgreen",
fill = "darkgreen")+
geom_point()+
xlab("")+
ylab("Temperature (F)")+
scale_x_datetime(labels = date_format("%F %H%M"),
date_breaks = "4 hours")+
theme(panel.grid.major.y = element_blank(), panel.grid.major.x = element_line(colour="lightgray", size=0.5))+
theme(axis.text.x=element_blank())
ffm <- ggplot(data = df, aes(x = dt, y = ffm, color = ffmRx))+
scale_colour_manual("1-hr Fuel Moisture Prescription", values = cols)+
annotate("rect",
xmin = min(df$dt,na.rm = T),
xmax = max(df$dt,na.rm = T),
ymin = ffmLo,
ymax = ffmHi,
alpha = .1,
color = "darkgreen",
fill = "darkgreen")+
geom_point()+
xlab("")+
ylab("1-hr Fuel Moisture (%)")+
scale_x_datetime(labels = date_format("%F %H%M"),
date_breaks = "4 hours")+
theme(panel.grid.major.y = element_blank(), panel.grid.major.x = element_line(colour="lightgray", size=0.5))+
theme(axis.text.x=element_blank())
FL <- ggplot(data = df, aes(x = dt, y = FL, color = flRx))+
scale_colour_manual("Flame Length Prescription", values = cols)+
annotate("rect",
xmin = min(df$dt,na.rm = T),
xmax = max(df$dt,na.rm = T),
ymin = flLo,
ymax = flHi,
alpha = .1,
color = "darkgreen",
fill = "darkgreen")+
geom_point()+
xlab("Date / Time")+
ylab("Flame Length (ft)")+
scale_x_datetime(labels = date_format("%F %H%M"),
date_breaks = "4 hours")+
theme(panel.grid.major.y = element_blank(), panel.grid.major.x = element_line(colour="lightgray", size=0.5))+
theme(axis.text.x = element_text(size = 10, angle = 60, hjust = 1))
returnGrid <- plot_grid(RH, WS, tmp, ffm, FL, label_size = 12,align = "v",ncol=1)
return(returnGrid)
}
#rxPlot(test4)