Mapping Cooking Hotspots
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Revision as of 15:41, 4 December 2019 by ***** (***** | *****)
Overview
With this article we want to map the cooking hot-spots (to be defined) where (i) firewood scarcity, (ii) (a)socio economic & (b) climate vulnerability and (iii) reliance on solid fuels overlap.
Possible Datasets
Firewood scarcity
tbc
Socio economic vulnerability
Data from United Nations Committee for Development Policy Secretariat. Triennial review dataset 2000 - 2018.
- Economic Vulnerability Indicators
- Complete dataset 2000-2018 (Excel format)
- 2018 LDC Snapshots – consolidated version (PDF format)
Climate vulnerability
- Climate https://germanwatch.org/en/16046 Climate Risk Index for 2018[1] (Ranking score: 1. Fatalities in 2018 (Rank) 2. Fatalities per 100 000 inhab-itants (Rank), 3. Losses in mil-lion US$ (PPP) (Rank), 4. Losses per unit GDP in % (Rank)[2]
- - A https://gain.nd.edu/our-work/country-index/rankings/ - A country's ND-GAIN index score is composed of a Vulnerability score and a Readiness score.[3]
Reliance on solid fuels
- World Development Indicators (WDI) (only data for 2016) Access to clean fuels and technologies for cooking (% of population) Data Map
- Population with primary reliance on clean fuels and technologies (WHO)
Idea: Creating a map to show the most vulnerable areas
to be developed; different layers of color coded areas based on a classification in the following categories:
Country/region | firewood scarcity | socio economic vulnerability | possibly climate vulnerability | solid fuels | Scoring |
References
- ↑ The Germanwatch Global Climate Risk Index is an analysis based on one of the most reliable data sets available on the impacts of extreme weather events and associated socio-economic data.
- ↑ https://germanwatch.org/en/16046
- ↑ https://gain.nd.edu/our-work/country-index/rankings/