---
title: "ie2miscdata: Map of Southeastern USA Engineering Weather Sites"
author: "Irucka Embry, E.I.T. (EcoC²S)"
date: "`r Sys.Date()`"
lang: en-us
urlcolor: blue
output:
  rmarkdown::pdf_document:
    highlight: kate
    toc: true
    latex_engine: xelatex
vignette: >
  %\VignetteIndexEntry{ie2miscdata Map of Southeastern USA Engineering Weather Sites}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

\bigskip

# Creating a ggplot2 Map of the Southeastern USA Engineering Weather Sites

```{r, warning = FALSE, message = FALSE, out.width = "100%", out.height = "100%"}
install.load::load_package("ie2miscdata", "USA.state.boundaries", "data.table", "ggplot2", "sf", "spatstat.geom")
# load needed packages using the load_package function from the install.load package (it is assumed that you have already installed these packages)


data(weather_results)
# load the weather_results data (containing the site information for USA weather stations)

data(state_boundaries_wgs84)
# load the state_boundaries_wgs84 data from USA.state.boundaries (for the USA map)


## Weather Results

weather_results_map <- copy(weather_results)
# copy the weather_results using data.table

setnames(weather_results_map, 3:4, c("lat", "lon"))
# set the names of columns 3 and 4 using data.table

weather_results_map_sf <- st_as_sf(weather_results_map, coords = c("lon", "lat"), crs = "+proj=longlat +datum=NAD83")
# set the initial projection to longlat using sf

weather_results_map_sf_projected <- st_transform(weather_results_map_sf, "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +datum=NAD83 +units=m +no_defs +ellps=GRS80 +towgs84=0,0,0")
# transform the coordinates to match those of the USA_state_boundaries_map data from USA.state.boundaries.data (formerly in USA.state.boundaries)


## Southeast region

# subset all southeastern states from state_boundaries_wgs84
southeast <- subset(state_boundaries_wgs84, NAME %in% c("Kentucky", "Florida", "North Carolina", "South Carolina", "Alabama", "Mississippi", "Louisiana", "Georgia", "Virginia", "Tennessee"))
# Source 1

southeast_projected <- st_transform(southeast, "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +datum=NAD83 +units=m +no_defs +ellps=GRS80 +towgs84=0,0,0")
# transform the coordinates to match those of the USA_state_boundaries_map data from USA.state.boundaries.data (formerly in USA.state.boundaries)


# As different methods using sf failed to subset the weather map points within the Southeastern USA, the weather results geometry was subsetted so that spatstat.geom could be used to determine this information

weather_results_map_dt <- as.data.table(st_coordinates(weather_results_map_sf_projected))
# transform the coordinates only to a data.table

setnames(weather_results_map_dt, c("X", "Y"), c("lon", "lat"))
# set the names of columns X and Y using data.table


southeast_owin <- spatstat.geom::as.owin(southeast_projected)
# transform to Window



inside_southeast <- which(spatstat.geom::inside.owin(weather_results_map_dt$lon, weather_results_map_dt$lat, southeast_owin))
# determine which locations are within the borders of the Southeastern USA
# Source 2


weather_results_keep <- weather_results[inside_southeast, ]
# keep only the locations within the Southeastern USA

weather_results_map_keep <- copy(weather_results_keep)
# create a data.table copy of the sites that are kept

setnames(weather_results_map_keep, 3:4, c("lat", "lon"))
# set the names of columns 3 and 4 using data.table

weather_results_map_keep_sf <- st_as_sf(weather_results_map_keep, coords = c("lon", "lat"), crs = "+proj=longlat +datum=WGS84 +ellps=WGS84")
# set the projection to longlat using sf

# plot the map using ggplot2
p <- ggplot() + geom_sf(data = southeast, colour = "black", fill = "white")
p <- p + geom_sf(data = weather_results_map_keep_sf, colour = "#3591d1")
p <- p + labs(x = "", y = "", title = "Southeast USA Engineering Weather Sites Map")
print(p)
```

\bigskip
\bigskip

# Sources

Latitude Longitude Coordinates to State Code in R - Stack Overflow answered by Josh O'Brien on Jan 6 2012 and edited by Josh O'Brien on Jun 18, 2020. See https://stackoverflow.com/questions/8751497/latitude-longitude-coordinates-to-state-code-in-r.  

R-sig-geo - Problem in converting SpatialPolygonsDataFrame to owin object Answer by Roger Bivand on Sep 15, 2006. See https://stat.ethz.ch/pipermail/r-sig-geo/2006-September/001313.html.  

\bigskip
\bigskip

# EcoC^2^S Links

EcoC²S Home -- https://www.ecoccs.com/  
About EcoC²S -- https://www.ecoccs.com/about_ecoc2s.html  
Services -- https://www.ecoccs.com/services.html  
1 Stop Shop -- https://www.ecoccs.com/other_biz.html  
Products -- https://www.questionuniverse.com/products.html  
Media -- https://www.ecoccs.com/media.html  
Resources -- https://www.ecoccs.com/resources.html  
R Trainings and Resources provided by EcoC²S (Irucka Embry, E.I.T.) -- https://www.ecoccs.com/rtraining.html  

\bigskip
\bigskip

# Copyright and License

All R code written by Irucka Embry is distributed under the GPL-3 (or later) license, see the [GNU General Public License {GPL} page](https://www.gnu.org/licenses/gpl-3.0.html).  

All written content originally created by Irucka Embry is copyrighted under the Creative Commons Attribution-ShareAlike 4.0 International License. All other written content retains the copyright of the original author(s).  

This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).  
