katch wreck`Common in the 1960s, the Goode #homolosine #projection is often called an "orange-peel map" because of its resemblance to the flattened rind of a hand-peeled orange. In its most common form, the map interrupts the North Atlantic, the South Atlantic, the South Pacific, the Indian Ocean, and the entire east/west meridian of the map.`
Luรญs de SousaA growing number of global studies using the #Homolosine projection. There is life beyond Mercator.
#StopMercator
@Raf Nice to see the #Homolosine projection in use.
Another argument given for Mercator is cost. ๐๐ถ ๐ค๐ฐ๐ฏ๐ต๐ณ๐ข๐ช๐ณ๐ฆ, an equal-area projection guarantees the cheapest means to produce and serve tiles, with a minimum number of raster cells and tiles. This is why #SoilGrids is computed and served on the #Homolosine.
It is also worth noting that many equal-area projections preserve angles remarkably well, particularly those with more that one interruption, like the #Homolosine or the #Eumorphic. There was an article some years back quantifying this.
Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices
This study compares the performance of five popular equal-area projections supported by Free and Open Source Software for Geo-spatial (FOSS4G)—Sinusoidal, Mollweide, Hammer, Eckert IV and Homolosine. A set of 21,872 discrete distortion vindicatrices were positioned on the ellipsoid surface, centred on the cells of a Snyder icosahedral equal-area grid. These indicatrices were projected on the plane and the resulting angular and distance distortions computed, all using FOSS4G. The Homolosine is the only projection that manages to minimise angular and distance distortions simultaneously. It yields the lowest distortions among this set of projections and clearly outclasses when only land masses are considered. These results also indicate the Sinusoidal and Hammer projections to be largely outdated, imposing too large distortions to be useful. In contrast, the Mollweide and Eckert IV projections present trade-offs between visual expression and accuracy that are worth considering. However, for the purposes of storing and analysing big spatial data with FOSS4G the superior performance of the Homolosine projection makes its choice difficult to avoid.
#Homolosine projection now merged into #GeoTools. Thanks to @[email protected] for the initial encouragement, @[email protected] for sorting out the #Eclipse set-up and last but not least @[email protected] for all the testing and co-domain handling. #OSGeo
Reprojecting bounding boxes is a fundamentally flawed idea. Not in the least because it is delaying my contribution of the #Homolosine
projection to #GeoTools.
https://github.com/geotools/geotools/pull/2830#issuecomment-616729919
Just noticed CBS News uses the #Homolosine projection as a backdrop. Some history below.
http://dancirucci.blogspot.com/2012/01/new-cbs-this-morning-includes-cronkites.html
The results of this study and more on the #Homolosine will be presented at @FOSS4G
, on Thursday the 29th of August at 10h30 in the Bolero room: ๐๐ฆ๐ฅ๐๐:๐ญ๐ฑ๐ฎ๐ญ๐ฒ๐ฌ - ๐ง๐ต๐ฒ ๐๐ผ๐บ๐ผ๐น๐ผ๐๐ถ๐ป๐ฒ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐ฎ ๐๐ถ๐ด ๐ฆ๐ฝ๐ฎ๐๐ถ๐ฎ๐น ๐๐ฎ๐๐ฎ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ
, on Thursday the 29th of August at 10h30 in the Bolero room: ๐๐ฆ๐ฅ๐๐:๐ญ๐ฑ๐ฎ๐ญ๐ฒ๐ฌ - ๐ง๐ต๐ฒ ๐๐ผ๐บ๐ผ๐น๐ผ๐๐ถ๐ป๐ฒ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐ฎ ๐๐ถ๐ด ๐ฆ๐ฝ๐ฎ๐๐ถ๐ฎ๐น ๐๐ฎ๐๐ฎ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ
Here is the reason why @[email protected]
is now using the #Homolosine projection in its digital soil mapping workflows. Huge savings in space and computation time at the expense of little map distortion. Read it all here: https://www.mdpi.com/2220-9964/8/8/351/htm
is now using the #Homolosine projection in its digital soil mapping workflows. Huge savings in space and computation time at the expense of little map distortion. Read it all here: https://www.mdpi.com/2220-9964/8/8/351/htm
Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices
This study compares the performance of five popular equal-area projections supported by Free and Open Source Software for Geo-spatial (FOSS4G)—Sinusoidal, Mollweide, Hammer, Eckert IV and Homolosine. A set of 21,872 discrete distortion vindicatrices were positioned on the ellipsoid surface, centred on the cells of a Snyder icosahedral equal-area grid. These indicatrices were projected on the plane and the resulting angular and distance distortions computed, all using FOSS4G. The Homolosine is the only projection that manages to minimise angular and distance distortions simultaneously. It yields the lowest distortions among this set of projections and clearly outclasses when only land masses are considered. These results also indicate the Sinusoidal and Hammer projections to be largely outdated, imposing too large distortions to be useful. In contrast, the Mollweide and Eckert IV projections present trade-offs between visual expression and accuracy that are worth considering. However, for the purposes of storing and analysing big spatial data with FOSS4G the superior performance of the Homolosine projection makes its choice difficult to avoid.