pre_comput_NN: pre_comput_NN: Precompute quantities for SLGP basis...

In SLGP: Spatial Logistic Gaussian Process for Field Density Estimation

pre_comput_NN: Precompute quantities for SLGP basis evaluation with nearest-neighbor interpolation

Description

Computes intermediate quantities for evaluating SLGP basis functions using Nearest Neighbor (NN) interpolation over a regular grid in the normalized domain.

Usage

pre_comput_NN(
  normalizedData,
  predictorNames,
  responseName,
  nIntegral = 101,
  nDiscret = 51
)

Arguments

normalizedData	A normalized data frame (values in [0,1]).
predictorNames	Character vector of covariate names.
responseName	Name of the response variable.
nIntegral	Number of grid points for discretizing the response domain.
nDiscret	Number of grid points for discretizing the covariate domain.

Value

A list of intermediate quantities used in SLGP evaluation:

• nodes: grid of response × covariates,

• indNodesToIntegral: response bin indices,

• indSamplesToNodes: sample-to-node index mapping,

• weightSamplesToNodes: equal weights for NN interpolation.

SLGP documentation built on Sept. 9, 2025, 5:25 p.m.