INGENIA

SRV-07

Linear traverse closure

e = √(Ex²+Ey²), precision = e / perimeter.

Reading speed
TraversingFGCCISO 17123

Governing equation

e=Ex2+Ey2,p=e/Le=\sqrt{E_x^2+E_y^2},\quad p=e/\sum L

where

E_x
Easting closure (m)
E_y
Northing closure (m)
\sum L
Perimeter (m)
e
Linear misclosure (m)
1:N
Relative precision N ()

Lecture brief

Historical brief

From chain and theodolite through Bowditch’s compass-rule (1802) to GPS PDOP, surveying is the propagation of small errors across a network. These sheets close traverses, reduce stadia and state map scale. This sheet (SRV-07 — Linear traverse closure) is the form associated with FGCC · ISO 17123. Working symbols: ExE_x, EyE_y, L\sum L \rightarrow ee, 1:N1:N. Vector closure of a polygon is the residual of summed latitudes and departures; relative precision is e over the perimeter.

Purpose

Purpose: compute ee, 1:N1:N from ExE_x, EyE_y, L\sum L in Surveying via e=Ex2+Ey2,p=e/Le=\sqrt{E_x^2+E_y^2},\quad p=e/\sum L e = √(Ex²+Ey²), precision = e / perimeter. Use it when a real surveying question must be answered in SI before a code check.

Live realistic example

In symbols

Live case. Given Ex=0.120mE_x = 0.120\,\mathrm{m}, Ey=0.080mE_y = -0.080\,\mathrm{m}, L=1200.000m\sum L = 1200.000\,\mathrm{m}, the governing relation e=Ex2+Ey2,p=e/Le=\sqrt{E_x^2+E_y^2},\quad p=e/\sum L yields e=0.1442me = 0.1442\,\mathrm{m}, 1:N=83211:N = 8321\,\mathrm{—}. Closed loop. Enter component closures and perimeter. Move a slider: the numbers are this situation, not a canned story.

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Inputs

Outputs

  • Linear misclosure e0.1442 m
  • Relative precision N 1:N8321
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SRV-07 · curve
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Narration of this film

Closed loop. Enter component closures and perimeter.

Vector closure of a polygon is the residual of summed latitudes and departures; relative precision is e over the perimeter.

Reading speed

Watch on YouTube