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CAfires<-read.csv("C:/Users/bcole/Documents/gisfire.csv")

head(CAfires)

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(ggplot2)
library(plotly)

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
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##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

ca_fires<- CAfires %>%
  mutate(acres_cumulative= cumsum(GIS_ACRES))
ca_fires

fires<- ggplot(ca_fires,aes( x = YEAR_, y = acres_cumulative)) +
  geom_line() +
  theme_classic() +
  scale_y_continuous(labels = scales::comma) +
  ylab("Acres Burned (cumulative)")+
  xlab("date") +xlim(1910,2020)
plot(fires)

## Warning: Removed 1341 rows containing missing values (geom_path).

annualfire<-ca_fires %>%
  group_by(YEAR_, ECOREGION_SECTION) %>%
  summarise(Yearlyacres = sum(GIS_ACRES))
annualfire

histogram<-ggplot(annualfire,aes(Yearlyacres))+geom_histogram(aes(y = ..count.., color = ..count.., fill=..count..), breaks=seq(0,2000000, by=100000))+ ggtitle("Acres Burned Annualy")+theme(plot.title = element_text(hjust=0.5))+ylab("# of years")+xlab("Annual Acres Burned") 
ggplotly(histogram)

## Warning: Removed 1 rows containing non-finite values (stat_bin).

options(scipen=10000)
annualfire<-ggplot(annualfire, aes(x=YEAR_, y=Yearlyacres, fill=Yearlyacres))+geom_bar(stat="identity")+ylab("Annual Fire Area (Acres)")+xlab("Year")+ggtitle("Burned Area by Year: California")+xlim(1910,2020)+facet_wrap(~ECOREGION_SECTION)
ggplotly(annualfire)

## Warning: Removed 26 rows containing missing values (position_stack).

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