Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

R script of the publication "Identifying hotspots of greenhouse gas emissions from drained peatlands in the European Union"

Authors: van Giersbergen, Quint; Barthelmes, Alexandra; Couwenberg, John; Lång, Kristiina; Tegetmeyer, Cosima; Fritz, Christian; Tanneberger, Franziska;

R script of the publication "Identifying hotspots of greenhouse gas emissions from drained peatlands in the European Union"

Abstract

This dataset contains three R scripts used for spatial analysis and modeling in the study on greenhouse gas emissions from drained peatlands in the European Union. Mainscript_Peatcover_maps.R: Processes spatial data to generate high-resolution peatland cover maps across EU+ countries. It integrates multiple geospatial datasets and applies masking and classification procedures to identify peatland areas. Emission_script.R: Calculates greenhouse gas emissions from drained peatlands using peatland cover data and emission factor allocations. It employs parallel processing techniques to efficiently estimate emissions across large spatial domains. Hotspot_map.R: Generates hotspot maps of greenhouse gas emissions by aggregating spatial emission data, applying statistical downscaling, and visualizing emissions using "bi-variate" mapping techniques. The script integrates multiple geospatial sources to refine emission estimates. These scripts form the computational backbone for mapping and quantifying peatland-related emissions in the EU+ region.

Keywords

Spatial Mapping, Greenhouse gas emissions, Land use, Peatlands, EU, R script

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green