Package index • sciCentRverse

Camera Trap Functions

A pipeline for estimating wildlife density from camera trap data using the time-in-front-of-camera (TIFC) method.

cam_get_op_days(): Get a dataframe of operational days for each camera
cam_summarise_op_by_season(): Summarise operational days by user-defined seasons
cam_consolidate_tags(): Consolidate per-image species tags into one row from a WildTrax main report
cam_obtain_n_gap_class(): Identify "N" gap boundaries where a NONE is found between animal images
cam_calc_time_by_series(): Calculate time-in-front-of-camera by series (in seconds)
cam_sum_total_time(): Summarise total time by project, location, species, and season (with op-days)
cam_extract_model_lookup(): Extract per-camera model ("hf2" / "pc900") from an image report
cam_calc_density_by_loc(): Calculate density at each location from seasonal time and EDD (with optional pooled fallback)

Functions for spatial data processing and map styling.

theme_science(): Minimal Theme for Scientific Plots
theme_science_map(): Minimal Theme for Scientific Map Plots
add_alberta_flag(): Add Alberta flag to a site data frame using precise boundaries

Miscellaneous data processing and helper functions.

estimate_processing_time(): Estimate Total Processing Time
extract_by_year(): Extract Raster Values by Year
format_time_diff(): Format Time Difference
load_most_recent_data(): Load the Most Recent Data File Dynamically
load_rdata_files(): Load .RData Files into a List
parallel_extract_directory(): Parallel Extraction of Raster Data Stored in a Directory
read_tifs_to_list(): Read TIF Files into a Named List
read_tifs_to_multiband(): Read TIF Files into a Multiband Raster Object
run_step(): Run a Pipeline Step with Logging
sample_blocks(): Sample a fraction of rows within blocks
select_one_response(): Select a single response column
select_species(): Select a Specific Species Column
set_terra_options(): Set Terra Options with Buffer
snake_case(): Convert Strings to Snake Case
style_active_file(): Style the Active R File
summarize_column_classes(): Generate a Data Frame of Column Classes