He divided the study area into 50,000 tetrahedral cells, or pyramid-like structures, that would sense velocity and pressure in three dimensions, and simulated an 8-gallon-a-minute flow of water for 30 seconds.
We then divided the study population in quartiles of base deficit.
We divided the study population into three different groups based upon the duration of urinary monitoring.
To examine the spatial distribution of ΣM0, we divided the study area into 0.4 × 0.4 degree grids.
They divided the study area into three subregions with lateral scales of (sim 15 ^circ) (western, middle, and eastern parts).
Using GIS technology, they divided the study area into grids of different sizes and each grid was seen as an independent slope.
Furthermore, we divided the study period's environmental flow regimes into four scenarios (high, intermediate, low, and extremely low flow regimes), which correspond to different environmental flow management strategies.
Here we divided the study area into sub-regions of different land cover and elevation ranges, assuming that the reaction of vegetation to precipitation depends on altitude and vegetation type (Reed et al. 2009).
For statistical purposes we divided the study sample into four groups: Lower lingual (A1 to A5) Lower Labial (A6 to A9), Upper lingual (B1 to B5) and Upper labial (B6 to B9), as shown in Table 2.
We then divided the study area into 0.02° × 0.02° × 2 km blocks and selected the single earthquake in each block with the largest number of observations, which yielded a uniform distribution of earthquakes.
We further divided the study area into four depth ranges of 0 to 2 km, 2 to 4 km, 4 to 6 km, and > 6 km, resulting in 80 subvolumes.
