ADAPTIVE CLUSTER SAMPLING FOR FOREST INVENTORIES

被引：0
|
作者：
ROESCH, FA
机构：
来源：
FOREST SCIENCE | 1993年 / 39卷 / 04期
关键词：
FOREST HEALTH; BIODIVERSITY; SEQUENTIAL SAMPLING;
D O I：
暂无
中图分类号：
S7 [林业];
学科分类号：
0829 ; 0907 ;
摘要：
Adaptive cluster sampling is shown to be a viable alternative for sampling forests when there are rare characteristics of the forest trees which are of interest and occur on clustered trees. The ideas of recent work in Thompson (1990) have been extended to the case in which the initial sample is selected with unequal probabilities. An example is given in which the initial sample of trees is selected with probability proportional to tree basal area. If a characteristic of interest is observed on a sample tree, additional trees within a fixed distance of the sample tree are also included in the sample.
引用
收藏
页码：655 / 669
页数：15
相关论文
共 50 条
  • [1] Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories
    von Luepke, Nikolas
    Saborowski, Joachim
    [J]. EUROPEAN JOURNAL OF FOREST RESEARCH, 2014, 133 (01) : 89 - 100
  • [2] Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories
    Nikolas von Lüpke
    Joachim Saborowski
    [J]. European Journal of Forest Research, 2014, 133 : 89 - 100
  • [3] Generalizing systematic adaptive cluster sampling for forest ecosystem inventory
    Xu, Qing
    Stahl, Goran
    McRoberts, Ronald E.
    Li, Bo
    Tokola, Timo
    Hou, Zhengyang
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2021, 489
  • [4] Inventory of sparse forest populations using adaptive cluster sampling
    Talvitie, M
    Leino, I
    Holopainen, M
    [J]. SILVA FENNICA, 2006, 40 (01) : 101 - 108
  • [5] ESTIMATING PRECISION OF SYSTEMATIC SAMPLING IN FOREST INVENTORIES
    de Mello, Jose Marcio
    Scolforo, Henrique Ferraco
    Raimundo, Marcel Regis
    Soares Scolforo, Jose Roberto
    de Oliveira, Antonio Donizette
    Ferraz Filho, Antonio Carlos
    [J]. CIENCIA E AGROTECNOLOGIA, 2015, 39 (01): : 15 - 22
  • [6] ADAPTIVE CLUSTER SAMPLING
    THOMPSON, SK
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1990, 85 (412) : 1050 - 1059
  • [7] Comparing the efficiency of intensity-based forest inventories with sampling-error-based forest inventories
    Strimbu, Bogdan M.
    [J]. FORESTRY, 2014, 87 (02): : 249 - 255
  • [8] Evaluation of a plot sizes and sampling intensities in forest inventories
    Derci Augustynczik, Alan Lessa
    Machado, Sebastiao do A.
    Figueiredo Filho, Afonso
    Netto, Sylvio Pellico
    [J]. SCIENTIA FORESTALIS, 2013, 41 (99): : 361 - 368
  • [9] A two-phase sampling strategy for forest inventories
    Fattorini, L
    [J]. ADVANCES IN FOREST INVENTORY FOR SUSTAINABLE FOREST MANAGEMENT AND BIODIVERSITY MONITORING, 2003, 76 : 143 - 156
  • [10] TEST OF 3-P SAMPLING IN FOREST INVENTORIES
    BONNOR, GM
    [J]. FOREST SCIENCE, 1972, 18 (03) : 198 - &
12345