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, medium sized raster 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. For each method, we compare execution time relative to the baseline. Negative values indicate faster execution; positive values indicate slower execution.

Resampling methods benchmark

Method	Average time (seconds)	Difference vs. baseline
average	42.45	0%
nearest	38.50	-9%
bilinear	57.66	36%
cubic	61.80	46%
cubicspline	60.64	43%
lanczos	66.82	57%
gauss	54.28	28%