02_leaflet_helis.Rmd

---
title: "Analyzing flight paths with Leaflet"
author: "Andrew Ba Tran"
date: "6/23/2020"
output: html_document
---

```{r setup, warning=F, message=F}
library(tidyverse)
library(leaflet)
library(lubridate)
library(sf)

# Load processed geojson of data
points <- read_sf("data/heli_points.geojson")

# Adjust knots to miles per hour

points$speed <- points$speed * 1.15


points_dc <- points %>% 
  mutate(day=day(timestamp)) %>% 
  mutate(hour=hour(timestamp)) %>% 
  mutate(minute=minute(timestamp)) 

# filtering to June 1
points_dc1 <- points_dc %>% 
  filter(day==1)

# filtering to June 2 before 4 am
points_dc2 <- points_dc %>% 
  filter(day==2) %>% 
  filter(hour<4) 

# joining June 1 and June 2
points_dc <- rbind(points_dc1, points_dc2)

# Set up popup window
points_dc$pop <- paste0("<b>", points_dc$code.x, "</b><br />",
                        points_dc$timestamp, "<br />Altitude: ",
                        points_dc$altitude_adjusted, "<br />Speed: ",
                        points_dc$speed)

# Some custom colors
cof <- colorFactor(c("#e41a1c", "#377eb8",
                     "#4daf4a", "#984ea3",
                     "#ff7f00", "#ffff33", "#a65628", "#f781bf",
                     "#6a3d9a"), 
                   domain=c("A1DFFB", "AC9AB0",
                            "AC9BAE", "ADA908",
                            "ADD817", "AE1F45",
                            "A4D827", "AE1FE3", "AE0BED"))
```

## Flight paths of 9 aircraft

```{r map, warning=F, message=F, fig.width=9, fig.height=6}
# generating a leaflet map

m <- leaflet(points_dc) %>% 
  addProviderTiles(providers$CartoDB.DarkMatter) %>% 
  setView( -77.033768, 38.899123, zoom = 10) %>% 
  addCircleMarkers(popup=points_dc$pop, weight = 3, radius=2, 
                   color=~cof(code.x), stroke = F, fillOpacity = 0.7) 
m

```


```{r map1, warning=F, message=F, fig.width=9, fig.height=6}
points_dc <- points %>% 
  filter(code.x=="AE1F45" | code.x=="AE1FE3" | code.x=="AE0BED") %>% 
  mutate(day=day(timestamp)) %>% 
  mutate(hour=hour(timestamp)) %>% 
  mutate(minute=minute(timestamp)) #%>% 
  #filter(altitude_adjusted<=250) # if you want to focus only on the low altitude spots

# filtering to June 1
points_dc1 <- points_dc %>% 
  filter(day==1)

# filtering to June 2 before 4 am
points_dc2 <- points_dc %>% 
  filter(day==2) %>% 
  filter(hour<4) 

# joining June 1 and June 2
points_dc <- rbind(points_dc1, points_dc2)

# Set up popup window
points_dc$pop <- paste0("<b>", points_dc$code.x, "</b><br />",
                        points_dc$timestamp, "<br />Altitude: ",
                        points_dc$altitude_adjusted, "<br />Speed: ",
                        points_dc$speed)

# Some custom colors
cof <- colorFactor(c("#ffff33",  "#f781bf","#6a3d9a"), 
                   domain=c("AE1F45", "AE1FE3", "AE0BED"))
```


## Lakotas and a Black Hawk

The Black Hawk data is too inaccurate but we're including it for context.

```{r map1_map, warning=F, message=F, fig.width=9, fig.height=6}
m <- leaflet(points_dc) %>% 
  addProviderTiles(providers$CartoDB.DarkMatter) %>% 
  setView( -77.033768, 38.899123, zoom = 12) %>% 
  addCircleMarkers(popup=points_dc$pop, weight = 3, radius=2, 
                   color=~cof(code.x), stroke = F, fillOpacity = 0.7) 
m

```


```{r map2, warning=F, message=F, fig.width=9, fig.height=6}
points_dc <- points %>% 
  filter(code.x=="AE1F45" | code.x=="AE1FE3") %>% 
  mutate(day=day(timestamp)) %>% 
  mutate(hour=hour(timestamp)) %>% 
  mutate(minute=minute(timestamp)) %>% 
  filter(altitude_adjusted<=250) 

# filtering to June 1
points_dc1 <- points_dc %>% 
  filter(day==1)

# filtering to June 2 before 4 am
points_dc2 <- points_dc %>% 
  filter(day==2) %>% 
  filter(hour<4) 

# joining June 1 and June 2
points_dc <- rbind(points_dc1, points_dc2)

# Set up popup window
points_dc$pop <- paste0("<b>", points_dc$code.x, "</b><br />",
                        points_dc$timestamp, "<br />Altitude: ",
                        points_dc$altitude_adjusted, "<br />Speed: ",
                        points_dc$speed)

# Some custom colors
cof <- colorFactor(c( "#f781bf","#6a3d9a"), 
                   domain=c("AE1F45", "AE1FE3"))
```

## Two Lakotas when they flew lower than 250 feet


```{r map2_map, warning=F, message=F, fig.width=9, fig.height=6}

m <- leaflet(points_dc) %>% 
  addProviderTiles(providers$CartoDB.DarkMatter) %>% 
  setView( -77.033768, 38.899123, zoom = 13) %>% 
  addCircleMarkers(popup=points_dc$pop, weight = 3, radius=2, 
                   color=~cof(code.x), stroke = F, fillOpacity = 0.7) 
m

```


```{r map3, warning=F, message=F, fig.width=9, fig.height=6}
points_dc <- points %>% 
  filter(code.x=="AE1F45" | code.x=="AE1FE3" | code.x=="AE0BED") %>% 
  mutate(day=day(timestamp)) %>% 
  mutate(hour=hour(timestamp)) %>% 
  mutate(minute=minute(timestamp)) #%>% 
  #filter(altitude_adjusted<=250) # if you want to focus only on the low altitude spots

# filtering to June 1
points_dc1 <- points_dc %>% 
  filter(day==1) %>% 
  filter(hour==21) %>% 
  filter(minute>=50 & minute<=59)

# filtering to June 2 before 4 am
points_dc2 <- points_dc %>% 
  filter(day==1) %>% 
  filter(hour==22) %>% 
  filter(minute>=0 & minute<=10)

# joining June 1 and June 2
points_dc <- rbind(points_dc1, points_dc2)

# Set up popup window
points_dc$pop <- paste0("<b>", points_dc$code.x, "</b><br />",
                        points_dc$timestamp, "<br />Altitude: ",
                        points_dc$altitude_adjusted, "<br />Speed: ",
                        points_dc$speed)

# Some custom colors
cof <- colorFactor(c("#ffff33",  "#f781bf","#6a3d9a"), 
                   domain=c("AE1F45", "AE1FE3", "AE0BED"))
```


## Lakotas and a Black Hawk between 9:50 p.m. and 10:10 p.m.

The Black Hawk data is too inaccurate but we're including it for context.

```{r map3_map, warning=F, message=F, fig.width=9, fig.height=6}
m <- leaflet(points_dc) %>% 
  addProviderTiles(providers$CartoDB.DarkMatter) %>% 
  setView( -77.033768, 38.899123, zoom = 14) %>% 
  addCircleMarkers(popup=points_dc$pop, weight = 3, radius=2, 
                   color=~cof(code.x), stroke = F, fillOpacity = 0.7) 
m

```

## Altitude and time chart between 9:50 p.m. and 10:10 p.m.

```{r chart, warning=F, message=F, fig.width=9, fig.height=4}
ggplot(points_dc, aes(x=timestamp, y=altitude_adjusted, color=code.x)) +
  geom_line() +
  theme_minimal() +
  labs(title="Approximate altitude of helicopters between 9:50 and 10:10 p.m.")


```