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Of the three geospatially relevant analyses that the VI-Suite can conduct: shadow mapping, sky view factor mapping and irradiance mapping the focus here is on solar irradiance analysis of buildings and ground shadow analysis.
TFf result set is analysed as the preferred set for transcription factor mapping.
Additionally, the transcription factors from the preferred method of transcription factor mapping also contribute to many false regulatory links when used in the regulatory elements integration step.
Results are obtained in the transcription factor mapping step based on three techniques, using BLAST, using BLAST with protein family classification and using BLAST with protein subfamily classification.
Results show that the technique based on sequence similarity and protein family classification maps transcription factors most efficiently from S. cerevisiae to A. thaliana; therefore, it is the preferred method for general transcription factor mapping.
Our second-order factor model requires the item to factor mapping established for the first-order factors, for its definition, since it is the second-order (more general) factor that is proposed as the explanation for the association among environmental mastery (E), personal growth (G), purpose in life (P), and self-acceptance (S).
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Fig. 3 Erosivity factor map.
After the weightage assignment the factor maps are reclassed and integrated in GIS.
Creation of static and parametric terrain and urban shadow/sky view factor maps.
All factor maps with cell size of 10 m × 10 m were stored in raster format.
To assign weights and ranks to different input factor maps, multi-influencing factor (MIF) technique has been used.
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