8B_2_Using sound to represent uncertainty in address locations
3A_3_Informing population genetics through spatial analysis of surnames
1. Informing Population Genetics through Spatial Analysis of Surnames James Cheshire University College London Department of Geography spatialanalysis.co.uk @spatialanalysis
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5. Surnames as Genetic Data Context: the geneticists perspective. Genetic Variation in Europe. Cavalli-Sforza 2001 .
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7. Data Combining the two: requirements 2001 Enhanced Electoral Roll 45.6 Million People 1,597, 805 Surnames 1,457, 681< 10 occurrences 1.5 million postcodes 1881 Census 4, 679, 574 People 425, 793 Surnames 345, 781 <10 occurrences 657 Districts
8. Data Surnames and place of birth of 842 volunteers* and their maternal/ paternal grandparents. * to qualify for the study volunteers had to be born within 60 km of the birthplaces of 3 out of 4 grandparents. All birthplaces should be “rural”.
9. Kernel Density Estimation Proposed Solution Calculates the probability of a surname occurring in an area. Adjusted by altering bandwidth size and model, grid cell size, sample size within kernel (interval), dual or single KDE, applying a weight to each point. Following KDE parameters used: - 50 x 50 grid. - Fixed bandwidth that changes with each name. - Each point weighted by the location quotient of surname occurrence. - Constrained by coast. Normal Uniform Quartic Triangular
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