find_stop_locations: Detects the stop locations from a time series of GPS...

In alesaccoia/alexr: Common routines and datasets for GIS and Big Data Research

Description

Returns a spatial data frame containing stop locations in lat/long, min and max time, from a spatial frame with lat/long (must have crs set to 4326, lat/long).

Usage

find_stop_locations(
  sdf,
  columnsToKeep = "",
  use_centroid = T,
  max_distance_mt = 30,
  min_elements_in_cluster = 2
)

Arguments

sdf	containing lat/long (crs = 4326)
columnsToKeep	chr vector containing the columns to keep for other purposes
use_centroid	wether to use the centroid or the last point for distance computation
max_distance_mt	the maximum distance moved before the algorithm stops clustering
min_elements_in_cluster	min close points that contribute to forming a cluster

Value

Returns a spatial data frame containing the summary for the clusters

Note

Possible extensions: - accuracy that gets lower when entering a building, allowing for clusters made by just one element - previous point computation based on a small movement from the centroid - could use speed information: whenever the speed is higher than walking speed, stop clustering

alesaccoia/alexr documentation built on Dec. 19, 2021, 12:26 a.m.