| zberg {forestinventory} | R Documentation |
Data from a multiphase forest inventory at the zurichberg (zurich), switzerland
Description
A dataset from 1991 containing 1203 sample plots observations from a forest inventory using cluster-sampling. The large phase comprises 298 clusters. Terrestrial information of the stem number as well as the basal area is available for a systematic subsample of 73 clusters. Auxiliary information at all 2103 sample plots were derived by stand maps. Originally the inventory was carried out as a twophase inventory and has been artificially extended to a threephase inventory for demonstration purposes.
Usage
zberg
Format
data frame with 1203 rows and 12 columns
Details
clustercluster identification. Maximum number of sample plots per cluster is 5.phase_id_2pphase-membership of each observation for the twophase inventory. The first phase is indicated by1, the second (i.e. terrestrial) phase by2.phase_id_3pthe phase-membership of each observation for the threephase inventory, i.e. the first phase (0), the second phase (1) and third (terrestrial) phase (2). Note: The threephase sample scheme was artificially created for demonstration purposes of thethreephase-functions.stadedevelopment stage at sample plot location based on the stand map. Categorical variable of classfactorwith 4levels.melangedegree of mixture at sample plot location based on the stand map. Categorical variable of classfactorwith 2levels.couvercrown-coverage at sample plot location based on the stand map. Categorical variable of classfactorwith 2levels.stemstem number derived at field survey.basalbasal area derived at field survey.ismallg23indicator for small area 2 and 3 for each observation.ismalloldindicator for small area 1 for each observation.
Source
Data provided by D.Mandallaz
References
Mandallaz, Daniel (1991). A unified approach to sampling theory for forest inventory based on infinite population and superpopulation models. http://dx.doi.org/10.3929/ethz-a-000585900
Mandallaz, Daniel (1993). Geostatistical methods for double sampling schemes. application to combined forest inventories. Chair of Forest Inventory and Planning, Swiss Federal Institute of Technology (ETH). http://dx.doi.org/10.3929/ethz-a-000943897