Visualize 3D Spatial Data

Users can paste coordinate data (Contour, Value, and Work Area) to instantly generate an interactive 3D model. This model displays the ground surface, a 3D shape based on a specific value (isosurface), and project boundaries, which can be freely rotated, zoomed, and inspected.

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Analyze and Calculate

The tool allows for in-depth analysis through several features:

• 2D Slicing: Use sliders to view cross-sections of the model's interior.

• Volume Calculation: Instantly calculate the volume of material that meets three criteria: above a Cut-Off Value, inside the Work Area, and below the Contour Surface.

• Real-time Control: Adjusting the cut-off value immediately updates the 3D model and the calculated volume. A button is also available to toggle the contour surface's visibility for clearer analysis.

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Combined Geological Visualisation

1. Contour Data Input (X, Y, Elevation) - Grid Format 1,1,10 2,1,12 3,1,15 4,1,13 5,1,11 1,2,12 2,2,15 3,2,18 4,2,16 5,2,14 1,3,14 2,3,17 3,3,20 4,3,18 5,3,16 1,4,12 2,4,15 3,4,18 4,4,16 5,4,14 1,5,10 2,5,12 3,5,15 4,5,13 5,5,11 2. Input Data Values (X, Y, Z, Value) - Optional 1.5 2.5 13 45 P1 2.5 3.5 18 52 P2 3.5 2.5 17 47 P3 4.5 3.5 15 61 P4 2.5 4.5 14 55 P5 3.5 1.5 14 58 P6 3. Input Work Area (X, Y) - Optional 1.5,1.5 4.5,1.5 4.5,4.5 1.5,4.5

Interpolation Cut-Off Value:

Result:

Click the button above to create an initial visualisation with the template data.

Volume Calculation Results: -

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The following is a summary of the steps for determining the value of data using the IDW method:

1. Determine the target point to be predicted and collect variable data from the sample points.

2. Calculate the distance between the target point and each sample. If using 3D coordinates (X, Y, Z), use Euclidean distance:

\[ d_i = \sqrt{(X_0 - X_i)^2 + (Y_0 - Y_i)^2 + (Z_0 - Z_i)^2} \]

3. Calculate the weight of each sample using:

4. Multiply the weight by the sample value, then sum up all the results. The power parameter $p$ is usually 2.

\[ w_i = \frac{\dfrac{1}{d_i^p}}{\sum_{j=1}^{n} \dfrac{1}{d_j^p}} \]

5. The sum is the estimated value at the target point, with automatically greater weight given to samples that are closer.

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YOUR WORKSPACE

Enter data (X, Y, Z, Value) from Excel (copy-paste):
100 200 10 45 105 210 15 52 110 220 20 47 115 230 25 61 120 240 30 55

Select Method: IDW

Target Coordinates (X, Y, Z):
X: Y: Z:

Prediction Result:

Visualization:

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Reference:
Sarita, R., Lepong, P., & Asmaidi. (2024). Analisis interpolasi inverse distance weighted (IDW) dan ordinary kriging (OK) untuk estimasi volume batubara di area Sebuku Kalimantan Selatan. Jurnal Geosains Kutai Basin, 7(1), 1–15. E-ISSN 2615-5176.