Flight Path Monitoring Package

This package provides an analysis of flight paths over legal habitat areas for tenure holders. It determines the time and distance spent in each habitat area.

Installation

Requirements

R base version 4.2.0 or greater.
R package terra version 1.6.41 or greater.

remotes::install_github("bcgov/flight-path-monitoring")

Flight path analysis

library(flight.path.monitoring)

Performing the analysis

system.file("flight.tar.gz", package = "flight.path.monitoring") |>
  untar(exdir = tempdir())

analysis <- file.path(tempdir(), "flight.gpx") |> read_flight() |> process_flight()

Other parameters such as maximal elevation can also be provided. See ?process_flight help page for details.

Visualising the analysis

Flight analysis summary

analysis

> analysis
   flight_id                  name        in_uwr          high      moderate           low           all filename
1:         1 Monday Morning Flight 30.88603 secs 552.8839 secs 1067.137 secs 4040.597 secs 5691.504 secs   flight

Plot the flight analysis

plot(analysis)

plot(analysis, backend = "ggplot2")

Processing a folder of flights

f <- list.files("./data-raw/Heli data", pattern = "gpx$|kml$", recursive = TRUE, full.names = TRUE)

analysis <- f |> read_flight() |> process_flight(geom_out = FALSE)

analysis

> analysis
     flight_id                     name          in_uwr             high         moderate             low              all                       filename
  1:         1 Tuesday Afternoon Flight  28.869984 secs 11807.83021 secs 121975.7258 secs 1494.63335 secs 135307.0594 secs                      01-Feb-22
  2:         2   Tuesday Morning Flight   0.000000 secs  3270.91282 secs    161.5443 secs  177.57013 secs   3610.0273 secs                      01-Mar-22
  3:         3 Wednesday Morning Flight   3.394391 secs  3781.81731 secs   5164.4627 secs 2023.00128 secs  10972.6757 secs                      02-Mar-22
  4:         4  Thursday Morning Flight  62.918563 secs  4329.35738 secs   6884.8993 secs 2367.56422 secs  13644.7394 secs                      03-Mar-22
  5:         5  Saturday Morning Flight 164.694805 secs  7999.55302 secs   3262.6721 secs 4119.25519 secs  15546.1752 secs                      05-Feb-22
 ---                                                                                                                                                     
246:       246    Sunday Morning Flight  57.035988 secs   699.97372 secs   1101.1453 secs 3375.13108 secs   5233.2861 secs 20220417-151457-0029060-141724
247:       247   Tuesday Morning Flight   0.000000 secs    59.38758 secs    595.4419 secs 6898.46269 secs   7553.2921 secs 20220419-151732-0015173-141724
248:       248 Wednesday Morning Flight  11.764096 secs   320.49865 secs   5114.8330 secs 1179.95549 secs   6627.0512 secs 20220420-152042-0030454-141724
249:       249  Thursday Morning Flight   0.000000 secs    21.07283 secs    198.5443 secs  352.59609 secs    572.2132 secs 20220421-152429-0030741-141724
250:       250    Friday Morning Flight   0.000000 secs    35.99603 secs   1114.6335 secs   91.78273 secs   1242.4123 secs 20220422-155759-0006006-141724

Use Shiny app to interact with package

shiny::runApp("./app")

Progress report (Windows or non-parallel processing)

On Windows OS or when options("flight.path.monitoring.use.parallel" = FALSE), both read_flight and process_flight can report progress using the progressr package framework.

library(progressr)
with_progress(fligths <- sample(f, 10) |> read_flight())
with_progress(analysis <- fligths |> process_flight())

bcgov / flight-path-monitoring

readme