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Aeronautical chart on Lambert conformal conic projection with standard parallels at 33°N and 45°N. A Lambert conformal conic projection (LCC) is a conic map projection used for aeronautical charts, portions of the State Plane Coordinate System, and many national and regional mapping systems.
Most state plane zones are based on either a transverse Mercator projection or a Lambert conformal conic projection. The choice between the two map projections is based on the shape of the state and its zones. States that are long in the east–west direction are typically divided into zones that are also long east–west.
A sectional chart is a two-sided chart created from a Lambert Conformal Conic Projection [1] with two defined standard parallels. The scale is 1:500,000, with a contour interval of 500 feet. The size of each sectional is designed to be "arm's width" when completely unfolded.
Usually clipped near 80°N/S. Standard world projection of the NGS in 1922–1988. c. 150: Equidistant conic = simple conic: Conic Equidistant Based on Ptolemy's 1st Projection Distances along meridians are conserved, as is distance along one or two standard parallels. [3] 1772 Lambert conformal conic: Conic Conformal Johann Heinrich Lambert
Printable version; Page information; ... 1:1,000,000 scale Operational Navigation Chart, Sheet F-5, 6th edition. ... * Lambert Conformal Conic Projection. ** Standard ...
Conformal projections are generally preferred. Common map projections include the transverse Mercator (used in Universal Transverse Mercator, the British National Grid, the State Plane Coordinate System for some states), Lambert conformal conic (some states in the SPCS), and Mercator (Swiss coordinate system).
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In cartography, a conformal map projection is one in which every angle between two curves that cross each other on Earth (a sphere or an ellipsoid) is preserved in the image of the projection; that is, the projection is a conformal map in the mathematical sense. For example, if two roads cross each other at a 39° angle, their images on a map ...