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Identifying Hot Spots in Rural Community Resilience in Scotland - data generation code

Authors: Michael Spencer;

Identifying Hot Spots in Rural Community Resilience in Scotland - data generation code

Abstract

{"references": ["GRASS Development Team, 2018. Geographic Resources Analysis Support System (GRASS) Software, Version 7.4. Open Source Geospatial Foundation. https://grass.osgeo.org", "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/", "Roger Bivand (2018). rgrass7: Interface Between GRASS 7 Geographical Information System and R. R package version 0.1-12. https://CRAN.R-project.org/package=rgrass7", "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"]}

Code to create database of nearest resilience infrastructure from each Scottish postcode, commissioned by the National Centre for Resilience. Written in R and GRASS.

Related Organizations
Keywords

GRASS, Resilience, Postcodes, Scotland, Emergency, R, Spatial

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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.
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