.png){kind=link}
.png&action=edit&redlink=1){kind=link}
Original file (3,000 × 2,000 pixels, file size: 832 KB, MIME type: image/png)
 | This is a file from the Wikimedia Commons. Information from its description page there is shown below. Commons is a freely licensed media file repository. You can help. |
.png){kind=link}
Summary
| Description |
English: The variwide chart allows the visualization of a multitude of data dimensions in one easy-to-read diagram. These data dimensions are:
- Individual country data, such as China, South Africa, or the USA, or a group of countries such as the Middle East, Africa, or Australia/New Zealand, - Population by country or group of countries, - Per capita GHG emissions, and - GHG emissions growth year-over-year The total GHG emissions of a region are represented as a rectangular area. The height of each rectangle is proportional to the GHG emissions per capita and the width is proportional to the population of the represented region. The regions are sorted by GHG emissions per capita, from the highest to the lowest. The color of the rectangles indicate their growth rate: “heating up” is represented from light red to dark red, and “cooling down” goes from light blue to dark blue. Based on IEA data from IEA (2024) “Greenhouse gas emissions from energy”, https://www.iea.org/statistics. All rights reserved; as modified by Thomas Schulz, AQAL Capital GmbH. https://aqalcapital.com/2022-worldwide-ghg-emissions/ This map is without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.
Deutsch: Das variwide Diagramm erlaubt die Visualisierung von mehreren Datendimensionen in einem einfach zu lesenden Diagramm. Diese Datendimensionen sind:
- Daten der individuellen Länder, wie China, Südamerika, oder die Vereinigten Staaten von Amerika, oder Gruppen von Ländern wie der Mittlere Osten oder Afrika. - Bevölkerung nach Ländern oder Regionen - Pro-Kopf Emissionen, und - Veränderung der GHG Emissionen zum Vorjahr Die Gesamtemissionen einer Region sind repräsentiert als Rechteckfläche. Die Höhe jedes Rechtecks ist proportional zu den GHG Emissionen pro Kopf, und die Breite ist proportional zur Bevölkerung der jeweiligen Region. Die Rechtecke sind dann sortiert nach Pro-Kopf Emissionen, von den höchsten zu den niedrigsten. Die Farbe der Flächen indizieren das Wachstum zum Vorjahr: "aufwärmen" ist dargestellt von hellrot zu dunkelrot, und "Abkühlen" von hellblau zu dunkelblau. Basiert auf Daten der IEA data aus IEA (2024) “Greenhouse gas emissions from energy”, https://www.iea.org/statistics. Alle Rechte vorbehalten; wie bearbeitet von Thomas Schulz, AQAL Capital GmbH, München. https://aqalcapital.com/2022-worldwide-ghg-emissions/ This map is without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. |
| Date | |
| Source | Own work |
| Author | Tom.schulz |
Licensing
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:39, 25 September 2024 | | 3,000 × 2,000 (832 KB) | Tom.schulz | Uploaded own work with UploadWizard |
File usage
The following 3 pages use this file:
Global file usage
The following other wikis use this file:
- Usage on de.wiki.x.io
- Usage on mk.wiki.x.io
- Usage on ro.wiki.x.io
.png){kind=link}