Geographical Genetics (MPB-38) / / Bryan K. Epperson.

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 mi...

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Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
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Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2003]
©2003
Year of Publication:2003
Edition:Course Book
Language:English
Series:Monographs in Population Biology ; 38
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Physical Description:1 online resource (376 p.) :; 17 tables. 39 line illus.
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id 9781400835621
ctrlnum (DE-B1597)446301
(OCoLC)979754665
collection bib_alma
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spelling Epperson, Bryan K., author. aut http://id.loc.gov/vocabulary/relators/aut
Geographical Genetics (MPB-38) / Bryan K. Epperson.
Course Book
Princeton, NJ : Princeton University Press, [2003]
©2003
1 online resource (376 p.) : 17 tables. 39 line illus.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Monographs in Population Biology ; 38
Frontmatter -- Contents -- Preface -- 1. Space-Time Population Genetics -- 2. Geographical Patterns Observed in Nature -- 3. Ancient Events in Spatial-Temporal Processes -- 4. Spatial and Space-Time Statistics -- 5. Theory of Genetics as Stochastic Spatial-Temporal Processes -- 6. Synthesis: Tying Spatial Patterns among Populations to Space-Time Processes -- 7. Spatial Patterns Observed within Populations -- 8. Statistical Methods for Spatial Structure within Populations -- 9. Theory of Spatial Structure within Populations -- 10. Emerging Study -- Literature Cited -- Index -- Backmatter
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)
Medical geography.
Population genetics.
Population geography.
SCIENCE / Life Sciences / Biology. bisacsh
Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 9783110442502
print 9780691086699
https://doi.org/10.1515/9781400835621
https://www.degruyter.com/isbn/9781400835621
Cover https://www.degruyter.com/cover/covers/9781400835621.jpg
language English
format eBook
author Epperson, Bryan K.,
Epperson, Bryan K.,
spellingShingle Epperson, Bryan K.,
Epperson, Bryan K.,
Geographical Genetics (MPB-38) /
Monographs in Population Biology ;
Frontmatter --
Contents --
Preface --
1. Space-Time Population Genetics --
2. Geographical Patterns Observed in Nature --
3. Ancient Events in Spatial-Temporal Processes --
4. Spatial and Space-Time Statistics --
5. Theory of Genetics as Stochastic Spatial-Temporal Processes --
6. Synthesis: Tying Spatial Patterns among Populations to Space-Time Processes --
7. Spatial Patterns Observed within Populations --
8. Statistical Methods for Spatial Structure within Populations --
9. Theory of Spatial Structure within Populations --
10. Emerging Study --
Literature Cited --
Index --
Backmatter
author_facet Epperson, Bryan K.,
Epperson, Bryan K.,
author_variant b k e bk bke
b k e bk bke
author_role VerfasserIn
VerfasserIn
author_sort Epperson, Bryan K.,
title Geographical Genetics (MPB-38) /
title_full Geographical Genetics (MPB-38) / Bryan K. Epperson.
title_fullStr Geographical Genetics (MPB-38) / Bryan K. Epperson.
title_full_unstemmed Geographical Genetics (MPB-38) / Bryan K. Epperson.
title_auth Geographical Genetics (MPB-38) /
title_alt Frontmatter --
Contents --
Preface --
1. Space-Time Population Genetics --
2. Geographical Patterns Observed in Nature --
3. Ancient Events in Spatial-Temporal Processes --
4. Spatial and Space-Time Statistics --
5. Theory of Genetics as Stochastic Spatial-Temporal Processes --
6. Synthesis: Tying Spatial Patterns among Populations to Space-Time Processes --
7. Spatial Patterns Observed within Populations --
8. Statistical Methods for Spatial Structure within Populations --
9. Theory of Spatial Structure within Populations --
10. Emerging Study --
Literature Cited --
Index --
Backmatter
title_new Geographical Genetics (MPB-38) /
title_sort geographical genetics (mpb-38) /
series Monographs in Population Biology ;
series2 Monographs in Population Biology ;
publisher Princeton University Press,
publishDate 2003
physical 1 online resource (376 p.) : 17 tables. 39 line illus.
Issued also in print.
edition Course Book
contents Frontmatter --
Contents --
Preface --
1. Space-Time Population Genetics --
2. Geographical Patterns Observed in Nature --
3. Ancient Events in Spatial-Temporal Processes --
4. Spatial and Space-Time Statistics --
5. Theory of Genetics as Stochastic Spatial-Temporal Processes --
6. Synthesis: Tying Spatial Patterns among Populations to Space-Time Processes --
7. Spatial Patterns Observed within Populations --
8. Statistical Methods for Spatial Structure within Populations --
9. Theory of Spatial Structure within Populations --
10. Emerging Study --
Literature Cited --
Index --
Backmatter
isbn 9781400835621
9783110442502
9780691086699
callnumber-first Q - Science
callnumber-subject QH - Natural History and Biology
callnumber-label QH455
callnumber-sort QH 3455 E67 42010
url https://doi.org/10.1515/9781400835621
https://www.degruyter.com/isbn/9781400835621
https://www.degruyter.com/cover/covers/9781400835621.jpg
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 570 - Life sciences; biology
dewey-ones 576 - Genetics & evolution
dewey-full 576.58
dewey-sort 3576.58
dewey-raw 576.58
dewey-search 576.58
doi_str_mv 10.1515/9781400835621
oclc_num 979754665
work_keys_str_mv AT eppersonbryank geographicalgeneticsmpb38
status_str n
ids_txt_mv (DE-B1597)446301
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hierarchy_parent_title Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
is_hierarchy_title Geographical Genetics (MPB-38) /
container_title Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
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