Comparing resampling methods in massivegeopackage

There are a number of different resampling methods available in massivegeopackage. This article describes a benchmark to compare the processing time for each method when used on a typical dataset.

Method

Benchmark dataset

Resolution	12.5m
File size	713 MB
File count	76

The benchmark was performed by running massivegeopackage on a typical topographical dataset covering Norway (N250). The test was run 6 times for each resampling method. The first run for each method was discarded to control for any OS level caching.

Result

In massivegeopackage, the default resampling method is average, so we use that as a baseline. The column "Fraction" denotes the percentage difference between average and each other resampling method.

Resampling methods benchmark

Method	Average time	Fraction
average	42.45	100%
nearest	38.50	91%
bilinear	57.66	136%
cubic	61.80	146%
cubicspling	60.64	143%
lanczos	66.82	157%
gauss	54.28	128%