sim.data

The <code>sim.data</code> dataset consists of three <code>sf</code> objects:<ul>
<li><code>sim.data[[1]]</code>: 41 sampling units. The sampling attribute is <code>Value</code>.</li>
<li><code>sim.data[[2]]</code>: A zonation map with 4 strata that serves as a candidate SSH layer.</li>
<li><code>sim.data[[3]]</code>: 7 reporting units.</li>
</ul>

Spatial prediction is a common practice in social and environmental science. This package enables the implementation of SSH-based spatial prediction proposed by Wang et al. (2013) <doi:10.1068/a44710>. It provides functions to (1) evaluate stratification schemes, (2) interpolate sampling data over user-defined reporting units, (3) assess prediction uncertainties, and (4) evaluate overall accuracy using the k-fold cross-validation estimate.

Yue Lin 

sandwichr

Spatial Prediction Based on Spatial Stratified Heterogeneity

sim.data: Simulated data

Description

Arguments

Examples