eBird Status and Trends divides space and time into variably sized "stixels" within which individual base models are fit. The process of stixelization is performed many times and the prediction at any given point is the median of the predictions from all the stixels that that point falls in. This function loads summary statistics for each stixel, for example, the size of the stixels, the number of observations within each stixel, and a suite of predictive performance metrics (PPMs) for the model fit within that stixel.
load_stixels(path, ext, return_sf = FALSE)
ebirdst_extent object; the spatiotemporal extent to filter the data to. The spatial component of the extent object must be provided in unprojected, latitude-longitude coordinates.
logical; whether to return an sf object of spatial points rather then the default data frame.
Data frame, or sf object if
return_sf = TRUE, containing stixel
summary data. Data are organized with one stixel per row and each stixel
identified by a unique
stixel_id, the centroid of each stixel in space
and time is specified by