The program incorporates data sets on solar radiance and uses an algorithm to determine the best configuration of solar panels, battery packs, and distribution wires to power the greatest number of houses at the lowest cost.
Therefore when incorporating diverse data sets such as seismic waveforms and geodetic displacements to recover the distribution of fault slip care is required to ensure that each data set is representative of the same physical process.
We extend a previously published approach for estimating iF, incorporating global data sets of demographic and meteorological parameters as model inputs.
The WASI algorithm incorporates ancillary data sets required to determine the depth of effective rainfall (i.e., rate of precipitation plus subsurface return flow, rate of evapotranspiration plus infiltration, duration of rainfall, depth of initial absorption to ground) and a priori information on surface and underground stormwater infrastructure into grid-based hydrologic analysis using a DEM.
Because netCDF is the standardized way to store gridded time-series climate data, it is fairly straightforward to incorporate additional data sets into the Climate Wizard framework.
CellMiner currently incorporates 15 data sets, and more are being added on a continuing basis.
In short, significant progress can be made on genome assembly if the experimental design prior to sequencing is modified such that positional information is incorporated into data sets.
ALE incorporates multiple data sets of published coordinates generated by different VBM studies of a given disorder, automatically identifying through a whole-brain activation likelihood map those statistically significant (i.e., the most consistent) brain differences reported across these studies [ 58- 60].
Results: We propose TileProbe, a new technique that builds upon the MAT algorithm by incorporating publicly available data sets to remove tiling array probe effects.
This research adds to the literature on air pollution modeling and exposure assessment by creating national LUR models from fixed-site monitoring data; incorporating various predictor data sets and methods to capture the different scales of pollution sources; and extending LUR modeling techniques to population exposure assessment and to informing surveillance, policy, and regulation.
