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HiLSS Project

Authors: Brandolini Filippo;
Abstract

The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: "Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. - Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)". List of files included in HLC_RUSLE.zip: R_script_code named "HLC_RUSLE" in .rmd format Output folder: Figures folder: .png products of the R script code Rasters folder: .png products of the R script code Tables folder: .pdf products of the R script code GeoTiff folder (.TIFF file format): Regional RUSLE Data GPKG: HLC dataset and Region Of Interest file in .gpkg format.

Related Organizations
Keywords

Landscape Archaeology, RUSLE, Historic Landscape Characterisation, Soil Sustainability, Soil Erosion Modelling

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selected citations
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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!
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