Spatial Interpolation Method Selector

Select optimal interpolation methods using machine learning validation

1

Data Input

Generate Sample Data

Load CSV Data

Data Preview

Points: 0

Name X Y Z
No data loaded yet
2

Distribution Analysis

Z-Value Histogram

Spatial Distribution

Distribution Fitting Results

Normal Distribution

Mean: -

Std Dev: -

GoF: -

Log-Normal Distribution

Location: -

Scale: -

GoF: -

Exponential Distribution

Rate: -

GoF: -

Recommended

Distribution: -

Confidence: -

3

Cross-Validation Testing

Testing Configuration

Interpolation Methods

Geostatistical Methods
Best for spatially correlated data with known variogram
Simple and efficient for evenly distributed data
Spline-Based Methods
Creates a smooth surface with minimum bending
Excellent for smooth interpolation of scattered data
Piecewise polynomial fitting with smoothness constraints
Triangulation Methods
Creates a surface from triangulated irregular network
Weighted average based on Voronoi polygons
Trend & Regression Methods
Fits a polynomial surface to the data points
Models regional trends in the data
Assigns value of the nearest sample point

Testing Progress

4

Method Selection & Map Visualization

Select Interpolation Method

Map Settings

Interpolated Contour Map

Select an interpolation method and generate a map to visualize results

5

Method Information & Best Practices

Select Method for Information

Quick Navigation

Select an interpolation method to view detailed information