Based on our results, we partition the studied assemblers into different classes based on the criteria of time, memory, and quality.
These survey methods work by partitioning the study area in some way, into strata, or primary sample units, or in the case of adaptive cluster sampling, into networks.
For practical purposes, some divisions of the subject are necessary e.g., by language (as the study of Kiowa or Provençal names) or by geographical, historical, or similar partitions (the study of the names in India, of the Levant at the time of the Crusades, and so forth).
We avoided software limitations by partitioning the study area into coarse-scale geologic provinces ([37]) and ran the model by province.
Then a tree-based model composed of nodes was fashioned by recursively partitioning the study cohort.
To prepare the LS zonation, we have partitioned the study area into slope-units (SU), hydrological terrain subdivision bounded by drainage and divide lines (Carrara et al. 1991).
We partitioned the study area into a treatment plot, which encompassed the artificial pool array along with a surrounding buffer zone of 10 m, and 14 adjacent control plots of equal size (60×70 m).
For QALYs and cost estimation, we partitioned the study time horizon in homogeneous subintervals (quarterly intervals) through the weighted regression mean cost, and QALYs were estimated within each interval and then summed across intervals to estimate mean total costs and QALYs.
After partitioning the study area into the sectors described above, the pre-treatment distributions of normalised S. mansoni egg counts were observed to vary significantly between sectors (F = 8.8, p =< 0.001) as were 1-year post-treatment IgG3 OD's against schizont antigen (F = 11.8 p < 0.001).
