Abstract
1) I investigated the quantitative method analysing vegetation according to the theory of small samples.2) It is recognized by most investigators that we ought to use the random sampling in our field survey, but we often based its method on subjective randomizaton.3) Sampling error is controlled by vegetational homogeneity and sampling ratio. And I could not compare several sampling methods by means of sampling error.4) The best stratification is the worst clusterization. Those order is expressed by coefficient of interclass correlation (ρ') and also the quality of sampling method is decided by the coefficient.5) The stratification by means of a dominant does not coincide with the one by means of the whole physiognomy.The latter is better.6) The significance of difference between several sampling methods is indicated by analysis of variance.Relative number of sampling units required for a given accuracy according to samling methods is calculated from average comparable variance.
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Claims 7
Claim · model-written summary
Sampling error depended on vegetation homogeneity and sampling ratio.
Not reportedSettingDirection
Verbatim
e0“Sampling error is controlled by vegetational homogeneity and sampling ratio”
Claim · model-written summary
The author could not compare sampling methods by sampling error.
- Outcome
- compare several sampling methods by means of sampling errore0
- Comparator
- several sampling methodse0
Not reportedTaxon
Verbatim
e0“I could not compare several sampling methods by means of sampling error”
Claim · model-written summary
Stratification quality and clustering were inversely ordered.
Not reportedTaxon
Verbatim
e0“The best stratification is the worst clusterization”
Claim · model-written summary
Interclass correlation coefficient expressed the ordering and determined sampling-method quality.
Not reportedTaxon
Verbatim
e0“Those order is expressed by coefficient of interclass correlation (ρ') and also the quality of sampling method is decided by the coefficient”
Claim · model-written summary
Stratification by whole physiognomy was better than stratification by a dominant.
- Outcome
- the one by means of the whole physiognomye0
- Direction
- bettere0
- Comparator
- stratification by means of a dominante0
Not reportedTaxon
Verbatim
e0“The stratification by means of a dominant does not coincide with the one by means of the whole physiognomy.The latter is better”
Claim · model-written summary
Analysis of variance indicated differences among sampling methods.
- Outcome
- significance of difference between several sampling methodse0
- Comparator
- several sampling methodse0
Not reportedTaxon
Verbatim
e0“The significance of difference between several sampling methods is indicated by analysis of variance”
Claim · model-written summary
Relative sampling-unit requirements for a given accuracy were calculated from comparable variance.
Not reportedTaxon
Verbatim
e0“Relative number of sampling units required for a given accuracy according to samling methods is calculated from average comparable variance”