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Traversing and the Closing Error

Watch one loop fail to shut, then be adjusted closed — and find out why a traverse closing to 1:20000 can still sit twenty metres from where it thinks it is.

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A traverse resolves each measured leg into latitude and departure, which must each sum to zero around a closed loop — and the gap that remains is the closing error, judged as a fraction of the perimeter and then distributed back through the legs.

The computation

Each leg is measured for length and bearing, then resolved into a latitude (north-south) and a departure (east-west). The survey becomes two columns of signed numbers, and the geometry becomes arithmetic — which is why the method survived unchanged from the theodolite era into total-station practice.

The free check

Walking a closed loop returns you to the start, so both columns must sum to zero. That gives an arithmetic check on the whole survey, catching gross errors — a transposed digit, a misread bearing — without any extra fieldwork.

It never sums to exactly zero. The closing error √(ΣL² + ΣD²) is the physical distance between the computed end point and the known start, and it is the most honest single measure of the survey's quality.

Judging it

Relative precisionQualityTypical use
1:500RejectBelow any usable standard
1:1000RoughPreliminary reconnaissance
1:5000OrdinaryMost engineering and cadastral work
1:20000PreciseControl networks, deformation monitoring

A closing error means nothing without the perimeter it accumulated over — 10 mm over 200 m is excellent, and the same 10 mm over 20 m is a blunder. That is why specifications are written as ratios and never as distances.

Adjustment

Bowditch's rule distributes the closing error among the legs in proportion to their lengths, assuming error accumulates with distance — which holds for chained and taped work where the linear measurement is the weaker one. The transit rule assumes the angular measurement is weaker instead.

Modern practice uses least squares, weighting every observation by its estimated precision. But adjustment only makes a figure self-consistent — a systematic error, such as a mis-standardised tape, survives it untouched and closes just as neatly as good work.

What closure does not prove

A closed loop proves internal consistency and nothing about absolute position. A traverse can close to 1:20000 and sit twenty metres from where it believes it is. Only tying to externally known stations, or to GNSS control, checks position.

Which is the whole-to-part principle in a different vocabulary: the framework must come from outside the detail, not from within it.

The numbers you will be asked for

Latitude and departure

L = D·cos θ · Dep = D·sin θ

Closure condition

ΣL = 0 and ΣDep = 0, for a closed loop

Closing error

e = √(ΣL² + ΣDep²)

Relative precision

e / perimeter, expressed as 1:n

Bowditch correction

correction to a leg = e × (leg length / perimeter)

Transit correction

correction ∝ that leg's own latitude or departure

Watch it work

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Check yourself

question 1 / 4

One question at a time. Pick an answer to see why it is right or wrong, then move on — there is no score to keep and nothing is saved.

Why must the latitudes and departures each sum to zero around a closed traverse?
A traverse closes to 10 mm. Is that good?
What does Bowditch's rule assume?
A traverse closes beautifully to 1:20000. What does that prove?

0 / 4

4 still unanswered — the dots above jump straight to them.

 

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