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This chapter considers autonomic wireless sensor networks (WSNs) to detect and monitor spatiotemporally dynamic events, which dynamically scatter along spatiotemporal dimensions, such as oil spills, chemical/gas dispersions, and toxic contaminant spreads.
Linear regressions between total woody detritus stocks and TMAX and PRECIP indicated tremendous data scatter along with very weak R-square's (< 0.1) (RMSE TMAX model = 7.386; RMSE PRECIP model = 7.529) (Figs. 2, 3).
For the Channel Storey Axis unit with a large scatter along the unit 1 slope line Open image in new window Fig. 12 Log log plot of RQI_ (overline{{R_{text{tot}} }}) versus ϕ z indicating improved R 2 of 78% for the modified RQI over 31% for the Channel Storey Axis unit.
If plotted points fall above the diagonal line in Figure 1, then herbivores tend to prefer exotics, below the diagonal indicates a preference for natives, and a scatter along the diagonal indicates no consistent preference.
The log-log plot aligns the scatter along the line of unity.
Each crystallite with a specific Ω value will create scatter along 2θ that will contribute to the fringing and to 2θB.
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Overnight shelters are scattered along the way.
Bison scattered along the landscape of Yellowstone National Park.
Farm territories are scattered along the gradient.
Dwarf mistletoes occur scattered along conifer limbs and small branches.
Small sawmills are scattered along the northern coast.
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