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Fill NoData by IDW Interpolation

Overview

Inverse distance weighting (IDW) estimates unknown values from nearby known points, with closer points contributing more strongly. It is suitable for converting discrete observations into a continuous raster surface or filling raster gaps from nearby valid samples.

Use Cases

  • Convert monitoring stations, sample points, or observation points into a continuous raster surface.
  • Prepare spatially continuous inputs for temperature, rainfall, or pollutant-concentration analysis.
  • Generate a regular grid before zonal statistics, threshold extraction, or map production.

Parameters

ParameterDescriptionNotes
Input vector fileVector file containing interpolation pointsRequired
Interpolation fieldNumeric field used for interpolationRequired
PowerDistance-decay power. Higher values increase the influence of nearby pointsRequired; default: 2.0
Smoothing parameterSmoothing parameter. 0 means no smoothingRequired; default: 0.0
Search radius 1Search radius in the X direction. 0 means automatic calculationRequired; default: 0.0
Search radius 2Search radius in the Y direction. 0 means automatic calculationRequired; default: 0.0
Rotation angleRotation angle of the search area in degrees; counterclockwise is positiveRequired; default: 0.0
Maximum search pointsMaximum number of search points. 0 means unlimitedRequired; default: 0
Minimum search pointsMinimum number of search points. 0 means unlimitedRequired; default: 0
Include all touched pixelsControls whether all touched pixels are includedOptional; default: False
Invert pixel selectionControls whether pixel selection is invertedOptional; default: False
Interpolation areaCoordinate system, resolution, and extent settings for the output rasterOptional
Output raster fileOutput raster fileRequired

Steps

  1. Start the tool: Open Geoprocessing Toolbox → Spatial Analysis Tools > Raster Synthesis > Fill NoData, then start the Fill NoData by IDW Interpolation tool pane.
  2. Prepare input: Select the Input vector file, Interpolation field, and Interpolation area, then confirm that the data is complete and readable.
  3. Set core parameters: Configure Interpolation field, Power, Smoothing parameter, and search settings based on the analysis goal.
  4. Set output: Specify the Output raster file and confirm that the output path, format, and naming rules meet downstream requirements.
  5. Run and inspect the result: Click Run, then check whether the output value range, distribution, and raster extent meet expectations.

Notes

  • IDW is sensitive to point distribution and outliers. Check source data before interpolation.
  • Use a projected coordinate system when distance parameters are used; avoid treating longitude and latitude as planar distances.
  • Sparse or unevenly distributed samples can reduce the reliability of the continuous surface.