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 (<DOI:10.1201/9781584889779>), 2013 (<DOI:10.1139/cjfr-2012-0381>, <DOI:10.1139/cjfr-2013-0181>, <DOI:10.1139/cjfr-2013-0449>, <DOI:10.3929/ethz-a-009990020>) and 2016 (<DOI:10.3929/ethz-a-010579388>). 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.
|Author||Andreas Hill [aut, cre], Alexander Massey [aut], Daniel Mandallaz [ctb]|
|Date of publication||2016-07-06 16:04:39|
|Maintainer||Andreas Hill <email@example.com>|
|License||GPL (>= 2)|
confint: Calculates Confidence Intervals for Global and Small-Area...
forestinventory: forestinventory: A package for computing design-based...
grisons: Data from a multiphase forest inventory in the canton of...
summary: Summarizing Global and Small-Area Estimation Results
zberg: Data from a multiphase forest inventory at the zurichberg...