TY  - JOUR
A1  - Müller, Sebastian
A1  - Schüler, Lennart
A1  - Zech, Alraune
A1  - Heße, Falk
T1  - GSTools v1.3: a toolbox for geostatistical modelling in Python
T2  - Geoscientific model development : an interactive open access journal of the European Geosciences Union
N2  - 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.
Y1  - 2022
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/63163
SN  - 1991-959X
SN  - 1991-9603
VL  - 15
IS  - 7
SP  - 3161
EP  - 3182
PB  - Copernicus
CY  - Göttingen
ER  -