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Map projections for global and continental data sets and an analysis of pixel distortion caused by reprojection

Photogrammetric Engineering and Remote Sensing
By: , and 

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Abstract

In global change studies the effects of map projection properties on data quality are apparent, and the choice of projection is significant. To aid compilers of global and continental data sets, six equal-area projections were chosen: the interrupted Goode Homolosine, the interrupted Mollweide, the Wagner IV, and the Wagner VII for global maps; the Lambert Azimuthal Equal-Area for hemisphere maps; and the Oblated Equal-Area and the Lambert Azimuthal Equal-Area for continental maps. Distortions in small-scale maps caused by reprojection, and the additional distortions incurred when reprojecting raster images, were quantified and graphically depicted. For raster images, the errors caused by the usual resampling methods (pixel brightness level interpolation) were responsible for much of the additional error where the local resolution and scale change were the greatest.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Map projections for global and continental data sets and an analysis of pixel distortion caused by reprojection
Series title Photogrammetric Engineering and Remote Sensing
Volume 61
Issue 12
Year Published 1995
Language English
Publisher ASPRS
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 11 p.
First page 1487
Last page 1497