Forest Inventory Glossary

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(S)
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;[[Inclusion probability|Selection probability]]
 
;[[Inclusion probability|Selection probability]]
 
:Probability that a unique set of ''k'' population units is selected as sample based on the actual plot design. In case that ''k''=1 similar to the [[inclusion probability]].
 
:Probability that a unique set of ''k'' population units is selected as sample based on the actual plot design. In case that ''k''=1 similar to the [[inclusion probability]].
 +
 +
;[[Plot_design#Spatial_autocorrelation|Spatial autocorrelation]]
 +
:Or: "Self-correlation" describes the relationship between two observations of the same variable, taken at two different objects or times.
  
 
;[[Simple_random_sampling#Notations_used|Standard Error]]
 
;[[Simple_random_sampling#Notations_used|Standard Error]]

Revision as of 13:41, 24 March 2011

Content A B C D E F G H I J K L M N O P Q R S T U V W X Y Z


A

Areal sampling frame
The sampling frame or continuum (area) from which dimensionless samples points are selected.

B

C

Cluster plot
Sample plot that is composed of unconnected sub plots.As the subplots are not selected independently, a cluster gives only one observation.

D

DBH
Diameter at breast height (1.3 meter).

E

Expansion factor
Reciprocal of the inclusion probability. The factor with which observations have to be multiplied to derive an estimate of the total (or per hectare).

F

G

H

I

Inclusion probability
Probability that a single population unit is included in a sample based on the actual plot design.

J

K

L

M

N

O

P

R

S

Sample plot
A certain area or "decision rule", defining which population units are to be included at each sample point.
Selection probability
Probability that a unique set of k population units is selected as sample based on the actual plot design. In case that k=1 similar to the inclusion probability.
Spatial autocorrelation
Or: "Self-correlation" describes the relationship between two observations of the same variable, taken at two different objects or times.
Standard Error
Standarddeviation of the sample means.

T

U

V

W

X

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