bc.data

The <code>bc.data</code> dataset consists of two data frames:<ul>
<li><code>bc.data[[1]]</code>: Breast cancer incidence at 242 sampling units in mainland China, where the SSH stratum (<code>SSHID</code>) and reporting unit (<code>GBCODE</code>) that each sample falls into are specified. The sampling attribute is <code>Incidence</code>.</li>
<li><code>bc.data[[2]]</code>: The county-level administrative divisions in mainland China (<code>GBCODE</code>), where the weights of each intersecting stratum (<code>W1</code> and <code>W2</code>) are specified.</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

bc.data: Breast cancer incidence in mainland China

Description

Arguments

Examples