ru-resilient-arctic-clusters

This repository contains some supplementary materials (code, data and plots) for the paper “Resilience Potential of the Russian Arctic Cities".

https://github.com/e-kotov/ru-resilient-arctic-clusters

Keywords

Repository

This repository contains some supplementary materials (code, data and plots) for the paper “Resilience Potential of the Russian Arctic Cities".

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

# ru-resilient-arctic-clusters





This repository contains some supplementary materials (code, data and plots) for the paper "Resilience Potential of the Russian Arctic Cities".

Zamyatina, N., Kotov, E., Goncharov, R., Burceva, A., Grebenec, V., Medvedkov, A., Molodcova, V., Kljueva, V., Kulchitsky, Y., Mironova, B., Nikitin, B., Pilyasov, A., Polyachenko, A., Poturaeva, A., Streletskiy, D., & Shamalo, I. (2022). Resilience Potential of the Russian Arctic Cities. Vestnik Moskovskogo Universiteta. Seria 5, Geografia (In Russian), 5, 52–65. URL: [https://vestnik5.geogr.msu.ru/jour/article/view/1065](https://vestnik5.geogr.msu.ru/jour/article/view/1065){target='_blank'}

Current data and code: [![DOI](https://zenodo.org/badge/484737615.svg)](https://zenodo.org/badge/latestdoi/484737615)




You can see the published html version of the paper supplements at [https://www.ekotov.pro/ru-resilient-arctic-clusters/](https://www.ekotov.pro/ru-resilient-arctic-clusters/).



## The key result

The key result of the article is clustering of Russian Arctic cities.

![networked representation of settlement groups](images/umap_net_en.png)

An interactive version of this plot is in [outputs/plots](outputs/plots). The code to reproduce the analysis is in [paper/paper.Rmd](paper/paper.Rmd) and online at [https://e-kotov.github.io/ru-resilient-arctic-clusters/](https://e-kotov.github.io/ru-resilient-arctic-clusters/) . Some helper functions are in [R](R).


## Reproducing the analysis

If you want to re-run the analysis from scratch:

1. Install R https://cran.r-project.org and RStudio https://www.rstudio.com.

2. Extract all the files to a folder.

3. Open the `ru-resilient-arctic-clusters.Rproj` file in RStudio.

4. Open the `paper/paper.Rmd` file within RStudio file browser.

5. Press Knit button at the top to run the analysis. All packages should install automatically, the analysis should run and you should get an regenerated `paper/paper.html` file.

## ABSTRACT

Resilience is the ability of urban systems to overcome natural or manufactured crises. It is regarded as a complementary concept to that of sustainable development. Application of the concept of resilience is particularly relevant in the Arctic, where both natural and economic systems are particularly vulnerable. The article analyzes 19 quantitative indicators for 27 Arctic settlements of the Russian Federation according to the following subsystems: economic specialization, life support and communal services, socio-cultural, natural-ecological, administrative and managerial. Cluster analysis identified 7 groups of cities that consistently demonstrate similarity under different versions of analysis. Overcoming crises in a city development requires simultaneous resilience in different subsystems of urban development; the weakness of any of these subsystems could cause the collapse of the entire system. Therefore, the assessment of resilience requires an integrated approach.



## KEY WORDS
sustainable development, Arctic cities, socio-ecological systems


## FUNDING

The reported study was funded by RFBR according to the research project # 18-05-60088 “Urban Arctic resilience in the context of climate change and socio-economic transformation”.

Owner

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Clustering of Russian Arctic Cities: data, R code
  and plots
message: Please cite this dataset using these metadata.
type: dataset
authors:
  - given-names: Egor
    family-names: Kotov
    email: kotov.egor@gmail.com
    orcid: 'https://orcid.org/0000-0001-6690-5345'
    affiliation: HSE University

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