Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/gmd-15-3161-2022
Licence creative commons licence
Title (Primary) GSTools v1.3: a toolbox for geostatistical modelling in Python
Author Müller, S.; Schüler, L.; Zech, A.; Heße, F.
Journal Geoscientific Model Development
Year 2022
Department CHS
Volume 15
Issue 7
Page From 3161
Page To 3182
Language englisch
Topic T5 Future Landscapes
Data and Software links
Abstract Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in many applications of, for example, earth sciences. Valuable information can be extracted from these correlations, also helping to address the often encountered burden of data scarcity. Despite the value of additional data, the use of geostatistics still falls short of its potential. This problem is often connected to the lack of user-friendly software hampering the use and application of geostatistics. We therefore present GSTools, a Python-based software suite for solving a wide range of geostatistical problems. We chose Python due to its unique balance between usability, flexibility, and efficiency and due to its adoption in the scientific community. GSTools provides methods for generating random fields; it can perform kriging, variogram estimation and much more. We demonstrate its abilities by virtue of a series of example applications detailing their use.
Persistent UFZ Identifier
Müller, S., Schüler, L., Zech, A., Heße, F. (2022):
GSTools v1.3: a toolbox for geostatistical modelling in Python
Geosci. Model Dev. 15 (7), 3161 - 3182