Package index • silviculture

Biomass & Volume Assessment

Functions for estimating forest biomass and volume

silv_biomass(): Calculate Tree Biomass

silv_volume(): Calculate Tree Volume

Structural forest metrics

Calculate key forest inventory metrics like basal area, dominant height, and tree count, as well as analyzing tree size distribution and stand spacing

silv_basal_area(): Calculates Basal Area

silv_diametric_class(): Classify diameters in classes

silv_dominant_height(): Calculates the dominant height

silv_lorey_height(): Calculates Lorey's Height

silv_ntrees_ha(): Calculates number of trees per hectare

silv_spacing_index(): Hart or Hart-Becking spacing index

silv_sqrmean_diameter(): Calculates the squared mean diameter

silv_summary(): Calculates a bunch of forest metrics

Inventory Sample Size

Calculate and explore forest inventory sample size

silv_sample_size(): Calculates sample size for a random sampling inventory

LiDAR metrics

Extract and calculate forest structural metrics using LiDAR data

lid_fcov(): Calculate Forest Fraction Cover from LiDAR Data

lid_lhdi(): LiDAR-derived Height Diversity Index (LHDI)

Data

Datasets included in the package

biomass_models: Biomass models

inventory_samples: Forest inventory samples

Objects

S7 classes

Inventory(): Inventory class

SampleSize(): SampleSize class

plot(): Plot an object