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
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 These results also indicate the Sinusoidal and Hammer projections to be largely outdated, imposing too large distortions to be useful.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.

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: 𝗜𝗦𝗥𝗜𝗖:𝟭𝟱𝟮𝟭𝟲𝟬 - 𝗧𝗵𝗲 𝗛𝗼𝗺𝗼𝗹𝗼𝘀𝗶𝗻𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗮 𝗕𝗶𝗴 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸