| Type: | Package |
| Title: | Global Charcoal Database |
| Version: | 4.0.7 |
| Date: | 2020-10-26 |
| Author: | Global Paleofire Working Group <paleofire@univ-fcomte.fr> |
| Maintainer: | Olivier Blarquez <blarquez@gmail.com> |
| Description: | Contains the Global Charcoal database data. Data include charcoal series (age, depth, charcoal quantity, associated units and methods) and information on sedimentary sites (localisation, depositional environment, biome, etc.) as well as publications informations. Since 4.0.0 the GCD mirrors the online SQL database at http://paleofire.org. |
| URL: | http://paleofire.org |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Depends: | R(≥ 3.5.0) |
| Suggests: | paleofire |
| Imports: | raster |
| LazyLoad: | yes |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.1.1 |
| NeedsCompilation: | no |
| Packaged: | 2020-10-26 18:52:41 UTC; olivier |
| Repository: | CRAN |
| Date/Publication: | 2020-10-26 19:30:07 UTC |
GCD: Global Charcoal Database data
Description
The GCD package provides Global Charcoal Database data updated at regular intervals to be used in cunjuction with the paleofire package.
Details
| Package: | GCD |
| Type: | Package |
| Version: | 4.0.0 |
| Date: | 2018-03-01 |
| License: | GPL (>=2) |
Author(s)
Global Paleofire Working Group <paleofire gmail.com>
References
Power, M., J. Marlon, P. Bartlein, and S. Harrison. 2010. Fire history and the Global Charcoal Database: a new tool for hypothesis testing and data exploration. Palaeogeography, Palaeoclimatology, Palaeoecology 291:52-59.
See Also
Examples
rm(list=ls())
library(GCD)
## Charcoal data:
data(paleofiredata)
head(paleofiredata)
## Associated sites informations:
data(paleofiresites)
head(paleofiresites)
Internal GCD Data
Description
Internal GCD Data
Basin size
Description
Basin size
Format
A data frame with 7 observations on the following 5 variables.
- ID_BASIN_SIZE
a numeric vector
- BASIN_SIZE_CODE
a character vector
- BASIN_SIZE_DESC
a character vector
- BASIN_SIZE_RANGE_MIN
a character vector
- BASIN_SIZE_RANGE_MAX
a character vector
Examples
data(basin_size)
## maybe str(basin_size) ; plot(basin_size) ...
Extraction methods
Description
Charcoal extractions methods present in the database
Format
A data frame with 13 observations on the following 3 variables.
- ID_METHOD
a factor with levels
ACIDCPROGRAVHNPKHVLQIMAGNOTKOPPFOTHEPOLSSIEVSIPOTHSL- METHOD
a factor with levels
Acidification of sample using gas chromatography to measure elemental carbon (Verardo etal 1990)charcoal part Ided as opaque phytoclasts/pyrofusinite in palynofacies anlaysisCharcoal part. Identified in thin slides (soil micromorphology)Charcoal particles identified by imaging softwareCharcoal separated by heavy liquid preparationCumulative probability (95% confidence interval) alluvial soil charcoalGRAVIMETRIC chemical assay (Winkler method)Hand picked charcoal from soil samplesNot knownOtherPollen slideSievedSieved + Pollslide- METH_CODE
a numeric vector
Examples
data(charcoal_methods)
## maybe str(charcoal_methods) ; plot(charcoal_methods) ...
Charcoal units
Description
Charcoal units used in GCD
Format
A data frame with 169 observations on the following 4 variables.
- unit
a factor with levels
%125%DWT%TOF%WTO100P10121220142214243869501550756914751077387PRA8POSABSCARCCAREAARPGBCCTC004C010C01KC040C100C120C125C140C150C180C250C65XCARECCMYCG2MCHCOCHRXCM10CMGRCMMLCOMLCP20CPARCPRADC13FRAGG05IG10IG250GCHGGCMYGRG1GRGRGRPCGT05GT10GT12GT15GT18GT1MGT24GT25GT2XGT30GT38GT50GT53GT5CLT12LT13LT18LT1MLT25LT40M2GRM2MLMCM3MM2CMM2GMMDWMMMLMT10MULTNOTKORDIOTHEPCM1PCMYPHYTPP25PP51PP52PPMLPPOLPRABPROBPTC0PTC2PTC3PTCTPX25SQC0SQCUSQCYSQG1SQG5SQL5TOCATOM1TOM2TOM3TOM4TOM5TOM6TOM7TOM8TOM9TOMXTOTAUCMYV025V100V125V255V501X01KX105X106X120X125X150X15GX160X180X18CX20PX250X25PX310X37PX459X500X50UX512X515X520X53CX550X55PX55UXA1KXAREXARPXARSXC25XCM3XCOPXFMLXFRGXFRPXFRSXIMGXPEAXPEEXPIXXRIF- qtype
a factor with levels
C0P0CONCINFLNOTKOTHESOIL- type
a character vector
- code
a numeric vector
Examples
data(charcoal_methods)
## maybe str(charcoal_methods) ; plot(charcoal_methods) ...
Date table
Description
Table with the dating information contained in GCD
Format
A data frame with 4872 observations on the following 8 variables.
- ID_SITE
a numeric vector
- DATE_LAB_NUMBER
a factor with many levels
- DEPTH
a numeric vector
- TICKNESS
a numeric vector
- AGE
a numeric vector
- ERROR
a numeric vector
- ID_DATE_TYPE
a numeric vector
- ID_MAT_DATED
a factor with levels
obtained ~~
Examples
data(date)
## maybe str(date) ; plot(date) ...
Type of dates in date.rda
Description
Type of dates in date.rda
Format
A data frame with 31 observations on the following 4 variables.
- ID_DATE_TYPE
a numeric vector
- DATE_TYPE_CODE
a character vector
- DATE_TYPE_NAME
a character vector
- DATE_TYPE_NUMBER
a numeric vector
obtained ~~
Examples
data(date_type)
## maybe str(date_type) ; plot(date_type) ...
Depositional contexts
Description
Depositional contexts
Format
A data frame with 17 observations on the following 4 variables.
- ID_DEPO_CONTEXT
a numeric vector
- DEPO_CONTEXT_CODE
a character vector
- DEPO_CONTEXT_NAME
a character vector
- DEPO_CONTEXT_NUMBER
a numeric vector
Examples
data(depo_context)
## maybe str(depo_context) ; plot(depo_context) ...
Landscape description elements
Description
Landscape description elements
Format
A data frame with 20 observations on the following 3 variables.
- ID_LANDS_DESC
a numeric vector
- LANDS_DESC_CODE
a character vector
- LANDS_DESC_NAME
a character vector
Examples
data(lands_desc)
## maybe str(lands_desc) ; plot(lands_desc) ...
Material Dated
Description
Material Dated
Format
A data frame with 23 observations on the following 4 variables.
- ID_MAT_DATED
a numeric vector
- MAT_DATED_STANDARD_LEVEL
a character vector
- MAT_DATED_TYPE
a character vector
- MAT_DATED_HIGH_LEVEL
a character vector
obtained ~~
Examples
data(mat_dated)
## maybe str(mat_dated) ; plot(mat_dated) ...
GCD Charcoal data
Description
Charcoal series from the Global Charcoal Database
Format
A data frame with 134269 observations on the following 4 variables.
- ID_SITE
a numeric vector
- DEPTH
a numeric vector
- EST_AGE
a numeric vector
- QUANTITY
a numeric vector
- METHOD
a factor with levels
ACIDCPROGRAVHNPKHVLQIMAGNOTKORECOTHEPOLSSIEV- UNIT
a factor see
paleofiresitesfor details- TYPE
a factor with levels
C0P0CONCINFLNOTKOTHESOIL
Examples
data(paleofiredata)
## maybe str(paleofiredata) ; plot(paleofiredata) ...
GCD sites information
Description
Sites description and features
Format
A data frame with 881 observations on the following 17 variables.
id_sitesites primary key from GCD v4.x.x
id_site_oldsites primary key from GCD v3.x.x, deprecated
pref_unitsa factor, see help("charcoal_units") and data("charcoal_units") for details
site_namea character vector
lata numeric vector
longa numeric vector
elevationa numeric vector of elevations
countrya character vector
continenta factor with levels
AfricaAntarcticaAsiaAustraliaEuropeNorth AmericaSouth AmericaISO3ISO3 code by country
num_datinga numeric vector
min_est_agea numeric vector
max_est_agea numeric vector
num_sampa numeric vector
has_depthfactor indicating presence of depths associated to ages
date_inta numeric vector, interval in years between two dates
qtypea factor, see help("charcoal_units") and data("charcoal_units") for details
water_deptha numeric vector
depo_contexta character vector, see help("depo_contex") and data("depo_contex") for details
id_site_typea character vector, see help("site_type") and data("site_type") for details
id_basin_sizea character vector, see help("basin_size") and data("basin_size") for details
id_lands_desca character vector, see help("lands_desc") and data("lands_desc") for details
l12a numeric vector, Levavasseur et al. 2012
rf99a numeric vector, Ramankutty et al. 1999
gcd_versionmain GCD releases
num_versiona numeric vector: version number 401 meaning 4.0.1
update_datedate of data update in the GCD
Details
l12 levels0= Water
1= Boreal forest
2= Desert vegetation
3= Grassland and dry shrubland
4= Savannas abd dry woodlands
5= Temperate forest
6= Tropical forest
7= Tundra
8= Warm temperate
9= Warm desert
10= Cold desert
rf99 levels 0= Water
1= Tropical Evergreen
Forest/Woodland
2= Tropical Deciduous Forest/Woodland
3=
Temperate Broadleaf Evergreen Forest/Woodland
4= Temperate
Needleleaf Evergreen Forest/Woodland
5= Temperate Deciduous
Forest/Woodland
6= Boreal Evergreen Forest/Woodland
7=
Boreal Deciduous Forest/Woodland
8= Evergreen/Deciduous Mixed
Forest/Woodland
9= Savanna
10= Grassland/Steppe
11= Dense Shrubland
12= Open Shrubland
13=
Tundra
14= Desert
15= Polar Desert/Rock/Ice
References
Ramankutty, N., and J.A. Foley (1999). Estimating historical
changes in global land cover: croplands from 1700 to 1992, Global
Biogeochemical Cycles 13(4), 997-1027.
Levavasseur, G., M. Vrac, D.
M. Roche, and D. Paillard. 2012. Statistical modelling of a new global
potential vegetation distribution. Environmental Research Letters 7:044019.
Examples
data(paleofiresites)
## maybe str(paleofiresites) ; plot(paleofiresites) ...
Publication List
Description
List of GCD publications with DOI and link.
Usage
data("pub")
Format
A data frame with 664 observations on the following 4 variables.
id_puba numeric vector
citationa character vector
linkweb adresses
DOIDOI
Examples
data(pub)
## maybe str(pub) ; plot(pub) ...
Type of sites
Description
Type of sites
Format
A data frame with 53 observations on the following 4 variables.
- ID_SITE_TYPE
a numeric vector
- SITE_TYPE_LEVEL
a character vector
- SITE_TYPE_DESC
a character vector
- SITE_TYPE_HIGH_LEVEL
a character vector
Examples
data(site_type)
## maybe str(site_type) ; plot(site_type) ...