| 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 - ACID- CPRO- GRAV- HNPK- HVLQ- IMAG- NOTK- OPPF- OTHE- POLS- SIEV- SIPO- THSL
- 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 anlaysis- Charcoal part. Identified in thin slides (soil micromorphology)- Charcoal particles identified by imaging software- Charcoal separated by heavy liquid preparation- Cumulative probability (95% confidence interval) alluvial soil charcoal- GRAVIMETRIC chemical assay (Winkler method)- Hand picked charcoal from soil samples- Not known- Other- Pollen slide- Sieved- Sieved + 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- %WTO- 100P- 1012- 1220- 1422- 1424- 3869- 5015- 5075- 6914- 7510- 7738- 7PRA- 8POS- ABSC- ARCC- AREA- ARPG- BCCT- C004- C010- C01K- C040- C100- C120- C125- C140- C150- C180- C250- C65X- CARE- CCMY- CG2M- CHCO- CHRX- CM10- CMGR- CMML- COML- CP20- CPAR- CPRA- DC13- FRAG- G05I- G10I- G250- GCHG- GCMY- GRG1- GRGR- GRPC- GT05- GT10- GT12- GT15- GT18- GT1M- GT24- GT25- GT2X- GT30- GT38- GT50- GT53- GT5C- LT12- LT13- LT18- LT1M- LT25- LT40- M2GR- M2ML- MCM3- MM2C- MM2G- MMDW- MMML- MT10- MULT- NOTK- ORDI- OTHE- PCM1- PCMY- PHYT- PP25- PP51- PP52- PPML- PPOL- PRAB- PROB- PTC0- PTC2- PTC3- PTCT- PX25- SQC0- SQCU- SQCY- SQG1- SQG5- SQL5- TOCA- TOM1- TOM2- TOM3- TOM4- TOM5- TOM6- TOM7- TOM8- TOM9- TOMX- TOTA- UCMY- V025- V100- V125- V255- V501- X01K- X105- X106- X120- X125- X150- X15G- X160- X180- X18C- X20P- X250- X25P- X310- X37P- X459- X500- X50U- X512- X515- X520- X53C- X550- X55P- X55U- XA1K- XARE- XARP- XARS- XC25- XCM3- XCOP- XFML- XFRG- XFRP- XFRS- XIMG- XPEA- XPEE- XPIX- XRIF
- qtype
- a factor with levels - C0P0- CONC- INFL- NOTK- OTHE- SOIL
- 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 - ACID- CPRO- GRAV- HNPK- HVLQ- IMAG- NOTK- OREC- OTHE- POLS- SIEV
- UNIT
- a factor see - paleofiresitesfor details
- TYPE
- a factor with levels - C0P0- CONC- INFL- NOTK- OTHE- SOIL
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_site
- sites primary key from GCD v4.x.x 
- id_site_old
- sites primary key from GCD v3.x.x, deprecated 
- pref_units
- a factor, see help("charcoal_units") and data("charcoal_units") for details 
- site_name
- a character vector 
- lat
- a numeric vector 
- long
- a numeric vector 
- elevation
- a numeric vector of elevations 
- country
- a character vector 
- continent
- a factor with levels - Africa- Antarctica- Asia- Australia- Europe- North America- South America
- ISO3
- ISO3 code by country 
- num_dating
- a numeric vector 
- min_est_age
- a numeric vector 
- max_est_age
- a numeric vector 
- num_samp
- a numeric vector 
- has_depth
- factor indicating presence of depths associated to ages 
- date_int
- a numeric vector, interval in years between two dates 
- qtype
- a factor, see help("charcoal_units") and data("charcoal_units") for details 
- water_depth
- a numeric vector 
- depo_context
- a character vector, see help("depo_contex") and data("depo_contex") for details 
- id_site_type
- a character vector, see help("site_type") and data("site_type") for details 
- id_basin_size
- a character vector, see help("basin_size") and data("basin_size") for details 
- id_lands_desc
- a character vector, see help("lands_desc") and data("lands_desc") for details 
- l12
- a numeric vector, Levavasseur et al. 2012 
- rf99
- a numeric vector, Ramankutty et al. 1999 
- gcd_version
- main GCD releases 
- num_version
- a numeric vector: version number 401 meaning 4.0.1 
- update_date
- date 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_pub
- a numeric vector 
- citation
- a character vector 
- link
- web adresses 
- DOI
- DOI 
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) ...