16EAGLE

# use moveVis >= 0.10.2 for this example
library(moveVis)
library(move)
library(plyr)

# get example data. align movement to unique times and regular resolution
data("move_data")
m.aligned <- align_move(move_data, res = 4, unit = "mins")

# let's create some fake continous variable by splitting the moveStack into single tracks

16EAGLE

# use moveVis >= 0.10.2 for this example (does not work with CRAN version 0.10.1)
# remotes::install_github("16eagle/moveVis")

library(moveVis)
library(move)
data("move_data")

# align movement to unique times and regular resolution
m <- align_move(m = move_data, digit = 0, res = 4, unit = "mins")

16EAGLE

# use moveVis >= 0.10.2 for this example (does not work with CRAN version 0.10.1)
# remotes::install_github("16eagle/moveVis")

library(magrittr)
library(move)
library(moveVis)
data("move_data")

m <- align_move(move_data, res = 4, unit = "mins")

16EAGLE

# use moveVis >= 0.10.1 for this example

library(moveVis)
library(move)

data("move_data")

# align movement to unique times and regular resolution
m.aligned <- align_move(move_data, res = 4, unit = "mins")
m.split <- split(m.aligned)

16EAGLE

library(moveVis)
library(move)
library(ggplot2)

data("move_data", "basemap_data")
m <- align_move(move_data, res = 4, unit = "mins")

## create frames using mapbox base map
frames <- frames_spatial(m, map_type = "satellite", map_service = "mapbox", map_token = "YOUR_VERY_LONG_TOKEN",
                         path_legend = T)

16EAGLE

# this example uses internal functions since there are no user functions yet to do this

library(moveVis)
data("move_data")

m <- align_move(move_data, res = 4, unit = "mins")

# m must be aligned, check (returns an error, if m is not aligned, does nothing, if m is aligned)
moveVis:::.time_conform(m)
# if you are certain, m is the same variable you used with frames_spatial, you can remove line 9

16EAGLE

library(moveVis)
library(move)
library(ggplot2)
data("move_data")

# align movement to unique times and regular resolution
m <- align_move(move_data, res = 4, unit = "mins")

# some path colours by individual
m.list <- split(m) # split m into list by individual