psyo: Example how data should be formatted.

In psyosphere: Analyse GPS Data

Description

Example how data in psyosphere should be formatted.

Usage

data(psyo)

Format

A data frame with 15 observations on the following 5 variables.

id

A character or numeric vector. Id for each unique track.

p_id

A character or numeric vector. Unique by time sorted ID for every coordinate within a track.

time

A POSIXct. Date and time of the coordinate.

lon

A numeric vector. Longitude of a coordinate in degree.

lat

A numeric vector. Latitude of a coordinate in degree.

Details

The example data contain three different tracks ("01.gpx", "02.gpx", "03.gpx") and 5 observations / coordinates for each track.

The data frame should at least contain the variables mentioned above. Additional columns can be added. Where possible the package will preserve these columns.

See Also

val_psyo

Examples

## Not run: 
# Simple example ---------------------------------------------------------------

data(psyo)
print(psyo)

# Result:
#
#     id p_id                time     lon      lat
# 01.gpx    0 2016-06-19 12:37:53 4.93078 52.31003
# 01.gpx    1 2016-06-19 12:37:58 4.93038 52.30985
# 01.gpx    2 2016-06-19 12:38:08 4.92958 52.30953
# 01.gpx    3 2016-06-19 12:38:18 4.92803 52.30883
# 01.gpx    4 2016-06-19 12:38:28 4.92652 52.30800
# 02.gpx    0 2016-06-19 11:28:25 4.93580 52.31450
# 02.gpx    1 2016-06-19 11:28:38 4.93580 52.31450
# 02.gpx    2 2016-06-19 11:32:03 4.93580 52.31450
# 02.gpx    3 2016-06-19 11:32:13 4.93580 52.31450
# 02.gpx    4 2016-06-19 11:32:28 4.93580 52.31450
# 03.gpx    0 2016-06-20 10:17:08 5.00828 52.35005
# 03.gpx    1 2016-06-20 10:17:18 5.00843 52.35010
# 03.gpx    2 2016-06-20 10:17:28 5.00847 52.35028
# 03.gpx    3 2016-06-20 10:17:43 5.00847 52.35028
# 03.gpx    4 2016-06-20 10:17:53 5.00847 52.35028

# How to create a geodata data frame from scratch -------------------------------

id <- c("01.gpx", "01.gpx", "01.gpx", "01.gpx", "01.gpx",
        "02.gpx", "02.gpx", "02.gpx", "02.gpx", "02.gpx",
        "03.gpx", "03.gpx", "03.gpx", "03.gpx", "03.gpx")

p_id <- c(0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4)

time <- c("2016-06-19 12:37:53", "2016-06-19 12:37:58", "2016-06-19 12:38:08",
          "2016-06-19 12:38:18", "2016-06-19 12:38:28",
          "2016-06-19 11:28:25", "2016-06-19 11:28:38", "2016-06-19 11:32:03",
          "2016-06-19 11:32:13", "2016-06-19 11:32:28",
          "2016-06-20 10:17:08", "2016-06-20 10:17:18", "2016-06-20 10:17:28",
          "2016-06-20 10:17:43", "2016-06-20 10:17:53")

lon <- c(4.93078, 4.93038, 4.92958, 4.92803, 4.92652,
         4.93580, 4.93580, 4.93580, 4.93580, 4.93580,
         5.00828, 5.00843, 5.00847, 5.00847, 5.00847)

lat <- c(52.31003, 52.30985, 52.30953, 52.30883, 52.30800,
         52.31450, 52.31450, 52.31450, 52.31450, 52.31450,
         52.35005, 52.35010, 52.35028, 52.35028, 52.35028)

psyo <- data.frame(id, p_id, time, lon, lat)
psyo <- as.POSIXct(psyo$time)

remove(id, p_id, time, lon, lat)

print(psyo)

## End(Not run)

psyosphere documentation built on July 2, 2020, 12:08 a.m.