capacity_noise_reg: Noise Regulation Capacity Model

View source: R/capacity_noise_reg.R

capacity_noise_regR Documentation

Noise Regulation Capacity Model

Description

Runs the noise regulation ecosystem service model, generating capacity scores based on the ability of vegetation to reduce noise pollution.

Usage

capacity_noise_reg(
  x = parent.frame()$mm,
  studyArea = parent.frame()$studyArea,
  res = 5,
  short = 30,
  local = 300,
  threshold = 500,
  use_hedges = FALSE,
  projectLog = parent.frame()$projectLog,
  runtitle = parent.frame()$runtitle,
  save = NULL
)

Arguments

x

A basemap, in a list of sf tiles or as one sf object. Must have attribute HabCode_B.

studyArea

The boundaries of the site, as one sf object. The final raster will be masked to this shape. For best results this shape should be smaller than the basemap (which should be buffered by typically 300 m - 1km to avoid edge effects).

res

Desired resolution of the raster. Default is 5 m. Range recommended is 5-10m.

short

Radius (m) for focal statistics at short range. Default is 30 m.

local

Radius (m) for focal statistics at local range (maximum distance for effectiveness). Default is 300 m.

threshold

Size (m2) below which an isolated patch is not considered able to provide the service. Default is 500 m2.

use_hedges

Use a separate hedgerow layer? Default FALSE, see clean_hedgerows() for producing a model-ready hedge layer.

projectLog

The RDS project log file generated by the wizard app and containing all file paths to data inputs and model parameters

runtitle

A customised title you can give a specific model run, which will be appended to your project title in the outputs. If comparing a basemap to an intervention map, we recommend using "pre" and "post", or a short description of the interventions, e.g. "baseline" vs "tree planting".

save

Path to folder where outputs will be saved. By default a folder will be created using your chosen run title, prefixed by "services_". Do not use this argument unless you need to save the outputs somewhere else.

Value

Two rasters with capacity scores: one with raw scores (arbitrary units), and one rescaled 0-100 (where 100 is maximum capacity for the area).


ecoservR/ecoserv_tool documentation built on April 5, 2025, 1:49 a.m.