Function reference • bccamtrap

All functions

bccamtrapp(): Launch Shiny app

fill_spi_template(): Write all data to a new SPI submission file

fill_spi_template_ff(): Write data to a new SPI submission file from field form data

make_deployments(): Create a spatial data frame of deployments

make_sample_sessions(): Identify distinct sample sessions from timelapse image data

map_stations(): Visualize stations on an interactive map

merge_deployments_images(): Merge image data with deployment data

plot_deployment_detections(): Plot image timestamps over deployment periods

plot_deployments(): Plot timelines of image deployments

plot_diel_activity(): Plot daily activity of species detected by motion detection

plot_snow(): Plot snow depths across deployments

qa_deployment_images(): Check for mismatched deployment labels in deployment data and image data

qa_image_data(): Perform a series of QA checks on the Timelapse Image data

qa_stations_spatial(): Check spatial attributes of Sample Station information

rai_by_time(): Calculate RAI over a window of time, optionally rolling

read_cam_setup_checks(): Read the "Camera Setup and Checks" tab from the RISC worksheet.

read_camera_info(): Read the "Camera Information" tab from the RISC worksheet.

read_deployments_csv(): Read csv output from deployments field form

read_image_data(): Read image data from a collection of csvs from TimeLapse

read_project_info(): Read project-level data from the RISC worksheet 'Project Information' tab

read_sample_station_csv(): Read csv output from sample station field form

read_sample_station_info(): Read the "Sample Station Information" tab from the RISC worksheet.

sample_rai(): Calculate Relative Activity Index (RAI)

to_sf(): Convert Sample Station Info or Camera Info to a spatial sf boject #'

write_image_data(): Write image data to a csv file

write_to_spi_sheet(): Write a single data frame to SPI submission template