Open AccessLatent spatial models and sampling design for landscape genetics
Author(s) -
Ephraim M. Hanks,
Mevin B. Hooten,
Steven T. Knick,
Sara J. OylerMcCance,
Jennifer A. Fike,
Todd B. Cross,
Michael K. Schwartz
Publication year - 2016
Publication title -
the annals of applied statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.674
H-Index - 75
eISSN - 1941-7330
pISSN - 1932-6157
DOI - 10.1214/16-aoas929
Subject(s) - categorical variable , spatial analysis , sampling (signal processing) , computer science , population genetics , sampling design , dimension (graph theory) , population , statistics , data mining , machine learning , mathematics , demography , filter (signal processing) , sociology , pure mathematics , computer vision
LATENT SPATIAL MODELS AND SAMPLING DESIGN FOR LANDSCAPE GENETICS1 BY EPHRAIM M. HANKS∗, MEVIN B. HOOTEN†,‡, STEVEN T. KNICK§, SARA J. OYLER-MCCANCE¶, JENNIFER A. FIKE¶, TODD B. CROSS‖,∗∗ AND MICHAEL K. SCHWARTZ‖ Pennsylvania State University∗, U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit†, Colorado State University‡, U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center§, U.S. Geological Survey, Fort Collins Science Center¶, U.S. Forest Service, Rocky Mountain Research Station‖ and University of Montana∗∗
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