Comparing resampling methods in massivegeopackage

From Maria GDK Wiki
Revision as of 14:13, 8 September 2026 by Mbu (talk | contribs) (Created page with "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 == {| class="wikitable" |+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 res...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

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 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
cubicspling 60.64
lanczos 66.82
gauss 54.28