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Links toniklashohmann

admtools - Estimate and Manipulate Age-Depth Models

Estimate age-depth models from stratigraphic and sedimentological data, and transform data between the time and stratigraphic domain.

Last updated

age-depth-modelgeochronologysedimentologystratigraphy

6.36 score 4 stars 1 dependents 55 scripts 611 downloads

StratPal - Stratigraphic Paleobiology Modeling Pipelines

The fossil record is a joint expression of ecological, taphonomic, evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382). This package allowing to simulate biological processes in the time domain (e.g., trait evolution, fossil abundance, phylogenetic trees), and examine how their expression in the rock record (stratigraphic domain) is influenced based on age-depth models, ecological niche models, and taphonomic effects. Functions simulating common processes used in modeling trait evolution, biostratigraphy or event type data such as first/last occurrences are provided and can be used standalone or as part of a pipeline. The package comes with example data sets and tutorials in several vignettes, which can be used as a template to set up one's own simulation.

Last updated

palaeobiologypalaeontologypaleobiologypaleontologystratigraphic-paleobiologystratigraphy

6.05 score 2 stars 35 scripts 150 downloads

stratcols - Stratigraphic Columns and Order Metrics

Quantify stratigraphic disorder using the metrics defined by Burgess (2016) <doi:10.2110/jsr.2016.10>. Contains a range of utility tools to construct and manipulate stratigraphic columns.

Last updated

geologystratigraphy

4.78 score 2 stars 6 scripts 450 downloads

DAIME - Effects of Changing Deposition Rates

Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .

Last updated

3.00 score 248 downloads

IPPP - Inhomogeneous Poisson Point Processes

Generates random numbers corresponding to the events on a Poisson point process with changing event rates. This includes the possibility to incorporate additional information such as the number of events occurring or the location of an already known event. It can also generate the probability density functions of specific events in the cases where additional information is available. Based on Hohmann (2019) <arXiv:1901.10754>.

Last updated

2.00 score 6 scripts 180 downloads