extended_range

<p>Computes an extended numeric range that includes all elements from three
numeric vectors: x, y, z. The range is extended by 10\
range on both sides</p>

internal

Provides an accessible and robust implementation of core BME
methodologies for spatial prediction. It enables the systematic integration
of heterogeneous data sources including both hard data (precise
measurements) and soft interval data (bounded or uncertain observations)
while incorporating prior knowledge and supporting variogram-based spatial
modeling. The BME methodology is described in Christakos (1990)
<doi:10.1007/BF00890661> and Serre and Christakos (1999)
<doi:10.1007/s004770050029>.

Kinspride Duah

BMEmapping

Spatial Interpolation using Bayesian Maximum Entropy (BME)

Yan Sun

extended_range function

Computes an extended numeric range that includes all elements from three
numeric vectors: x, y, z. The range is extended by 10\
range on both sides — extended_range

Computes an extended numeric range that includes all elements from three
numeric vectors: x, y, z. The range is extended by 10\
range on both sides

extended_range: Computes an extended numeric range that includes all elements from three numeric vectors: x, y, z. The range is extended by 10\ range on both sides

Description

Usage

Arguments