Function reference
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sampling_areas - Areas of interest where sampling points were generated
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sampling_forests - Sub-areas of interest where sampling points were generated
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sampling_points - Sampling points where animal surveys were conducted
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animal_surveys - Animal surveys conducted at sampling points
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animal_observations - Animal observation records from point surveys
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points_landscape - Sampling points with landscape data summarised at multiple buffer radii
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random_pt_gen() - Randomly generate sampling points within a supplied area
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filter_observations() - Filter animal observations based on specified criteria
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tally_observations() - Tally number of species observations based on specified criteria
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check_taxongrps() - Check taxon-group-level records in survey data
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calculate_sac() - Extract species accumulation curves based on specified criteria
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exclude_simulator() - Simulate multiple scenarios with animal surveys randomly excluded
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get_buildings_osm() - Get building polygons from OpenStreetMap
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get_roads_osm() - Get road lines from OpenStreetMap
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mosaic_sen2r() - Create mosaics of Sentinel-2 images downloaded via the sen2r package
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classify_image_binary() - Binary classification of a single-band image based on a threshold value
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threshold_otsu() - Calculate pixel value threshold of a single-band image via Otsu's method
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calc_manual() - Calculate metrics based on manually generated data at point locations
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calc_lsm() - Calculate landscape metrics at point locations
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calc_osm() - Calculate metrics based on OpenStreetMap data at point locations
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calc_specific_lsm() - Calculate specific landscape metrics at point locations
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calc_specific_osm() - Calculate specific metrics from OpenStreetMap data at point locations
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generate_grid() - Generate regular grid of spatial points within target area of interest
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predict_heatmap() - Generate continuous raster of spatial predictions
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validate_newdata() - Validate the accuracy of provided models using new data from animal surveys