Traverse.

Least-Squares Survey Traverse Adjustment · POC
DATUM LOCAL GRID
UNITS METRES · DEGREES
METHOD PARAMETRIC L.S.Q

Compute and rigorously adjust a closed-loop survey traverse. Enter your fixed control, the measured bearings and distances around the loop, and the tool computes the linear misclosure, runs a parametric least-squares adjustment, and returns adjusted station coordinates with full residual statistics.

Core relations
Latitude (ΔN) = L·cos θ
Departure (ΔE) = L·sin θ
θ = bearing · L = distance
F.01

Misclosure

Latitude / departure closure error, linear misclosure and relative precision (1:N).

F.02

L.S.Q Adjustment

Weighted parametric Gauss-Newton solution with full cofactor matrix and σ₀ statistics.

F.03

Error Ellipses

95% confidence ellipses per station, plotted and tabulated — true positional precision.

F.04

Blunder Detection

Baarda data snooping & global χ² test pinpoint the bad observation automatically.

F.05

Export

Plotted network, printable report, and CSV export of coordinates, ellipses & residuals.

F.06

AI Analyst

Free, key-less AI: parse messy field notes into the table and get a plain-English diagnosis.

Fixed Control & Observation Quality

Inputs
a-priori st.dev
arc-seconds

AI Quick Entry

paste field notes → table
Paste raw field-book text in any format — the assistant extracts the start station, bearings & distances and fills the table. Runs free via the built-in model here, or on-device in Chrome.

Traverse Legs — Bearings & Distances

closed loop
# From To station Bearing θ (deg or D-M-S) Distance L (m)

Closure & Adjustment Summary

Diagnostics

Reliability & Blunder Detection

Baarda data snooping · global χ² test

AI Adjustment Analyst

plain-English diagnosis
Interprets the numbers and recommends accept / re-observe / investigate.

Network Plot

raw vs adjusted
Raw (observed) Adjusted Station 95% error ellipse

Adjusted Coordinates

solution
StationType Easting (m)Northing (m) Shift dE (mm)Shift dN (mm)

Positional Precision

95% error ellipses
Station Semi-major a (mm)Semi-minor b (mm) Orientation θMax point error (mm)

Observation Residuals

v = obs − computed · w̄ = standardized
Leg Dist obs (m)v dist (mm)w̄ dist Brg obsv brg (″)w̄ brg

Adjustment Report