Considering the advantages and constraints of each type of measurement is helpful in choosing appropriate measurement methods at varying spatial and temporal scales.
This article focuses on remote sensing case studies of protected areas (PAs) encompassing diverse ecosystems around the world using a wide variety of methods at varying spatiotemporal scales.
Studies have used random subsampling to propose guidelines for future experiments (Black et al., 2014; Liu et al., 2014), to perform a survey of different RNA-Seq analysis methods at varying read depths (Labaj et al., 2011; Liu et al., 2013; Rapaport et al., 2013), or to demonstrate that they had achieved adequate read depth (Daines et al., 2011; Toung et al., 2011; Wang et al., 2011).
Convergence results for finite differences and Fourier spectral methods are at varying α are displayed in Figure 1 ((a-b)), respectively.
The classification performance of the two methods is tested at varying sizes of training sets.
Results for the different methods and datasets, at varying degrees of topological distances used for the guidescore are shown in Supplementary Figures S8 S10.
Biodegradation experiments were carried out using shake flask method for anthracene bioremediation at varying concentrations (250, 500 , 750mg/L) using microbial consortium isolated from petrochemical contaminated soil.
Similarly, we examined the ability of each mapping method to detect genes at varying evolutionary distances.
The presence of a SSc-associated antibody without any other autoantibody detectable by the methods used was found at varying frequencies, being highest for anti-PM-Scl (73.8%) and lower for, for example, anti-centromere (33.9%) and anti-fibrillarin (33.3%) (see Table 3).
Here we report an extensive simulation study that compares the two existing confidence interval estimation methods to our proposed method when using composite interval mapping at varying marker densities and at varying distances from the nearest genetic marker to the simulated QTL positions.
