Module gdal_sys::GDALResampleAlg[][src]

Constants

GRA_Average

Average (computes the weighted average of all non-NODATA contributing pixels)

GRA_Bilinear

Bilinear (2x2 kernel)

GRA_Cubic

Cubic Convolution Approximation (4x4 kernel)

GRA_CubicSpline

Cubic B-Spline Approximation (4x4 kernel)

GRA_Lanczos

Lanczos windowed sinc interpolation (6x6 kernel)

GRA_Max

Max (selects maximum of all non-NODATA contributing pixels)

GRA_Med

Med (selects median of all non-NODATA contributing pixels)

GRA_Min

Min (selects minimum of all non-NODATA contributing pixels)

GRA_Mode

Mode (selects the value which appears most often of all the sampled points)

GRA_NearestNeighbour

Nearest neighbour (select on one input pixel)

GRA_Q1

Q1 (selects first quartile of all non-NODATA contributing pixels)

GRA_Q3

Q3 (selects third quartile of all non-NODATA contributing pixels)

GRA_Sum

Sum (computes the weighed sum of all non-NODATA contributing pixels). Added in GDAL 3.1

Type Definitions

Type

Warp Resampling Algorithm