 Quick metric for judging level of bias  Basis for comparing samples/sampling methods  A way to compute the probability of incorrectly concluding.

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Presentation transcript:

 Quick metric for judging level of bias  Basis for comparing samples/sampling methods  A way to compute the probability of incorrectly concluding a sample is biased Does not give you  Any guidance on where to look to address sampling bias  Any way to view this geographically

Get datum for land unit (precipitation) Locate datum in global distribution Chi Square KS Distance 1573mm/yr Compute representativeness for that value p-value of x 2 times sign of between difference sample and population Difference in ECDF for population versus sample at unit datum

Get datum for land unit Locate datum in global distribution discrete continuous 49.2m Compute representativeness for that value p-value of x 2 times sign of between difference sample and population Difference in ECDF for population versus sample at unit datum Compute RGB (heat map)

 Identify areas where density in population is significantly higher than sample  Search case database using that criterion  Additional criteria available (fts, metadata) Case Weighting  Addresses biases in statistical analysis by  Over-weighting (> 1.0) cases in under- represented areas  Under-weighting (< 1.0) cases in over- represented areas  Computed using representedness

Global Data discrete global grid GLOBE Cases geography + data GLOBE GCE analytical & computational engine GLOBE Web App visual & interactive tools