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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.