# Tag Info

10

The reference (in the US, at least) is John Snyder's Map Projections--A Working Manual. The entire monograph is available as a Google book. Introductory sections give the theory. The theory is accessible to someone with a working knowledge of multivariate calculus. Emphasis is on documenting formulas, primarily series expansions needed for subsequent ...

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I've always referred to "Map Projections: A Working Manual", 1987, Snyder, John P. USGS Professional Paper: 1395 which is available as a PDF to download.

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Openstreetmap uses the same tile naming as Google Maps. You find a lot of formulas to calculate them here: http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames

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More detailed and with all the information you need, the Coordinate Conversions and Transformations including Formulas document gives you a detailed explanation of the map projections and the formulas necessary for executing coordinate conversions and transformations (suported by the EPSG dataset).

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I liked Datums and Map Projections: For Remote Sensing, GIS and Surveying from Jonathan IIiffe and Roger Lott. Make sure you grab the second edition. However, it still has some errors. Nevertheless you get some examples to practice.

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The value k = 0.0818191908426 is referred to as the First Eccentricity of the Earth. This value is used in equations to convert between coordinate system values of position, such as lat-long-alt to ECEF coordinates.

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The distortion in MODIS imagery people mostly worry about is the well known Bowtie effect due to whiskbroom scanning. The Sinusoidal projection, or Sanson-Flamsteed, is an equal area projection and thusly both tiles you mentioned cover roughly the same area and have identical pixel sizes.

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According to links provided by Andre Joost, I found the translation. And this is the projection for google.maps: function MProjection() { } MProjection.prototype.fromLatLngToPoint = function(latlng) { var x = (latlng.lng() + 180) / 360 * 256; var y = ((1 - Math.log(Math.tan(latlng.lat() * Math.PI / 180) + 1 / Math.cos(latlng.lat() * Math.PI / 180)) /...

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If FalconView requires NaturalOriginLongitude, it uses a different projection method: Lambert Canonical Standard Parallel 2 uses false origin*; it is SP1 that uses natural origin long/lat, scale, and false easting/northing. The first change in your headers needs to be all-around SP1. Since these are all relative coordinates using the same math (just an ...

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