Difference between revisions of "Mapping Cooking Hotspots"

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= Overview<br/> =
 
= Overview<br/> =
  
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.<br/>
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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.
 
 
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= Possible Datasets<br/> =
 
= Possible Datasets<br/> =
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== Climate vulnerability<br/> ==
 
== Climate vulnerability<br/> ==
  
*[https://germanwatch.org/en/16046 Climate https://germanwatch.org/en/16046 Climate] Risk Index for 2018<ref>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.</ref> (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&nbsp;% (Rank)<ref>https://germanwatch.org/en/16046</ref><br/>
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*[https://gain.nd.edu/our-work/country-index/rankings/ - A https://gain.nd.edu/our-work/country-index/rankings/ - A]<span style="background-color: rgb(255, 255, 255);">&nbsp;country's ND-GAIN index score is composed of a Vulnerability score and a Readiness score.</span><ref>https://gain.nd.edu/our-work/country-index/rankings/</ref><br/>
*[https://gain.nd.edu/our-work/country-index/rankings/ - 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.<ref>https://gain.nd.edu/our-work/country-index/rankings/</ref><br/>
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*[https://germanwatch.org/en/16046 Climate https://germanwatch.org/en/16046 Climate] Risk Index for 2018<ref>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.</ref> (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&nbsp;% (Rank)<ref>https://germanwatch.org/en/16046</ref>
 
 
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== Reliance on solid fuels<br/> ==
 
== Reliance on solid fuels<br/> ==

Revision as of 16:20, 4 December 2019

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.

Climate vulnerability

Reliance on solid fuels


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

  1. https://gain.nd.edu/our-work/country-index/rankings/
  2. 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.
  3. https://germanwatch.org/en/16046


Further Information