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L. japonicus GIs were compared to L. japonicus genomic sequences, whereas M. truncatula GIs were compared to M. truncatula genomic sequences.
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The GQI grids were compared to the land-use map using an innovative GIS-based method.
Maps of the risk surface for exceedance probability were compared using GIS and the full posteriors of the standard deviation of the spatial effects were also compared.
The significance level (p < 0.05) based on Pearson's correlation method done for both seasons and spatial distribution of each trace element are expressed using Arc GIS 10.1 software and the values were compared with the Bureau of Indian Standards (BIS 2012).
Next, all GIs residing in the same genome were compared with each other by calculating the average dinucleotide relative abundance difference, or genomic dissimilarity [ 20], after which we cluster all compositionally similar GIs per genome, based on their genomic dissimilarity values using δρ-Web and Compare_Islands [ 19, 25], respectively.
Using GIS the detailed locations of 3368 laboratory-confirmed cases were compared to the locations of an equal number of controls.
To address this question, some key demographic and public health statistics for the Dutch population were compared with corresponding figures calculated from GIS.
To generate potential hypotheses for further investigation, areas of increased ORs were compared with environmental data available from the Massachusetts GIS portal (http://www.mass.gov/mgis).
Optimization results by the two models, mathematical and GIS, were mutually compared and verified.
The distributions of ex situ collections are compared to GIS-modeled taxon distributions based on both herbarium and genebank data.
Objective measures derived from GIS, the streetscape audit, accelerometers, and body size will be compared with self-report measures drawn from the photovoice and door-to-door data collection components of the study.
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