Showing 12 of total 12 results (show query)
evolecolgroup
pastclim:Manipulate Time Series of Climate Reconstructions
Methods to easily extract and manipulate climate reconstructions for ecological and anthropological analyses, as described in Leonardi et al. (2023) <doi:10.1111/ecog.06481>. The package includes datasets of palaeoclimate reconstructions, present observations, and future projections from multiple climate models.
Maintained by Andrea Manica. Last updated 3 days ago.
climate-datapaleoclimatespecies-distribution-modelling
10.0 match 38 stars 8.12 score 49 scriptsjoeroe
era:Year-Based Time Scales
Provides a consistent representation of year-based time scales as a numeric vector with an associated 'era'. There are built-in era definitions for many year numbering systems used in contemporary and historic calendars (e.g. Common Era, Islamic 'Hijri' years); year-based time scales used in archaeology, astronomy, geology, and other palaeosciences (e.g. Before Present, SI-prefixed 'annus'); and support for arbitrary user-defined eras. Years can converted from any one era to another using a generalised transformation function. Methods are also provided for robust casting and coercion between years and other numeric types, type-stable arithmetic with years, and pretty-printing in tables.
Maintained by Joe Roe. Last updated 4 months ago.
archaeologygeologypaleoclimatepaleontologyvctrs
10.0 match 15 stars 4.88 score 4 scriptscritical-infrastructure-systems-lab
ldsr:Linear Dynamical System Reconstruction
Streamflow (and climate) reconstruction using Linear Dynamical Systems. The advantage of this method is the additional state trajectory which can reveal more information about the catchment or climate system. For details of the method please refer to Nguyen and Galelli (2018) <doi:10.1002/2017WR022114>.
Maintained by Hung Nguyen. Last updated 5 years ago.
expectation-maximization-algorithmhydrologykalman-smootherlinear-dynamical-systemspaleoclimateopenblascppopenmp
10.0 match 8 stars 4.86 score 18 scriptsnielsjdewinter
shelltrace:Bivalve Growth and Trace Element Accumulation Model
Contains all the formulae of the growth and trace element uptake model described in the equally-named Geoscientific Model Development paper (de Winter, 2017, <doi:10.5194/gmd-2017-137>). The model takes as input a file with X- and Y-coordinates of digitized growth increments recognized on a longitudinal cross section through the bivalve shell, as well as a BMP file of an elemental map of the cross section surface with chemically distinct phases separated by phase analysis. It proceeds by a step-by-step process described in the paper, by which digitized growth increments are used to calculate changes in shell height, shell thickness, shell volume, shell mass and shell growth rate through the bivalve's life time. Then, results of this growth modelling are combined with the trace element mapping results to trace the incorporation of trace elements into the bivalve shell. Results of various modelling parameters can be exported in the form of XLSX files.
Maintained by Niels J. de Winter. Last updated 7 years ago.
bivalvechemistryelementsfisheriesgrowthmolluskpalaeobiologypalaeoecologypaleobiologypaleoclimateshellopenjdk
10.0 match 2.49 score 31 scriptsmjbutrim
dilp:Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy
Use leaf physiognomic methods to reconstruct mean annual temperature (MAT), mean annual precipitation (MAP), and leaf dry mass per area (Ma), along with other useful quantitative leaf traits. Methods in this package described in Lowe et al. (in review).
Maintained by Matthew J. Butrim. Last updated 10 months ago.
5.5 match 4.18 score 2 scriptscran
astrochron:A Computational Tool for Astrochronology
Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Maintained by Stephen Meyers. Last updated 6 months ago.
3.8 match 5 stars 3.85 score 141 scriptscortinah
hockeystick:Download and Visualize Essential Climate Change Data
Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, methane, emissions, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dioxide and temperature data: <doi:10.3334/CDIAC/ATG.009>.
Maintained by Hernando Cortina. Last updated 4 months ago.
carboncarbon-dioxide-datacarbon-emissionsclimateclimate-changeclimate-dataclimate-scienceggplot2methanenoaasea-icesea-levelstemperature-datawarming-stripes
0.5 match 50 stars 4.70 score 8 scriptsdkimstatlab
SynchWave:Synchrosqueezed Wavelet Transform
The synchrosqueezed wavelet transform is implemented. The package is a translation of MATLAB Synchrosqueezing Toolbox, version 1.1 originally developed by Eugene Brevdo (2012). The C code for curve_ext was authored by Jianfeng Lu, and translated to Fortran by Dongik Jang. Synchrosqueezing is based on the papers: [1] Daubechies, I., Lu, J. and Wu, H. T. (2011) Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool. Applied and Computational Harmonic Analysis, 30. 243-261. [2] Thakur, G., Brevdo, E., Fukar, N. S. and Wu, H-T. (2013) The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications. Signal Processing, 93, 1079-1094.
Maintained by Donghoh Kim. Last updated 3 years ago.
0.5 match 2 stars 2.08 score 20 scripts 1 dependentsjonathanlees
ClamR:Time Series Modeling for Climate Change Proxies
Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate analysis, applied to isotope data extracted from clams.
Maintained by Jonathan M. Lees. Last updated 2 years ago.
0.5 match 1.23 score 17 scripts