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The construction of linkage maps and estimation of recombination rates and signatures of selection in genomic regions affecting floral phenotypes would help test the 'supergene' hypothesis.
Third, for a qualitative display of lesion overlap maps and estimation of lesion volume, we identified each patient's lesion(s) using an automated process (Seghier et al., 2008) rather than attempting to identify the lesion boundary 'by eye' as in previous studies, a method that is both laborious and operator-dependent (Filippi et al., 1995; Ashton et al., 2003).
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The Approaches presented here i.e., modeling, carbon mapping, and estimation can assist to estimate carbon and detect areas of low or high forest carbon, which are relevant to REDD+ activities, particularly, deforestation and enhancing carbon stock.
Eventually, estimation maps of groundwater quality were prepared in WinGslib software and estimation variance map and estimation error map were presented to evaluate the quality of estimation in each estimated point.
The carbon mapping and estimation was based on the TLB model and estimation.
These factors are not addressed here, but understanding and identifying these sources of uncertainty will help to refine the model and improve its applicability to carbon mapping and estimation and applications to other seasons or regions.
Eighty-eight ground plots distributed on 11 clusters of eight plots each according to a probability-based single-stage cluster sampling design served as field data for regression model calibration used for mapping and estimation of AGB and forest area.
The objective of this paper is to explore open source software and easy-to-implement approaches to mapping and estimation of land change that are transferrable to local institutions to increase capacity in the region, and to provide updated information on the regional land surface dynamics.
The R code provided in File S1 shows functions used in statistical fitting, data simulation, NI computation, thematic index computation, mapping, and estimation of confidence intervals.
PNNs are widely used for pattern recognition problems, nonlinear mapping, and estimation of the probability of class membership and likelihood ratios.
Read mapping and estimation of fragment counts per gene were performed using RSEM (v1.2.11) running Bowtie2 (v2.1.0 Li and Deweyey 2011; Langmead and Salzberg 2012).
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