Difference between revisions of "Mapping Cooking Hotspots"

From energypedia
***** (***** | *****)
m
***** (***** | *****)
 
(6 intermediate revisions by 3 users not shown)
Line 22: Line 22:
 
*[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]<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://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>
 
*[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/>
 +
  
 
== Reliance on solid fuels<br/> ==
 
== Reliance on solid fuels<br/> ==
Line 27: Line 30:
 
*World Development Indicators (WDI) (only data for 2016) Access to clean fuels and technologies for cooking (% of population) [https://data.worldbank.org/indicator/EG.CFT.ACCS.ZS?end=2016&start=2000&type=shaded&view=chart Data] [https://databank.worldbank.org/reports.aspx?source=2&series=EG.CFT.ACCS.ZS&country= Map]
 
*World Development Indicators (WDI) (only data for 2016) Access to clean fuels and technologies for cooking (% of population) [https://data.worldbank.org/indicator/EG.CFT.ACCS.ZS?end=2016&start=2000&type=shaded&view=chart Data] [https://databank.worldbank.org/reports.aspx?source=2&series=EG.CFT.ACCS.ZS&country= Map]
 
*[https://www.who.int/data/gho/data/indicators/indicator-details/GHO/proportion-of-population-with-primary-reliance-on-clean-fuels-and-technologies-(-) Population with primary reliance on clean fuels and technologies (WHO)]
 
*[https://www.who.int/data/gho/data/indicators/indicator-details/GHO/proportion-of-population-with-primary-reliance-on-clean-fuels-and-technologies-(-) Population with primary reliance on clean fuels and technologies (WHO)]
 +
*[https://www.iea.org/reports/sdg7-data-and-projections/access-to-clean-cooking https://www.iea.org/reports/sdg7-data-and-projections/access-to-clean-cooking]
  
−
{{#widget:Iframe |url=https://public.tableau.com/profile/conor.ox#!/vizhome/Relianceonnon-cleanfuelstechnologiesforcooking/Dashboard1 |width=800 |height=500 |border=0 }}
+
<br/>
  
−
*[https://public.tableau.com/profile/conor.ox#!/vizhome/Relianceonnon-cleanfuelstechnologiesforcooking/Dashboard1 link to a map]<br/>
 
  
 
= <span style="font-size: 13.6px"><span style="font-size: 13.6px">Idea: Creating a map to show the most vulnerable areas</span></span><br/> =
 
= <span style="font-size: 13.6px"><span style="font-size: 13.6px">Idea: Creating a map to show the most vulnerable areas</span></span><br/> =
Line 56: Line 59:
  
 
<span style="font-size: 13.6px"><span style="font-size: 13.6px"><references /></span></span>
 
<span style="font-size: 13.6px"><span style="font-size: 13.6px"><references /></span></span>
 +
 +
{{#widget:Iframe |url=https://ourworldindata.org/grapher/access-to-clean-fuels-and-technologies-for-cooking?tab=chart&time=2000..2016&country=BGD+BWA+East%20Asia%20%26%20Pacific+Latin%20America%20%26%20Caribbean+Least%20developed%20countries%3A%20UN%20classification+MWI+South%20Asia+Sub-Saharan%20Africa|width=800 |height=500 |border=0 }}
  
 
<br/>
 
<br/>

Latest revision as of 10:31, 6 January 2020

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

Retrieved from "https://energypedia.info/index.php?title=Mapping_Cooking_Hotspots&oldid=310954"