This article is written in British English with Oxford spelling (colour, realize, organization, analyse; note that -ize is used instead of -ise) and some terms that are used in it may be different or absent from other varieties of English. According to the relevant style guide, this should not be changed without broad consensus. |
A fact from Warming stripes appeared on Wikipedia's
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check views). The text of the entry was as follows:
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An editor has asked for a discussion to address the redirect Stripe diagram. Please participate in the redirect discussion if you wish to do so. signed, Rosguill talk 18:13, 8 August 2019 (UTC)
I've just learned that this image was chosen as a Featured picture. See:
Click at right to show/hide preliminary comments
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I've written a Microsoft Excel .xlsx spreadsheet file that semi-automates generation of SVG files of warming stripes graphics, so you don't have to buy really expensive software. You simply paste a vertical list of temperatures or other data. The spreadsheet automatically generates a column of cells containing xml code, each cell representing one "stripe" per cell. Simply copy that column and paste it into a text editor (TextEdit for Mac, presumably Notepad for Windows), and save the text file as
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Update:
I've uploaded .xlsx (Microsoft Excel) spreadsheets that automatically generate XML code for charts in SVG format.
You simply paste or enter your data into the spreadsheet, and specify image dimensions, number of grid lines, font sizes, etc. The spreadsheet instantly and automatically generates a column of XML code that you simply copy and paste into a text editor and save as an ".svg" file. The spreadsheets produce lean SVG code, avoiding the "extra stuff" that Inkscape inserts. They should save you time in creating SVG charts.
Feedback and suggestions on my talk page are welcome. RCraig09 ( talk) 23:41, 19 February 2021 (UTC)
Examples (warming stripes):
Hello! This is to let editors know that File:20181204 Warming_stripes_(global,_WMO,_1850-2018)_-_Climate_Lab_Book_(Ed_Hawkins).png, a featured picture used in this article, has been selected as the English Wikipedia's picture of the day (POTD) for November 3, 2023. A preview of the POTD is displayed below and can be edited at Template:POTD/2023-11-03. For the greater benefit of readers, any potential improvements or maintenance that could benefit the quality of this article should be done before its scheduled appearance on the Main Page. If you have any concerns, please place a message at Wikipedia talk:Picture of the day. Thank you! — Amakuru ( talk) 16:14, 27 October 2023 (UTC)
Warming stripes (sometimes referred to as climate stripes or climate timelines) are graphics that use a series of chronologically ordered coloured stripes to visualize trends in the temperature record of Earth. They employ a minimalist style, avoiding technical distractions by using colour alone to intuitively convey trends in global warming to non-scientists. The initial concept of visualizing historical temperature data has been extended to use animations, to visualize sea level rise and predictive climate data, and to visually juxtapose temperature trends with other data series, such as the concentration of carbon dioxide in Earth's atmosphere, global glacier retreat, precipitation, the contribution of aviation emissions to global warming, and biodiversity loss. These warming stripes were published by the British climatologist Ed Hawkins in 2018, using data from the World Meteorological Organization. The colours represent the annual mean global temperature for each year from 1850 (left) to 2018 (right) – the progression from blue (cooler) to red (warmer) stripes is indicative of global warming. Graphic credit: Ed Hawkins
Recently featured:
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Hello ! I would like to promote Warming Stripes as featured picture in Commons ! Could you come and vote for it ? Effco ( talk) 15:33, 4 November 2023 (UTC)
Uwappa ( talk) 09:39, 11 December 2023 (UTC)
This article is written in British English with Oxford spelling (colour, realize, organization, analyse; note that -ize is used instead of -ise) and some terms that are used in it may be different or absent from other varieties of English. According to the relevant style guide, this should not be changed without broad consensus. |
A fact from Warming stripes appeared on Wikipedia's
Main Page in the
Did you know column on 16 August 2019 (
check views). The text of the entry was as follows:
|
This article is rated B-class on Wikipedia's
content assessment scale. It is of interest to the following WikiProjects: | ||||||||||||||||||||||||||||||||||||||||||||
|
An editor has asked for a discussion to address the redirect Stripe diagram. Please participate in the redirect discussion if you wish to do so. signed, Rosguill talk 18:13, 8 August 2019 (UTC)
I've just learned that this image was chosen as a Featured picture. See:
Click at right to show/hide preliminary comments
|
---|
I've written a Microsoft Excel .xlsx spreadsheet file that semi-automates generation of SVG files of warming stripes graphics, so you don't have to buy really expensive software. You simply paste a vertical list of temperatures or other data. The spreadsheet automatically generates a column of cells containing xml code, each cell representing one "stripe" per cell. Simply copy that column and paste it into a text editor (TextEdit for Mac, presumably Notepad for Windows), and save the text file as
|
Update:
I've uploaded .xlsx (Microsoft Excel) spreadsheets that automatically generate XML code for charts in SVG format.
You simply paste or enter your data into the spreadsheet, and specify image dimensions, number of grid lines, font sizes, etc. The spreadsheet instantly and automatically generates a column of XML code that you simply copy and paste into a text editor and save as an ".svg" file. The spreadsheets produce lean SVG code, avoiding the "extra stuff" that Inkscape inserts. They should save you time in creating SVG charts.
Feedback and suggestions on my talk page are welcome. RCraig09 ( talk) 23:41, 19 February 2021 (UTC)
Examples (warming stripes):
Hello! This is to let editors know that File:20181204 Warming_stripes_(global,_WMO,_1850-2018)_-_Climate_Lab_Book_(Ed_Hawkins).png, a featured picture used in this article, has been selected as the English Wikipedia's picture of the day (POTD) for November 3, 2023. A preview of the POTD is displayed below and can be edited at Template:POTD/2023-11-03. For the greater benefit of readers, any potential improvements or maintenance that could benefit the quality of this article should be done before its scheduled appearance on the Main Page. If you have any concerns, please place a message at Wikipedia talk:Picture of the day. Thank you! — Amakuru ( talk) 16:14, 27 October 2023 (UTC)
Warming stripes (sometimes referred to as climate stripes or climate timelines) are graphics that use a series of chronologically ordered coloured stripes to visualize trends in the temperature record of Earth. They employ a minimalist style, avoiding technical distractions by using colour alone to intuitively convey trends in global warming to non-scientists. The initial concept of visualizing historical temperature data has been extended to use animations, to visualize sea level rise and predictive climate data, and to visually juxtapose temperature trends with other data series, such as the concentration of carbon dioxide in Earth's atmosphere, global glacier retreat, precipitation, the contribution of aviation emissions to global warming, and biodiversity loss. These warming stripes were published by the British climatologist Ed Hawkins in 2018, using data from the World Meteorological Organization. The colours represent the annual mean global temperature for each year from 1850 (left) to 2018 (right) – the progression from blue (cooler) to red (warmer) stripes is indicative of global warming. Graphic credit: Ed Hawkins
Recently featured:
|
Hello ! I would like to promote Warming Stripes as featured picture in Commons ! Could you come and vote for it ? Effco ( talk) 15:33, 4 November 2023 (UTC)
Uwappa ( talk) 09:39, 11 December 2023 (UTC)