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#Load move and moveVis packages
library(move)
library(moveVis)
#Get the sample data from the moveVis package (a data.frame)
data("move_data")
move_data$dt <- as.POSIXct(strptime(move_data$dt, "%Y-%m-%d %H:%M:%S", tz = "UTC"))
#Create moveStack object including multiple individuals from the data.frame
#alternatively, use the move package to download data directly from movebank.org
data_ani <- move(move_data$lon, move_data$lat, proj=CRS("+proj=longlat +ellps=WGS84"),
time = move_data$dt, animal=move_data$individual, data=move_data)
#Find the command or directory to convert tool of ImageMagick
conv_dir <- get_imconvert()
#Specify the output directory, e.g.
out_dir <- "/out/test"
#or to a temporary directory:
out_dir <- paste0(tempdir(),"/test")
dir.create(out_dir)
#Specify some optional appearance variables
img_title <- "Movement of the white stork population at Lake Constance, Germany"
img_sub <- paste0("including individuals ",paste(rownames(idData(data_ani)), collapse=', '))
img_caption <- "Projection: Geographical, WGS84; Sources: Movebank 2013; Google Maps"
#Call animate_move() with an automatic basemap from Google, maximum frames at 50
animate_move(data_ani, out_dir, conv_dir, tail_elements = 10,
paths_mode = "true_data", frames_nmax = 50,
img_caption = img_caption, img_title = img_title,
img_sub = img_sub, log_level = 1, extent_factor = 0.0002)
#Improve your animation by adding a static points layer
static_data <- data.frame(x = c(8.94,8.943), y = c(47.75,47.753), names = c("Site 1","Site 2"))
#Call animate_move() with "static_data" added
animate_move(data_ani, out_dir, conv_dir, tail_elements = 10,
paths_mode = "true_data", frames_nmax = 50,
img_caption = img_caption, img_title = img_title,
img_sub = img_sub, log_level = 1, extent_factor = 0.0002,
static_data=static_data)
#Try a different paths_mode: Instead of "true_data" use "simple"
animate_move(data_ani, out_dir, conv_dir, tail_elements = 10,
paths_mode = "simple", frames_nmax = 50,
img_caption = img_caption, img_title = img_title,
img_sub = img_sub, log_level = 1, extent_factor = 0.0002,
static_data=static_data)
#Use your own basemap by adding lists of rasters and of timestamps
data("basemap_data")
layer = basemap_data[[1]] #this is a example MODIS NDVI dataset
layer_dt = basemap_data[[2]] #this is a corresponding date/time list
#Call animate_move with NDVI data as basemap
#layer_type is "gradient", since NDVI values are continuous
animate_move(data_ani, out_dir, conv_dir, tail_elements = 10, layer_type = "gradient",
paths_mode = "true_data", frames_nmax = 50, layer =layer, layer_dt = layer_dt,
img_caption = img_caption, img_title = img_title,
img_sub = img_sub, log_level = 1, extent_factor = 0.0002)
#How do your moving individuals interact with their environments?
#Use "stats_create" to create statistics plots
animate_move(data_ani, out_dir, conv_dir, tail_elements = 10, layer_type = "gradient",
paths_mode = "true_data", frames_nmax = 50, layer =layer, layer_dt = layer_dt,
img_caption = img_caption, img_title = img_title,
img_sub = img_sub, log_level = 1, extent_factor = 0.0002,
stats_create = TRUE)
#If you just want those stats plots, use animate_stats()
#Use "frames_layout" to change the layout of your GIF
#e.g. change the position of st_all and st_per
frames_layout <- rbind(c("map","map","map","st_all","st_leg"),
c("map","map","map","st_per","st_leg"))
#or equalize the sizes of spatial map and stats plots
frames_layout <- rbind(c("map","st_all","st_per","st_leg"))
animate_move(data_ani, out_dir, conv_dir, tail_elements = 10, layer_type = "gradient",
paths_mode = "true_data", frames_nmax = 50, layer =layer, layer_dt = layer_dt,
img_caption = img_caption, img_title = img_title,
img_sub = img_sub, log_level = 1, extent_factor = 0.0002,
stats_create = TRUE, frames_layout=frames_layout)
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