Point Data Interpolation

GUI Python for point cloud gridding and GeoTIFF generation, with optional boundary shapefile export.

Supports .xyz, .csv, .txt, and .pts point files containing X/Y/Z data.

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✨ Features

• Multiple input formats: .xyz, .csv, .txt, .pts (auto delimiter detection).
• Flexible CRS handling:
  • Specify input EPSG code.
  • Specify output EPSG (defaults to input).
  • Automatically converts 1 m base resolution to degrees for geographic CRS (e.g., EPSG:4326).
• Interpolation algorithms:
  • Nearest neighbor — configurable k, search radius, and aggregation (mean, nearest, median).
  • Inverse Distance Weighting (IDW) — configurable k, search radius, and power.
  • TIN — triangulated irregular network via scipy.LinearNDInterpolator.
  • Ordinary Kriging (optional, requires pykrige).
• Parameter auto-enable — only relevant parameters are active for the chosen algorithm.
• Outputs:
  • GeoTIFF raster.
  • Optional polygon boundary as Shapefile (footprint or convex hull), with buffer/simplify options.
• Batch processing:
  • Add multiple files at once or scan entire folders.
  • Output file names are based on input names.
• Preview resolution in degrees when output CRS is geographic.
• User-friendly PyQt6 GUI — no coding required for basic use.

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📦 Dependencies

Install Python 3.9+ and required packages:

pip install numpy pandas scipy rasterio shapely fiona pyproj PyQt6
# Optional: for Kriging
pip install pykrige

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🚀 Usage

Run the application:

python pointgrid_gui_pyqt6.py

• Add one or more point files (.xyz, .csv, .txt, .pts).

• Set Input EPSG and optionally Output EPSG.

• Choose grid resolution (meters; converted to degrees automatically if needed).

• Select interpolation algorithm and configure parameters.

• Choose whether to export GeoTIFF, boundary Shapefile, or both.

• Start processing.

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🗺 Output Example

• data.tif — interpolated raster in the selected output CRS.

• data_boundary.shp — optional polygon boundary.