Editing Talk:1407: Worst Hurricane
Please sign your posts with ~~~~ |
Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.
The edit can be undone.
Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 5: | Line 5: | ||
:And the map is too small scale to really represent what you would get if actually asked people - for instance, in Fort Lauderdale it's unlikely anyone would say Andrew was worst (having been thru both Andrew and Wilma, I'd say Wilma was worse, but old timers in Fort Lauderdale would say the 1947 hurricane was worst).{{unsigned ip|108.162.238.182}} | :And the map is too small scale to really represent what you would get if actually asked people - for instance, in Fort Lauderdale it's unlikely anyone would say Andrew was worst (having been thru both Andrew and Wilma, I'd say Wilma was worse, but old timers in Fort Lauderdale would say the 1947 hurricane was worst).{{unsigned ip|108.162.238.182}} | ||
− | |||
− | |||
Hurricane Audrey was in June 1957.{{unsigned|Jkrstrt}} | Hurricane Audrey was in June 1957.{{unsigned|Jkrstrt}} | ||
Line 41: | Line 39: | ||
<br /> | <br /> | ||
::Not really. That doesn't distinguish between hurricanes which were the worse over a small area, and the worse over a large area. A less bad hurricane that by chance hasn't been topped in a small locality has the same weight as a more intense one that was the worse over large tracts of land. What I was thinking of was colouring the map according to date - start at hue 0 (red) in 1914 and end at hue 200 (magenta) in 2014. The problem is that the potential sample bias mentioned would lead to a apparent trend to worser hurricanes, so any map so coloured wouldn't necessarily represent the reality of the record. {{unsigned ip|141.101.98.187}} | ::Not really. That doesn't distinguish between hurricanes which were the worse over a small area, and the worse over a large area. A less bad hurricane that by chance hasn't been topped in a small locality has the same weight as a more intense one that was the worse over large tracts of land. What I was thinking of was colouring the map according to date - start at hue 0 (red) in 1914 and end at hue 200 (magenta) in 2014. The problem is that the potential sample bias mentioned would lead to a apparent trend to worser hurricanes, so any map so coloured wouldn't necessarily represent the reality of the record. {{unsigned ip|141.101.98.187}} | ||
− | |||
− | |||
− | |||
That's beautiful but I thought it would be more like the tables here:http://en.wikipedia.org/wiki/List_of_elements (maybe not the best example) but each vertical column would be ordered so we'd have dates, states, severity, etc. Just basically like a grid. Maybe I was alone in that thought. {{unsigned ip|173.245.56.152}} | That's beautiful but I thought it would be more like the tables here:http://en.wikipedia.org/wiki/List_of_elements (maybe not the best example) but each vertical column would be ordered so we'd have dates, states, severity, etc. Just basically like a grid. Maybe I was alone in that thought. {{unsigned ip|173.245.56.152}} | ||
− | <!-- excuse me if I can't work out the indenting needed for the following comment, or proper place... - /signed/ The author of the following addition | + | <!-- excuse me if I can't work out the indenting needed for the following comment, or proper place... - /signed/ The author of the following addition --> |
− | Suggestion: HSL model (or perhaps | + | Suggestion: HSL model (or perhaps HSL) colour-space applied on the map such that Hue (say Red/0° up to Magenta/300°, the long way round) represents the year of a given hurricane, Saturation (if only to cash in on the obvious pun) depicts actual rainfall and Luminosity/Lightness or 'brightness' Value or the Intensity value (whatever it is you're using) can show windspeeds. If anyone can go back to the source data (which Randall has) it might even be possible to blend neighbouring zones together, although with this system that'd risk (say) a 1914 (Red-hued) hurricane neighbouring a 1954 one (Green-hued) giving a yellowed zone between them that might looking like an intersticial 1934 storm area (with rainfall/windspeed qualities based upon the combinatorial method you use). However, sticking to just the 'areas of majority', you could either flood-fill with their worst/greatest/typical HS''X'' or (if the source data gives the required granularity) gradient it to show how (for example) 1995 Opal tails off into Tennessee, if my US geography is correct, while showing how Ivan's path interleaves the former patchily but (where it shows through against its competitors) doesn't evaporate, just get outdone. IYSWIM [[Special:Contributions/141.101.99.7|141.101.99.7]] 12:38, 15 August 2014 (UTC) |
:Restructured the list into a table. Would you like to fill in the states (I'm not familiar enough with US geography)? [[User:Condor70|Condor70]] ([[User talk:Condor70|talk]]) 06:38, 15 August 2014 (UTC) | :Restructured the list into a table. Would you like to fill in the states (I'm not familiar enough with US geography)? [[User:Condor70|Condor70]] ([[User talk:Condor70|talk]]) 06:38, 15 August 2014 (UTC) | ||
The 105 year old comment is probably based on the earliest storm shown on the map being 1915 Galveston; you'd have to be 105 years old to remember that one.{{unsigned ip|108.162.238.182}} | The 105 year old comment is probably based on the earliest storm shown on the map being 1915 Galveston; you'd have to be 105 years old to remember that one.{{unsigned ip|108.162.238.182}} | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− |