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One of the top-performing methods in the AnDi-2020 challenge
AnDi-2020竞赛中表现优异的顶级方法之一
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创建时间：
2025-04-09
相关数据集
Data from: Modelling unbiased dispersal kernels over continuous space by accounting for spatial heterogeneity in marking and observation efforts
1. Although a key demographic trait determining the spatial dynamics of wild populations, dispersal is notoriously difficult to estimate in the field. Indeed, dispersal distances obtained from the mon
DataONE2017-08-19 更新40
Functional traits in red flour beetles: the dispersal phenotype is associated with leg length but not body size nor metabolic rate
Individuals vary in their ability to disperse. Much of this variation can be described by covarying phenotypic traits that are related to dispersal (constituting the âdispersal phenotypeâ or âdi
DataONE2020-06-24 更新20
Appendix A. Technical note on testing random walk hypotheses, derivation of dynamics under "spread regulation" of new-site ratios, models used for simulated spread scenarios, and mathematical approximation showing approximate "spread regulation" expected slope of -1.
Technical note on testing random walk hypotheses, derivation of dynamics under "spread regulation" of new-site ratios, models used for simulated spread scenarios, and mathematical approximation showin
NIAID Data Ecosystem20
Replication Data for "Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion"
REPLICATION DATA & CODE; MANUSCRIPT TITLE: Dissecting Diffusion: Tracing the Plurality of Factors that Shape Knowledge Diffusion; JOURNAL: Research Policy; AUTHORS: Paige Clayton, Lauren Lanahan,
Harvard Dataverse2021-09-15 更新30
Appendix B. Detailed description for generating dispersal predictors using a distance based eigenvector procedure.
Detailed description for generating dispersal predictors using a distance based eigenvector procedure.
NIAID Data Ecosystem20
