Continuing research will help to clarify which problems should be addressed with big data versus small data, which big data problems should be addressed by sampling, and which analytic techniques are most appropriate.
Firstly, landscapes are dynamic, with an inherent spatial and temporal heterogeneity in the natural and human systems that must be addressed by sampling design in order to provide un-biased estimates of wildlife abundance at ecological meaningful scales [8] [10].
The question of connectivity was addressed by sampling a powerline servitude, which is a potential corridor through the area.
This problem has been addressed by sampling the output of a numerical ocean model to simulate typical oceanographic surveys of mesoscale fronts.
Specificity of sequence was addressed by sampling 1,000 random sequences of the same length as the native sequence (with equal probability of drawing any amino acid), threading each one through the native conformation, and obtaining from these the distribution of scores G seq.
Reaching this objective can be addressed by sample allocation in an area to obtain a restricted objective function.
While ideally situations of low data availability would be addressed by increased sampling, this is not always possible due to economic, temporal or other constraints, and the shortage of high-quality species occurrence data requires the development of improved modelling frameworks, with targeted modifications to deal with specific problems (Lomba et al. 2010; Vicente et al. 2011).
This can only be addressed by collecting samples from subjects at first presentation for peripheral studies, and in postmortem studies by careful analysis of patient data and comparison with the known effects of antidepressant medication.
Wellbore and air contamination pose separate challenges in the design of groundwater monitoring strategies on CAFOs that are not addressed by equipment sterilization, but require adequate QA/QC procedures and can be addressed by the proposed sampling strategy.
In contrast to our analysis using Bayesian inference (BI), ML associates Malawimonadozoa with JEH (77% BS), a tendency noted and discussed previously [ 20, 41], and an issue to be addressed by better taxon sampling in this group (currently, data are available from only two species).
The objectives of area estimation and map accuracy assessment can be addressed by the same sample data.
