Archaeology / Electrical Resistivity Profiling
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LABORATORY 03 · ARCHAEOLOGY

Electrical Resistivity Profiling lab report

A worked electrical resistivity profiling lab report with sample observation tables, regression plots, calculations, and error analysis.

WORKED EXAMPLE · BENCHMARK OBSERVATIONS

A complete example archaeology laboratory report.

Simulated demonstration data.

This report illustrates formal archaeological data reduction, instrument calibration tares, and parameter estimation. Replace its observations with your own experimental telemetry when preparing an archaeology laboratory report submission.

Student: __________________Student ID: __________________Course: __________________Date: __________________Partner: __________________Instructor: __________________

1. Title and aim

Electrical Earth Resistivity Surveying: Wenner Array & Buried Feature Inversion. Map buried stone foundations, ditches, and sunken archaeological features by measuring apparent soil resistivity (rho_a) using a multi-electrode Wenner array.

2. Abstract

Laboratory evaluation of Electrical Earth Resistivity Surveying: Wenner Array & Buried Feature Inversion was conducted across six calibrated setpoints under standard laboratory conditions. Measured empirical telemetry was reduced and linearized, yielding an ordinary least-squares correlation coefficient R² = 1.000000. The experimental parameter Stratigraphic Resistivity Gradient was estimated as 38.5000 Ω·m/m, comparing against the standard reference benchmark of 38.5000 Ω·m/m with a relative percentage deviation of 0.0000%.

3. Apparatus and fixed settings

4. Theory and graph choice

Map buried stone foundations, ditches, and sunken archaeological features by measuring apparent soil resistivity (rho_a) using a multi-electrode Wenner array.

ρ_a = 38.5000 · a + 65.0000

Plotting Electrode inter-spacing a (m) on the horizontal abscissa against Apparent resistivity ρ_a (Ω·m) on the vertical ordinate demonstrates the linear governing response predicted by Electrical Resistivity Profiling archaeometric formulations.

5. Method

  1. Inspect all optical, electrical, and radiometric sensors. Verify instrument calibration against certified reference materials and perform electronic zero tare.
  2. Clean, dry, or prepare the archaeological sample according to standardized micro-analytical protocols to eliminate modern surface contamination.
  3. Mount the specimen securely within the sensor housing or establish spatial grid coordinates. Verify alignment of the electrode inter-spacing with primary excavation datum.
  4. Increment the electrode inter-spacing systematically across the designated domain (0.5 to 3.0 m), permitting full signal equilibration at each measurement station.
  5. Record the primary dependent variable (Apparent Earth Resistivity ρ_a) alongside auxiliary environmental monitors. Validate signal stability and confirm low noise thresholds.
  6. Cycle the sensor through a verification standard to confirm zero baseline drift, de-energize primary drives, and export all digital telemetry observations to the persistent laboratory database.

6. Observations and calculation table

All archaeological observations use strictly controlled 64-bit IEEE 754 precision buffers under conditioned equilibrium. Residuals are computed relative to the ordinary least-squares regression line.

Table 1. Six simulated observations; x and y represent transformed archaeological metrics.
No.Wenner Electrode Inter-Spacing a (m)Apparent Earth Resistivity ρ_a (Ω·m)Electrode inter-spacing a (m)Apparent resistivity ρ_a (Ω·m)Fitted yResidual
10.584.250.500084.250084.25000.0000
21.0103.51.0000103.5000103.50000.0000
31.5122.751.5000122.7500122.75000.0000
42.0142.02.0000142.0000142.00000.0000
52.5161.252.5000161.2500161.25000.0000
63.0180.53.0000180.5000180.50000.0000

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

x = 0.5000; y = 84.2500; fitted_y = 38.5000 · x + 65.0000 = 84.2500

8. Graph, gradient and final calculation

0.3879.440.93100.611.48121.792.02142.962.58164.143.12185.31Electrode inter-spacing a (m)Apparent resistivity ρ_a (Ω·m)

Circular markers represent empirical observations. The solid line represents the ordinary least-squares linear fit.

x̄ = 1.7500; ȳ = 132.3750
Σ(x − x̄)² = 4.3750
Σ(x − x̄)(y − ȳ) = 168.4375
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 38.50000000
b = ȳ − mx̄ = 65.00000000
Stratigraphic Resistivity Gradient = 38.50000 Ω·m/m

9. Uncertainty and comparison

Percentage difference = |estimate − theoretical value| / |theoretical value| × 100 = 0.0000%.

For n = 6 observations, Σresidual² = 0.0000; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 0.0000. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 0.0000.

Propagating the fit parameters yields a fit standard error of 0.0000 Ω·m/m, with an ideal coefficient of determination R² = 1.000000.

Instrumental and regression uncertainty for Electrical Resistivity Profiling is constrained within 0.02% of certified calibration reference materials.

10. Result and discussion

Stratigraphic Resistivity Gradient = 38.5000 Ω·m/m
Theoretical reference value: 38.5000 Ω·m/m

Experimental observations across all six trials demonstrate rigorous agreement with governing analytical models. OLS linear regression yielded slope m = 38.500000 and intercept b = 65.000000, validating the governing equation ρ_a = 38.5000 · a + 65.0000 with R² = 1.000000.

11. Precautions and limitations

Archaeometric interpretations assume verified conservation standards and absence of modern contamination. Diagenetic weathering models apply within verified geological limits.

12. Conclusion

The experimental determination of Electrical Earth Resistivity Surveying: Wenner Array & Buried Feature Inversion confirmed the analytical model within an experimental uncertainty of 0.0000%. Standardized calibration protocols ensure high laboratory repeatability.

In-Depth Technical Supplement & Archaeological Science Derivation

1. Title and Objective

Electrical Earth Resistivity Surveying: Wenner Array & Buried Feature Inversion. Map buried stone foundations, ditches, and sunken archaeological features by measuring apparent soil resistivity (rho_a) using a multi-electrode Wenner array. This formal laboratory report documents experimental data acquisition, mathematical model calibration, regression analysis, error propagation, and physical parameter extraction for electrical resistivity profiling.

2. Abstract

An experimental investigation of electrical resistivity profiling was conducted using precision archaeometric instrumentation across six systematic setpoints of electrode inter-spacing ranging from 0.5 to 3.0 m. All archaeological specimens were prepared, cleaned, and conditioned under controlled laboratory environments prior to evaluation. Measured apparent earth resistivity ρ_a data were logged using calibrated digital transducers, multi-channel telemetry systems, and optical sensors. Ordinary least-squares regression yielded an empirical calibration line of ρ_a = 38.5000 · a + 65.0000 with a coefficient of determination R² = 1.000000. The derived experimental parameter Stratigraphic Resistivity Gradient was evaluated as 38.5 Ω·m/m, demonstrating complete agreement with theoretical benchmark expectations within 0.02% experimental error.

3. Experimental Apparatus & Standard Settings

  • Electrical Resistivity Profiling Workstation & Field Sensor Rig: Provides rigid calibrated mounting, standardized environmental control, and precise positioning for four-electrode geoelectric array, geometric factor 2πa, buried masonry vs humic ditch anomaly contrast.
  • Calibrated Digital Archaeometric Transducer & Sensor Head: Quantifies physical, chemical, or optical responses with high baseline sensitivity and ±0.05% measurement accuracy.
  • Multi-Channel Digital Telemetry Data Logger (Class 0.2): Samples resistance, potential, magnetic flux, optical absorbance, and temperature at 1 kHz with 24-bit resolution.
  • Precision Specimen Preparation & Thin-Section Polishing Rig: Prepares microscopic petrographic sections, resin-embedded blocks, or powder samples under controlled thickness (30 μm).
  • Certified Archaeological & Geological Reference Standards Set: Provides verified isotopic, elemental, or dimensional benchmarks before establishing electrode inter-spacing setpoints.
  • Grounded Shielded Instrumentation Leads & Environmental Enclosure: Eliminates stray electromagnetic interference, electrostatic charge drift, and thermal fluctuations in field laboratories.
  • Environmental Ambient Conditions: Ambient laboratory temperature 20.0 ± 0.5 °C; relative humidity 50.0 ± 2.0%; atmospheric pressure 101.325 kPa.
  • Pre-Treatment & Cleaning Protocol: Certified solvent cleaning and ultrasonic bath decontamination applied to isolate authentic endogenous signals.

4. Theory & Graphical Coordinate Selection

According to the governing principles of electrical resistivity profiling, the physical archaeometric response follows the linear transformation:

ρ_a = 38.5000 · a + 65.0000

To evaluate the intrinsic physical parameter (Stratigraphic Resistivity Gradient), the experimental data are plotted with Electrode inter-spacing a (m) on the horizontal abscissa and Apparent resistivity ρ_a (Ω·m) on the vertical ordinate. The gradient of the resulting least-squares linear line directly yields the parameter magnitude.

5. Step-by-Step Experimental Method

  1. Apparatus Calibration & Baseline Standard Verification: Inspect all optical, electrical, and radiometric sensors. Verify instrument calibration against certified reference materials and perform electronic zero tare.
  2. Specimen Conditioning & Matrix Preparation: Clean, dry, or prepare the archaeological sample according to standardized micro-analytical protocols to eliminate modern surface contamination.
  3. Sensor Alignment & Baseline Datum Acquisition: Mount the specimen securely within the sensor housing or establish spatial grid coordinates. Verify alignment of the electrode inter-spacing with primary excavation datum.
  4. Systematic Parameter Variation & Acquisition: Increment the electrode inter-spacing systematically across the designated domain (0.5 to 3.0 m), permitting full signal equilibration at each measurement station.
  5. Multi-Channel Telemetry Recording & Signal Integration: Record the primary dependent variable (Apparent Earth Resistivity ρ_a) alongside auxiliary environmental monitors. Validate signal stability and confirm low noise thresholds.
  6. Post-Test Verification & Digital Archive Export: Cycle the sensor through a verification standard to confirm zero baseline drift, de-energize primary drives, and export all digital telemetry observations to the persistent laboratory database.

6. Raw Experimental Observations & Data Tabulation

All experimental observations were recorded under steady-state thermal and mechanical equilibrium. The table below summarizes the recorded telemetry across the experimental domain.

Table 1. Experimental observation telemetry for Electrical Resistivity Profiling.
Trial # Wenner Electrode Inter-Spacing a (m) Apparent Earth Resistivity ρ_a (Ω·m) Transformed x Transformed y Residual
10.50.50.50000.5000.000
21.01.01.00001.0000.000
31.51.51.50001.5000.000
42.02.02.00002.0000.000
52.52.52.50002.5000.000
63.03.03.00003.0000.000

7. Worked Calculation for Representative Observation

For Trial 3 (Electrode Inter-Spacing = 1.5 m):

x_3 = 1.5 m
y_3 = 38.5000 · (1.5) = 1.5 Ω·m

The calculated point aligns precisely with the least-squares regression line, demonstrating excellent instrument linearity.

8. Telemetric Graphical Representation

The scatter plot displays measured Apparent Earth Resistivity ρ_a against Electrode Inter-Spacing. The empirical slope directly yields Stratigraphic Resistivity Gradient = 38.5 Ω·m/m with R² = 1.000000.

9. Ordinary Least-Squares (OLS) Regression Analysis

Linear regression parameters were calculated using standard formulas:

m = \frac{N \sum xy - \sum x \sum y}{N \sum x^2 - (\sum x)^2} = 38.5000
R^2 = 1.000000

The coefficient of determination confirms an optimal linear model without systematic curvature across the test range.

10. Sources of Experimental Uncertainty & Error Propagation

Potential sources of uncertainty include sample inhomogeneity, micro-taphonomic weathering, baseline instrument drift, and ambient temperature fluctuations. Standard error of the regression slope is less than 0.0001, verifying high precision.

11. Discussion of Anthropological & Archaeological Significance

The validated empirical relationship directly reinforces core archaeological theory. By confirming Stratigraphic Resistivity Gradient = 38.5 Ω·m/m, researchers can reliably interpret stratigraphic chronology, sourcing patterns, and cultural behaviors from physical material evidence.

12. Conclusions & Methodological Recommendations

The experiment successfully established the quantitative validity of Electrical Earth Resistivity Surveying: Wenner Array & Buried Feature Inversion. For future field investigations, incorporating multi-element geostatistical mapping and high-resolution micro-CT scanning is recommended.

Simulated demonstration data.