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as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian <t>Kriging</t> of assignments for N =1,143 individuals. P( k )=1.0 corresponds to 100% probability of ancestry per raster cell, and P( k )=0.0 corresponds to 0%. Individual samples are represented as black dots.
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Assignment probabilities for eight populations of Arkansas white‐tailed deer ( k = 1 through k = 8), as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian <t>Kriging</t> of assignments for N = 1143 individuals. P( k ) = 1.0 corresponds to 100% probability of ancestry per raster cell, and P( k ) = 0.0 corresponds to 0%. Individual samples are represented as black dots
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Assignment probabilities for eight populations of Arkansas white‐tailed deer ( k = 1 through k = 8), as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian <t>Kriging</t> of assignments for N = 1143 individuals. P( k ) = 1.0 corresponds to 100% probability of ancestry per raster cell, and P( k ) = 0.0 corresponds to 0%. Individual samples are represented as black dots
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Assignment probabilities for eight populations of Arkansas white‐tailed deer ( k = 1 through k = 8), as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian <t>Kriging</t> of assignments for N = 1143 individuals. P( k ) = 1.0 corresponds to 100% probability of ancestry per raster cell, and P( k ) = 0.0 corresponds to 0%. Individual samples are represented as black dots
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Assignment probabilities for eight populations of Arkansas white‐tailed deer ( k = 1 through k = 8), as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian <t>Kriging</t> of assignments for N = 1143 individuals. P( k ) = 1.0 corresponds to 100% probability of ancestry per raster cell, and P( k ) = 0.0 corresponds to 0%. Individual samples are represented as black dots
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as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian Kriging of assignments for N =1,143 individuals. P( k )=1.0 corresponds to 100% probability of ancestry per raster cell, and P( k )=0.0 corresponds to 0%. Individual samples are represented as black dots.

Journal: bioRxiv

Article Title: Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer

doi: 10.1101/2020.09.22.308825

Figure Lengend Snippet: as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian Kriging of assignments for N =1,143 individuals. P( k )=1.0 corresponds to 100% probability of ancestry per raster cell, and P( k )=0.0 corresponds to 0%. Individual samples are represented as black dots.

Article Snippet: Here, we constructed state-wide rasters, as representing per-pixel probabilities or ‘ancestry proportions,’ using Empirical Bayesian Kriging (ARCMAP 10.7.1, Esri, Inc.).

Techniques:

Assignment probabilities for eight populations of Arkansas white‐tailed deer ( k = 1 through k = 8), as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian Kriging of assignments for N = 1143 individuals. P( k ) = 1.0 corresponds to 100% probability of ancestry per raster cell, and P( k ) = 0.0 corresponds to 0%. Individual samples are represented as black dots

Journal: Evolutionary Applications

Article Title: Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer

doi: 10.1111/eva.13233

Figure Lengend Snippet: Assignment probabilities for eight populations of Arkansas white‐tailed deer ( k = 1 through k = 8), as inferred from ADMIXTURE applied to 35,099 SNPs, interpolated using Empirical Bayesian Kriging of assignments for N = 1143 individuals. P( k ) = 1.0 corresponds to 100% probability of ancestry per raster cell, and P( k ) = 0.0 corresponds to 0%. Individual samples are represented as black dots

Article Snippet: Here, we constructed statewide rasters, as representing per‐pixel probabilities or “ancestry proportions,” using Empirical Bayesian Kriging ( arcmap 10.7.1, Esri, Inc.).

Techniques: