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pastclim  

Manipulate Time Series of Climate Reconstructions
View on CRAN: Click here


Download and install pastclim package within the R console
Install from CRAN:
install.packages("pastclim")

Install from Github:
library("remotes")
install_github("cran/pastclim")

Install by package version:
library("remotes")
install_version("pastclim", "2.2.0")



Attach the package and use:
library("pastclim")
Maintained by
Andrea Manica
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-06
Latest Update: 2025-02-23
Description:
Methods to easily extract and manipulate palaeoclimate reconstructions for ecological and anthropological analyses, as described in Leonardi et al. (2023) .
How to cite:
Andrea Manica (2023). pastclim: Manipulate Time Series of Climate Reconstructions. R package version 2.2.0, https://cran.r-project.org/web/packages/pastclim. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:39), 1.2.3 (2023-01-06 12:10), 1.2.4 (2023-04-25 22:30), 2.0.0 (2023-11-02 15:10), 2.1.0 (2024-06-19 17:40)
Other packages that cited pastclim R package
View pastclim citation profile
Other R packages that pastclim depends, imports, suggests or enhances
Complete documentation for pastclim
Functions, R codes and Examples using the pastclim R package
Some associated functions: Barreto2023 . Beyer2020 . Example . HYDE_3.3_baseline . Krapp2021 . WorldClim_2.1 . bioclim_vars-methods . check_available_dataset . check_available_variable . check_coords_names . check_dataset_path . check_time_vars . check_var_downloaded . check_var_in_nc . clean_data_path . climate_for_locations . climate_for_time_slice . copy_example_data . df_from_region_series . df_from_region_slice . distance_from_sea . dot-cv . download_chelsa . download_dataset . download_etopo . download_worldclim_future . download_worldclim_present . get_available_datasets . get_biome_classes . get_data_path . get_dataset_info . get_downloaded_datasets . get_file_for_dataset . get_ice_mask . get_land_mask . get_mis_time_steps . get_sea_level . get_time_bp_steps . get_varname . get_vars_for_dataset . help_console . is_region_series . list_available_datasets . load_dataset_list . load_etopo . location_series . location_slice . location_slice_from_region_series . make_binary_mask . make_ice_mask . make_land_mask . mis_boundaries . mode . pastclim . region_extent . region_outline . region_outline_union . region_series . region_slice . sample_region_series . sample_region_slice . sample_rs_fixed . sample_rs_variable . set_data_path . slice_region_series . time_bp . time_bp_to_i_series . time_bp_to_index . time_series_for_locations . update_dataset_list . validate_nc . var_labels . ybp2date . 
Some associated R codes: bioclim_vars.R . check_available_datasets.R . check_coords_names.R . check_dataset_path.R . check_times.R . check_var_downloaded.R . check_var_in_nc.R . clean_data_path.R . data.R . datasets_docs.R . df_from_region_series.R . df_from_region_slice.R . distance_from_sea.R . download_chelsa.R . download_dataset.R . download_etopo.R . download_worldclim_future.R . download_worldclim_present.R . get_available_datasets.R . get_biome_classes.R . get_data_path.R . get_dataset_info.R . get_downloaded_datasets.R . get_file_for_dataset.R . get_ice_mask.R . get_land_mask.R . get_mis_time_steps.R . get_sea_level.R . get_time_steps.R . get_vars_for_dataset.R . global.R . is_region_series.R . list_available_datasets.R . load_dataset_list.R . load_etopo.R . location_series.R . location_slice.R . location_slice_from_region_series.R . make_binary_mask.R . make_ice_mask.R . make_land_mask.R . pastclim.R . region_series.R . region_slice.R . sample_region_series.R . sample_region_slice.R . set_data_path.R . slice_region_series.R . time_bp.R . time_bp_to_i_series.R . time_bp_to_index.R . update_dataset_list.R . validate_nc.R . var_labels.R . ybp2date.R . zzz.R .  Full pastclim package functions and examples
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