A01=Bryan K. Epperson
Accuracy and precision
Allele
Allele frequency
Author_Bryan K. Epperson
Autocorrelation
Category=PDE
Category=PSAK
Category=RGM
Chi-squared test
Coefficient of relationship
Correlation and dependence
Correlogram
Demic diffusion
Directional selection
Dummy variable (statistics)
Effective population size
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_science
Errors and residuals
Estimation
Estimator
Expected value
F-test
Fixation index
Founder effect
Gene flow
Genetic distance
Genetic diversity
Genetic drift
Genetic structure
Genetic variation
Genotype
Haplotype
Identity by descent
Inbreeding
Inference
Isolation by distance
Joint probability distribution
Kriging
Least squares
Linkage disequilibrium
Mantel test
Moran's I
Mutation rate
Normal distribution
Null hypothesis
Outbreeding depression
Overdominance
Population genetics
Population size
Porosity
Probability
Probability distribution
Quadrat
Random field
Randomization
Result
Sampling (statistics)
Sampling error
Small population size
Spatial analysis
Spatial correlation
Spatial distribution
Spatial scale
Standard deviation
STAR model
Stationary process
Statistic
Statistical power
Statistical significance
Statistics
Stochastic
Stochastic process
Test statistic
Variance
Weighted arithmetic mean
Product details
- ISBN 9780691086699
- Weight: 482g
- Dimensions: 140 x 216mm
- Publication Date: 31 Aug 2003
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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Population genetics has made great strides in applying statistical analysis and mathematical modeling to understand how genes mutate and spread through populations over time. But real populations also live in space. Streams, mountains, and other geographic features often divide populations, limit migration, or otherwise influence gene flow. This book rigorously examines the processes that determine geographic patterns of genetic variation, providing a comprehensive guide to their study and interpretation. Geographical Genetics has a unique focus on the mathematical relationships of spatial statistical measures of patterns to stochastic processes. It also develops the probability and distribution theory of various spatial statistics for analysis of population genetic data, detailing exact methods for using various spatial features to make precise inferences about migration, natural selection, and other dynamic forces. The book also reviews the experimental literature on the types of spatial patterns of genetic variation found within and among populations. And it makes an unprecedented strong connection between observed measures of spatial patterns and those predicted theoretically.
Along the way, it introduces readers to the mathematics of spatial statistics, applications to specific population genetic systems, and the relationship between the mathematics of space-time processes and the formal theory of geographical genetics. Written by a leading authority, this is the first comprehensive treatment of geographical genetics. It is a much-needed guide to the theory, techniques, and applications of a field that will play an increasingly important role in population biology and ecology.
Bryan K. Epperson is Professor of Population Genetics at Michigan State University.
