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An alternative data stratification procedure is described here for the identification of different response functions in agricultural ecosystems.
Cover class-specific thresholds were derived for each of the four methods using a previously developed NRB-LC classification (1998 1999) to support data stratification.
However, for optimal results, the ANN model with randomized data stratification is preferred.
The authors experimented with two data stratification strategies: fixed and random.
Figure 1 Outline of ALS and optical remote sensing data stratification method.
The ANN models with randomized data stratification gave better predictions than those with fixed stratification.
Similar(32)
Using occupational choice data from Thai villages I find evidence that the saving only regime is rejected in favor of regimes allowing for borrowing and/or insurance, especially in higher-wealth data stratifications.
The implementation of each of these models was carried out with fixed and random data stratifications as discussed in Sect.
Following the workflow outlined in Figure 1, rules were generated using different data stratifications.
The number of health outcomes associated with a given environmental chemical tended to decrease in later cycles (see Supplemental Material, Figure S2). Figure 2 illustrates the rules generated using the different data stratifications (sex and race/ethnicity), highlighting the diversity of the different strata.
This study demonstrated that even if no data on stratification and soil characteristics have been available, the information needed can be generated by the assistance of geologists with local knowledge.
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