Analyse GPS Data


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Documentation for package ‘psyosphere’ version 0.1.6

Help Pages

psyosphere-package psyosphere details
about documentation psyosphere documentation guideline
about functions psyosphere functions guideline
about_analysing_tips Guide how to analyse GPS data
about_common_mistakes Tips to prevent common mistakes
about_demos Explanation how the demo files can be accessed
apply_shift Copy columns and offset the index of the copied column
apply_tracks Run function on each track in a psyo data frame
average_coordinates Calculates the mean position of coordinates within a time interval.
average_duplicates Correct coordinates with the same time
des_duplicates Count duplicates within each track
des_first Get first value within each track
des_last Get last value within each track
des_length Get the number of coordinates within each track
des_max Get the highest value within each track
des_mean Calculate normal and weighted means while excluding gaps in data
des_min Get the lowest value within each track
des_sd Calculate normal and weighted sds while excluding gaps in data
des_sum Calculates sum for each track
des_summary Creates a data frame with a summary of descriptive information for each track
dir_add_csv Bind CSV data to data frame
dir_get_gpx Read GPX files from directory into data frame.
distance_line Add shortest distance to a line
distance_peers Add distance to peers
distance_point Add the distances to a point from each coordinate
distance_psyo Add distance to another track in psyo format
distance_to_direct_line Add deviation from shortest route from begin of track to a line
export_gpx Export tracks as gpx files
export_kml Export tracks as kml files
mark_gap_segments Adding column with segment names between gaps
mark_inside_polygon Mark coordinates within a polygon
mark_speed_gaps Mark speeds that exceed a certain speed limit as gaps
mark_time_gaps Mark segments between data gaps
plot_line Plot line on map
plot_map Get a Google map
plot_polygon Plot polygon on map
plot_tracks Plot tracks on a map
psyo Example how data should be formatted.
psyo_geomean Example data to demonstrate the geomean function
psyo_rounds GPS example of walking in circles
psyo_rounds2 GPS example with 3 selected rounds
psyo_rounds_map Map for data psyo_rounds and psyo_rounds2
select_between_polygons Select tracks between two polygons.
select_gaps Select all coordinates with a gap
select_test_sample Select a sample from each track
select_without_gaps Select all coordinates without gap
t_bearing Add bearings
t_distance Add distance to next coordinate
t_speed Add speed
t_time_difference Add time difference column for weighted statistics
val_cname Validate the column name of a data frame
val_psyo Validate psyo format
val_var Validate variables