Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Map Projections Minimizing Distance Errors

Bibliographic Data

ID14701924
AuthorsJ Richard Gott (1Department of Astrophysical Sciences / Princeton University / Princeton / USA, corresponding author), Charles Mugnolo (1Department of Astrophysical Sciences / Princeton University / Princeton / USA), Wesley N Colley (2Center for Modelling, Simulation and Analysis / University of Alabama in Huntsville / Huntsville / AL / USA)
Year2007
Volume42
Issue3
Pages219-234
Publication date2007-09-01
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/carto.42.3.219
OpenAlexW2165940373
LanguageEN
Citations received4
References cited14

Maps convey important information about distances between pairs of points. It is therefore desirable to minimize the errors made in representing distances between pairs of points on maps. Since it is just as bad to have two points on the map at twice their proper separation as to have them at half their proper separation, it is the root-mean-square (rms) logarithmic distance between random points in the mapped region that we will minimize. The best previously known projection of the entire sphere for distances is the Lambert equal-area azimuthal, with an rms logarithmic distance error of σ = 0.343. By way of comparison, the Mercator projection has σ = 0.444 and the Mollweide, σ = 0.390. We present three new projections – the Gott equal-area elliptical, with perfect shapes on the central meridian; the Gott-Mugnolo equal-area elliptical; and the Gott-Mugnolo azimuthal, with rms logarithmic distance errors of σ = 0.365, σ = 0.348, and σ = 0.341 respectively – that improve on previous projections of their type. The Gott-Mugnolo azimuthal projection has the lowest distance errors of any map and is produced by a new technique using “forces” between pairs of points on a map, which make the points move so as to minimize σ. The Gott equal-area elliptical projection produces a particularly attractive map of Mars, and the Gott-Mugnolo azimuthal projection produces an interesting map of the Moon, both of which we also show

Algorithm · Atlas (anatomy · Azimuth · Combinatorics · Geodesy · Geography · Geometry · Logarithm · Map projection · Mathematical analysis · Mercator projection · Projection (relational algebra · Computer Science · Geophysics and Gravity Measurements · Historical Geography and Cartography · Mathematics · Satellite Image Processing and Photogrammetry · Artificial Intelligence · Geology

  • A statistical reinterpretation and assessment of criteria used for measuring map projection distortion

    Krisztián Kerkovits•Cartography and Geographic…•2020

  • Understanding the links between inherited built forms and urban design

    Luna Khirfan•Urban Morphology•2010

  • Flexion and Skewness in Map Projections of the Earth

    David M Goldberg, J Richard Gott•Cartographica The International…•2007

  • Traces on the palimpsest

    Open Access•Luna Khirfan•Cities•2010

  • The Homolosine Projection

    J P Goode•Annals of the Association of…•1925

  • Flexion and Skewness in Map Projections of the Earth

    David M Goldberg, J Richard Gott•Cartographica The International…•2007

  • New Projections for World Maps / a Quantitative Perceptive Approach

    Frank Canters•Cartographica The International…•1989

  • Part 1

    Peter Laskowski•Cartographica The International…•1997

  • Part 2

    Peter Laskowski•Cartographica The International…•1997

  • A Diamond Anniversary

    John C Hudson•Annals of the Association of…•1979

  • The Power of Projections

    D R Fraser Taylor•Cartographica The International…•2007

Citations per year0.21
Citation span2007 - 2020 (14)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae