Version 1.4

This repository contains a docker image for geostatistical data processing using standardized input and outputs.
This is based on the template for a generic containerized Python tool.

Currently, there are three tools implemented:

1. Geostatistical variogram estimation
2. Kriging interpolation
3. Geostatistical simulation

In order to run an interpolation or simulation,you need to provide a valid variogram first. The variogram tool is accompanied
by extensive plotting to validate its geospatial robustness.
Variograms can be calculated for spatially distributed samples, or spatially dense fields. You need to provide either of
both inputs. If a field is used, it is highly recommended to subsample it instead of resolving all coordinates into a sample.
The tool defaults to a maximum sample size of 1000, which can be disabled by setting the sample_size parameter to -1.

To identify the spatial coordinates, the tool will look for standard column names, namely:
x, y, lon, lat, longitude, latitude. It is recommended to use projected data, but in case of field information, the
tool will reproject to the most likely UTM zone. Samples are never reprojected.

Samples with more than one non-spatial column will be estimated as cross-variograms. Fields with more than one variable
will yield multiple variograms. If many variograms are estimated, the kriging and simulation tools can iterate over
many inputs.

Version 1.3.3

This version migrated to json2args==0.4.0, which now uses parameter.json instead of ambiguous tool.json default file names

What's Changed

• updated tutorial by @mmaelicke in #2
• Rename json parameters by @AlexDo1 in #1

New Contributors

• @mmaelicke made their first contribution in #2
• @AlexDo1 made their first contribution in #1

Full Changelog: v1.3.2...v1.3.3

Version 1.3.2

Patch release updated json2args==0.3.0 for using .dat files

Version 1.3.1

Bugfix version for output file formats. Since version v1.3 the geostatistics toolbox uses json2args to load parameter and needs to save arrays as .dat files.

Version 1.3

Introduced more tools for sampling and cross-validation.
Drpped the dependency to tool-runner, now uses json2args

Version 1.2

The Variogram output is unified and always build by the same function, to produce consistent results across all tools.
In addition, skgstat_uncertainty has been added as a dependency into the container and the 'sample' tool was added.

Full Changelog: v1.1.0...v1.2.0

Version 1.1

Version 1.1 added the geostatistical simulation tool, which is based on GSTools CondSRF.

Full Changelog: v1.0.0...v1.1.0

First release

First version of skgstat_container containing only two tools:

• variogram for Variogram estimation
• kriging for interpolation based on the output of variogram

Full Changelog: https://github.com/KIT-HYD/skgstat_container/commits/v1.0.0