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Last updated: 2019-09-20
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Knit directory: WeatherData/
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| Rmd | 0b1b705 | dtbukowski | 2019-09-20 | Start workflowr project. |
Here is my analysis of the NOAA tornado data.
list.files(".")[1] "_workflowr.yml" "analysis" "code"
[4] "data" "docs" "output"
[7] "README.md" "WeatherData.Rproj"filesNames <- Sys.glob("data/*.csv")
filesNames[1][1] "data/StormEvents_details-ftp_v1.0_d1950_c20170120.csv"dat <- read.csv(filesNames[1],stringsAsFactors=FALSE)
head(dat) BEGIN_YEARMONTH BEGIN_DAY BEGIN_TIME END_YEARMONTH END_DAY END_TIME
1 195004 28 1445 195004 28 1445
2 195004 29 1530 195004 29 1530
3 195007 5 1800 195007 5 1800
4 195007 5 1830 195007 5 1830
5 195007 24 1440 195007 24 1440
6 195008 29 1600 195008 29 1600
EPISODE_ID EVENT_ID STATE STATE_FIPS YEAR MONTH_NAME EVENT_TYPE
1 NA 10096222 OKLAHOMA 40 1950 April Tornado
2 NA 10120412 TEXAS 48 1950 April Tornado
3 NA 10104927 PENNSYLVANIA 42 1950 July Tornado
4 NA 10104928 PENNSYLVANIA 42 1950 July Tornado
5 NA 10104929 PENNSYLVANIA 42 1950 July Tornado
6 NA 10104930 PENNSYLVANIA 42 1950 August Tornado
CZ_TYPE CZ_FIPS CZ_NAME WFO BEGIN_DATE_TIME CZ_TIMEZONE
1 C 149 WASHITA NA 28-APR-50 14:45:00 CST
2 C 93 COMANCHE NA 29-APR-50 15:30:00 CST
3 C 77 LEHIGH NA 05-JUL-50 18:00:00 CST
4 C 43 DAUPHIN NA 05-JUL-50 18:30:00 CST
5 C 39 CRAWFORD NA 24-JUL-50 14:40:00 CST
6 C 17 BUCKS NA 29-AUG-50 16:00:00 CST
END_DATE_TIME INJURIES_DIRECT INJURIES_INDIRECT DEATHS_DIRECT
1 28-APR-50 14:45:00 0 0 0
2 29-APR-50 15:30:00 0 0 0
3 05-JUL-50 18:00:00 2 0 0
4 05-JUL-50 18:30:00 0 0 0
5 24-JUL-50 14:40:00 0 0 0
6 29-AUG-50 16:00:00 0 0 0
DEATHS_INDIRECT DAMAGE_PROPERTY DAMAGE_CROPS SOURCE MAGNITUDE
1 0 250K 0 NA 0
2 0 25K 0 NA 0
3 0 25K 0 NA 0
4 0 2.5K 0 NA 0
5 0 2.5K 0 NA 0
6 0 2.5K 0 NA 0
MAGNITUDE_TYPE FLOOD_CAUSE CATEGORY TOR_F_SCALE TOR_LENGTH TOR_WIDTH
1 NA NA NA F3 3.4 400
2 NA NA NA F1 11.5 200
3 NA NA NA F2 12.9 33
4 NA NA NA F2 0.0 13
5 NA NA NA F0 0.0 33
6 NA NA NA F1 1.0 33
TOR_OTHER_WFO TOR_OTHER_CZ_STATE TOR_OTHER_CZ_FIPS TOR_OTHER_CZ_NAME
1 NA NA NA NA
2 NA NA NA NA
3 NA NA NA NA
4 NA NA NA NA
5 NA NA NA NA
6 NA NA NA NA
BEGIN_RANGE BEGIN_AZIMUTH BEGIN_LOCATION END_RANGE END_AZIMUTH
1 0 NA NA 0 NA
2 0 NA NA 0 NA
3 0 NA NA 0 NA
4 0 NA NA 0 NA
5 0 NA NA 0 NA
6 0 NA NA 0 NA
END_LOCATION BEGIN_LAT BEGIN_LON END_LAT END_LON EPISODE_NARRATIVE
1 NA 35.12 -99.20 35.17 -99.20 NA
2 NA 31.90 -98.60 31.73 -98.60 NA
3 NA 40.58 -75.70 40.65 -75.47 NA
4 NA 40.60 -76.75 NA NA NA
5 NA 41.63 -79.68 NA NA NA
6 NA 40.22 -75.00 NA NA NA
EVENT_NARRATIVE DATA_SOURCE
1 NA PUB
2 NA PUB
3 NA PUB
4 NA PUB
5 NA PUB
6 NA PUBdatT1 <- data.frame
length(filesNames)[1] 69get_storm_event_table <- function (filename,event) {
dat <- read.csv(filename,stringsAsFactors=FALSE)
dat <- transform(dat,
lat = round(BEGIN_LAT),
long = round(BEGIN_LON))
if (event == "Tornado")
dat <- subset(dat,EVENT_TYPE == event & (TOR_F_SCALE == "F5" | TOR_F_SCALE == "F4" | TOR_F_SCALE == "F3"))
else if(event != "All"){
dat <- subset(dat,EVENT_TYPE == event)
}
dat <- transform(dat,
lat = factor(lat,-14:63),
long = factor(long,-171:-65))
return(table(dat$lat,dat$long))
}
makeplot <- function(low,high,event){
low <- (low - 1949)
high <- (high - 1949)
datT <- get_storm_event_table(filesNames[low],event)
for (i in (low+1):high){
print(i)
datT = datT + get_storm_event_table(filesNames[i],event)
}
datTframe1 <- data.frame(lat = as.vector(matrix(as.numeric(colnames(datT)),78,107,byrow=TRUE)),
long = as.vector(matrix(as.numeric(rownames(datT)),78,107,byrow=FALSE)),
count = as.vector(datT^(.5)))
datTplot1 <- ggplot(datTframe1, aes(x = lat, y = long, color = count)) +
geom_path(data = map_data("state"),aes(x = long,y = lat,group = group),
color = "black") +
geom_point(size = 2) +
scale_color_gradient2(low = "darkgreen",high = "magenta",mid = "skyblue") +
theme_minimal()
return(datTplot1)
}
library(maps)
library(ggplot2)
makeplot(1950,1960,"All")[1] 2
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sessionInfo()R version 3.6.0 (2019-04-26)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Mojave 10.14.5
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.2.1 maps_3.3.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.1 knitr_1.23 whisker_0.3-2 magrittr_1.5
[5] workflowr_1.4.0 munsell_0.5.0 colorspace_1.4-1 rlang_0.4.0
[9] stringr_1.4.0 highr_0.8 tools_3.6.0 grid_3.6.0
[13] gtable_0.3.0 xfun_0.7 withr_2.1.2 git2r_0.26.1
[17] htmltools_0.3.6 lazyeval_0.2.2 yaml_2.2.0 rprojroot_1.3-2
[21] digest_0.6.19 tibble_2.1.3 crayon_1.3.4 fs_1.3.1
[25] glue_1.3.1 evaluate_0.14 rmarkdown_1.13 labeling_0.3
[29] stringi_1.4.3 pillar_1.4.2 compiler_3.6.0 scales_1.0.0
[33] backports_1.1.4 pkgconfig_2.0.2