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maarten14c

rbacon:Age-Depth Modelling using Bayesian Statistics

An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).

Maintained by Maarten Blaauw. Last updated 24 days ago.

age-depth-modelbayesianholocenelakesocean-sedimentspeatradiocarbon-calibrationcpp

10.0 match 7 stars 6.75 score 57 scripts 1 dependents

fernandoroa

idiogramFISH:Shiny App. Idiograms with Marks and Karyotype Indices

Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids. Supports micrometers, cM and Mb or any unit. Three styles of centromeres are available: triangle, rounded and inProtein; and six styles of marks are available: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow (downArrow), exProtein (inProtein); its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).

Maintained by Fernando Roa. Last updated 9 months ago.

11.3 match 4.14 score 5 scripts

joeroe

rpaleoclim:Download Paleoclimate Data from 'PaleoClim'

'PaleoClim' <http://www.paleoclim.org> (Brown et al. 2019, <doi:10.1038/sdata.2018.254>) is a set of free, high resolution paleoclimate surfaces covering the whole globe. It includes data on surface temperature, precipitation and the standard bioclimatic variables commonly used in ecological modelling, derived from the 'HadCM3' general circulation model and downscaled to a spatial resolution of up to 2.5 minutes. Simulations are available for key time periods from the Late Holocene to mid-Pliocene. Data on current and Last Glacial Maximum climate is derived from 'CHELSA' (Karger et al. 2017, <doi:10.1038/sdata.2017.122>) and reprocessed by 'PaleoClim' to match their format; it is available at up to 30 seconds resolution. This package provides a simple interface for downloading 'PaleoClim' data in R, with support for caching and filtering retrieved data by period, resolution, and geographic extent.

Maintained by Joe Roe. Last updated 2 years ago.

paleoclimate

0.5 match 15 stars 4.88 score 3 scripts

jgregoriods

dispeRse:Simulation of Demic Diffusion with Environmental Constraints

Simulates demic diffusion building on models previously developed for the expansion of Neolithic and other food-producing economies during the Holocene (Fort et al. (2012) <doi:10.7183/0002-7316.77.2.203>, Souza et al. (2021) <doi:10.1098/rsif.2021.0499>). Growth and emigration are modelled as density-dependent processes using logistic growth and an asymptotic threshold model. Environmental and terrain layers, which can change over time, affect carrying capacity, growth and mobility. Multiple centres of origin with their respective starting times can be specified.

Maintained by Jonas Gregorio de Souza. Last updated 2 years ago.

agent-basedarchaeologydemicdiffusionsimulation

0.5 match 7 stars 3.54 score 4 scripts

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