What is the problem with the Goode Homolosine projection?

What is the problem with the Goode Homolosine projection?

Distortion. Goode homolosine is an equal-area (equivalent) projection. Shapes, directions, angles, and distances are generally distorted.

How is the Goode Homolosine projection made?

The Interrupted Goode Homolosine map projection is composed from twelve discrete regions that combine to form six interrupted lobes. The two northern regions are often presented with land areas repeated in both regions, allowing these land areas to be shown without interruption.

What is the problem with the Robinson projection?

Distortion. The Robinson projection is neither conformal nor equal-area. It generally distorts shapes, areas, distances, directions, and angles. The distortion patterns are similar to common compromise pseudocylindrical projections.

What kind of projection is Goode’s homolosine projection?

Goode’s homolosine projection is a combination of the Mollweide and sinusoidal projections. The Mollweide projection is used for north of 40° 44′ and south of -40° 44′, approximately.

Why does projected raster data have inconsistent extent but not?

So the data extent doesn’t quite match what the extent of a Goode’s Homolosine projection is, and triggers the “not consistent extent” warning. A workaround is to reproject the original raster in ArcMap and then export it using the data frame’s coordinate system.

When did John Paul Goode develop the homolosine map?

Goode’s homolosine map projection is designed to minimize distortion for the entire world. It is an interrupted pseudocylindrical equal-area projection. John Paul Goode developed the projection in 1925.

How are the local angles represented in ArcGIS?

Areas are represented accurately. Local angles are correct along the central meridians of the lobes and the equator in the sinusoidal portion but distorted elsewhere. The scale along all parallels in the sinusoidal part (between +/-40° 44′) and the central meridians of the lobes of the projection is accurate.