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Snow Cover and Climate Change in the Cairngorms National Park - model run, analysis and plot creation

Authors: Spencer, Michael;

Snow Cover and Climate Change in the Cairngorms National Park - model run, analysis and plot creation

Abstract

{"references": ["R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/", "Kirill M\u00fcller, Hadley Wickham, David A. James and Seth Falcon (2018). RSQLite: 'SQLite' Interface for R. R package version 2.1.1. https://CRAN.R-project.org/package=RSQLite", "Hadley Wickham (2017). tidyverse: Easily Install and Load the 'Tidyverse'. R package version 1.2.1. https://CRAN.R-project.org/package=tidyverse", "Roger Bivand, Tim Keitt and Barry Rowlingson (2019). rgdal: Bindings for the 'Geospatial' Data Abstraction Library. R package version 1.4-3. https://CRAN.R-project.org/package=rgdal", "Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, https://doi.org/10.32614/RJ-2018-009", "Robert J. Hijmans (2019). raster: Geographic Data Analysis and Modeling. R package version 2.9-5. https://CRAN.R-project.org/package=raster", "Tennekes M (2018). \"tmap: Thematic Maps in R.\" _Journal of Statistical Software_, *84*(6), 1-39. doi:10.18637/jss.v084.i06 (URL: https://doi.org/10.18637/jss.v084.i06).", "David Pierce (2019). ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files. R package version 1.16.1. https://CRAN.R-project.org/package=ncdf4"]}

Code to run degree day snow model and prepare figures for CXC led report on Cairngorms snow cover. Written in R.

Related Organizations
Keywords

Scotland, Climate, R, Cairngorms, snow

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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).
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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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