forestinventory

R package forestinventory. Extensive global and small-area estimation procedures for multiphase forest inventories under the design-based Monte-Carlo approach are provided. The implementation includes estimators for simple and cluster sampling published by Daniel Mandallaz in 2007 (&lt;<a href=”http://dx.doi.org/10.1201/9781584889779”>doi:10.1201/9781584889779</a>&gt;), 2013 (&lt;<a href=”http://dx.doi.org/10.1139/cjfr-2012-0381”>doi:10.1139/cjfr-2012-0381</a>&gt;, &lt;<a href=”http://dx.doi.org/10.1139/cjfr-2013-0181”>doi:10.1139/cjfr-2013-0181</a>&gt;, &lt;<a href=”http://dx.doi.org/10.1139/cjfr-2013-0449”>doi:10.1139/cjfr-2013-0449</a>&gt;, &lt;<a href=”http://dx.doi.org/10.3929/ethz-a-009990020”>doi:10.3929/ethz-a-009990020</a>&gt;) and 2016 (&lt;<a href=”http://dx.doi.org/10.3929/ethz-a-010579388”>doi:10.3929/ethz-a-010579388</a>&gt;). It provides point estimates, their external- and design-based variances as well as confidence intervals. The procedures have also been optimized for the use of remote sensing data as auxiliary information.