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DFM is a spatial state estimation and system identification methodology that uses three sources of information: measured data, physical laws, and statistical models for uncertainty in spatial heterogeneities.
Salinity distribution is mapped using an approach that integrates multi-temporal classification of remotely sensed data, physical and chemical soil properties and landform attributes.
When compared with topographic attributes calculated from LIDAR data, physical erosion rates can be modeled as a linear function of ridge top curvature.
A rather critical issue relies in developing replicable and robust methods to predict natural units, as a direct response of climatic, geological and geomorphological data (physical units).
These changes relate to methods of collecting full scale data, physical and numerical modeling techniques, analysis techniques and wind-structure interaction approaches.
Briefings in Bioinformatics, 10(2009193-204 (2009), doi: 10.1093/bib/bbp004 ("The NeuroCommons project seeks to make all scientific research materials – research articles, knowledge bases, research data, physical materials – as available and as usable as they can be.
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Words have become data; the physical states of our machinery have become data; our physical locations have become data; and even our interactions with each other have become data.
PTs will report data on physical examination and their interpretation after history taking and physical examination.
Facilities data quantify physical capacity.
Insights from geochemical data and physical simulations.
To evaluate the measurement data, different physical models are discussed.
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