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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