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Free sign upThe phrase "ancillary variable" is correct and usable in written English.
It is typically used in statistical or research contexts to refer to a variable that is not the primary focus of study but may still have an effect on the outcome.
Example: "In our analysis, we found that the ancillary variable had a significant impact on the results, even though it was not the main variable of interest."
Alternatives: "secondary variable" or "supplementary variable".
Exact(5)
The second is a fuzzy variogram for topsoil organic carbon content in a field, based on the crisp variogram of a related ancillary variable and generalized information on topsoil variability at field scales.
Here we proposed the variance quadtree algorithm for sampling in an area with prior information represented as ancillary or secondary environmental data, and the covariance structure of the ancillary variable is non-stationary.
Therefore, the plot-ID corresponding to the imputed aboveground tree biomass reference observations mapped by [29] was itself mapped as an ancillary variable for this study.
Table 6 AP2 summary table: SW T was used as ancillary variable to estimate the SW NC or the SW C input data Approach (a) (b) (c) (d) Eq. (6) Eq. (6) + difference Eq. (6) + Const.
Therefore, the plot-ID corresponding to the imputed aboveground tree biomass reference observations mapped by [ 29] was itself mapped as an ancillary variable for this study.
Similar(55)
These methods usually infer the fine-scale variability in soil moisture using variations in ancillary variables like topographic attributes that have relationships to soil moisture.
The model captured the variability in emergency department visits due to several factors by including nine ancillary variables in addition to wildfire PM concentration.
The data dictionary for all indicators and ancillary variables are accessible via the data set landing page.
A rule-based model was fitted to identify the influence of drainage and ancillary variables.
A second is the use of a simple predictive linear model of the target soil property on the ancillary variables.
Further researches of methods combined with ancillary variables are needed to be implemented to improve the interpolation performance.
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