Cartographic Projection
every map is wrong, and by exactly how much
Concept

Redundancy number — where it appears

The share of an error in one observation that survives into the residuals of a least-squares adjustment rather than being absorbed into the coordinates. It is fixed by the geometry of the observations alone, and it decides both what a residual can detect and what removing the error costs.

Named by 3 essays across 2 fields — each of them below, with the objects they name alongside it.

How large a blunder has to be before the test notices. A blunder of increasing size put into the least-checked observation of a braced quadrilateral, with the standardised residual it produces. The horizontal line is the critical value the test uses, and the vertical one is the minimal detectable bias — δ₀σ/√r, which is 87 millimetres for this observation and is computed from the network's DESIGN, before any observation is made. Below it nothing is flagged; above it everything is. The observation's redundancy number is 0.144, so it is checked by a seventh of an observation and hides six-sevenths of whatever is wrong with it.

The blunder the network cannot see

A least-squares adjustment has no concept of a mistake. The smallest blunder its test will find in the least-checked leg of a braced quadrilateral is 87 millimetres, and by the time it fires a station has moved by nearly ten times the accuracy the same adjustment reports for it.

practice · Reduction Four lines of position, two unknowns, and four gaps that do not close. Four bodies at azimuths of 20°, 110°, 200°, 290° from the ship, each sight given an independent error of about 2 km along its azimuth. No point lies on all four lines. The least-squares point — the hollow dot — is the one whose squared distances to the four lines are smallest, and the dashed perpendiculars are those distances: 0.31, 2.83, 0.32, 2.83 km. The ship, the solid dot, is 3.21 km away. Three lines would have left a triangle and no residual worth the name; four leave two degrees of freedom, and the four gaps are the first quantity here that can be read as a measurement of the sights themselves.

The residual reports the error the fix was immune to

A fourth sight gives a four-line fit something three lines never had: a leftover. The leftover is a real measurement of the sights, and it is useless exactly where it is needed. One number computed from the four azimuths alone — before any star is observed — says how much of a common error reaches the residual, and it is 1 when the bodies stand at the quarters of the compass, where such an error moves the fix by nothing at all, and 0.004 when they are bunched within sixty degrees, where it moves the fix by two kilometres.

paths · Position fix Two defensible answers from the same four sights, and they are kilometres apart. Four bodies within sixty degrees of one another at azimuths of 60°, 80°, 100°, 120°, each sight carrying an independent error of about 2 km and the same common error of 3 km. The four lines are nearly parallel, so a step towards every body at once is almost exactly a step to the south. The two-unknown least-squares point takes that step and lands 3.66 km from the ship; the three-unknown fit, which solves for the common error as well, refuses it and lands 2.22 km away — its estimate of the common error being 1.87 km. Neither is wrong. They are the two ends of one exchange.

What the extra unknown costs where nothing can see it

Four lines of position can estimate a common error in every sight as well as the position. The estimate is honest — three kilometres put in comes back as 2.8 — and where the residual is blind, its scatter is plus or minus thirty-one, and the fix that carries it is scattered fourteen kilometres from the ship against the biased fix's two and a half. Letting the residual choose between the two is worse than either, because a test with no power is a one-in-twenty lottery on the worse answer.

paths · Position fix

Named alongside it

The objects these essays reach for when they reach for this one.

Least-squaresResidualAzimuthDegrees of freedomEstimatorNavigationVerificationAdjustmentBaardaBlunderConformalityCovariance

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