GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation
The interpolation of geospatial phenomena is a common problem in Earth science applications that can be addressed with geostatistics, where spatial correlations are used to constrain interpolations. In certain applications, it can be particularly useful to a perform geostatistical simulation, which...
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ftdoajarticles:oai:doaj.org/article:3c586be7eeee4b1ca2830e5b9a547f57 2023-07-30T04:03:53+02:00 GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation E. J. MacKie M. Field L. Wang Z. Yin N. Schoedl M. Hibbs A. Zhang 2023-07-01T00:00:00Z https://doi.org/10.5194/gmd-16-3765-2023 https://doaj.org/article/3c586be7eeee4b1ca2830e5b9a547f57 EN eng Copernicus Publications https://gmd.copernicus.org/articles/16/3765/2023/gmd-16-3765-2023.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-16-3765-2023 1991-959X 1991-9603 https://doaj.org/article/3c586be7eeee4b1ca2830e5b9a547f57 Geoscientific Model Development, Vol 16, Pp 3765-3783 (2023) Geology QE1-996.5 article 2023 ftdoajarticles https://doi.org/10.5194/gmd-16-3765-2023 2023-07-09T00:34:04Z The interpolation of geospatial phenomena is a common problem in Earth science applications that can be addressed with geostatistics, where spatial correlations are used to constrain interpolations. In certain applications, it can be particularly useful to a perform geostatistical simulation, which is used to generate multiple non-unique realizations that reproduce the variability in measurements and are constrained by observations. Despite the broad utility of this approach, there are few open-access geostatistical simulation software applications. To address this accessibility issue, we present <code>GStatSim</code>, a Python package for performing geostatistical interpolation and simulation. <code>GStatSim</code> is distinct from previous geostatistical tools in that it emphasizes accessibility for non-experts, geostatistical simulation, and applicability to remote sensing data sets. It includes tools for performing non-stationary simulations and interpolations with secondary constraints. This package is accompanied by a Jupyter Book with user tutorials and background information on different interpolation methods. These resources are intended to significantly lower the technological barrier to using geostatistics and encourage the use of geostatistics in a wider range of applications. We demonstrate the different functionalities of this tool for the interpolation of subglacial topography measurements in Greenland. Article in Journal/Newspaper Greenland Directory of Open Access Journals: DOAJ Articles Greenland Geoscientific Model Development 16 13 3765 3783 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
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Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 E. J. MacKie M. Field L. Wang Z. Yin N. Schoedl M. Hibbs A. Zhang GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation |
topic_facet |
Geology QE1-996.5 |
description |
The interpolation of geospatial phenomena is a common problem in Earth science applications that can be addressed with geostatistics, where spatial correlations are used to constrain interpolations. In certain applications, it can be particularly useful to a perform geostatistical simulation, which is used to generate multiple non-unique realizations that reproduce the variability in measurements and are constrained by observations. Despite the broad utility of this approach, there are few open-access geostatistical simulation software applications. To address this accessibility issue, we present <code>GStatSim</code>, a Python package for performing geostatistical interpolation and simulation. <code>GStatSim</code> is distinct from previous geostatistical tools in that it emphasizes accessibility for non-experts, geostatistical simulation, and applicability to remote sensing data sets. It includes tools for performing non-stationary simulations and interpolations with secondary constraints. This package is accompanied by a Jupyter Book with user tutorials and background information on different interpolation methods. These resources are intended to significantly lower the technological barrier to using geostatistics and encourage the use of geostatistics in a wider range of applications. We demonstrate the different functionalities of this tool for the interpolation of subglacial topography measurements in Greenland. |
format |
Article in Journal/Newspaper |
author |
E. J. MacKie M. Field L. Wang Z. Yin N. Schoedl M. Hibbs A. Zhang |
author_facet |
E. J. MacKie M. Field L. Wang Z. Yin N. Schoedl M. Hibbs A. Zhang |
author_sort |
E. J. MacKie |
title |
GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation |
title_short |
GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation |
title_full |
GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation |
title_fullStr |
GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation |
title_full_unstemmed |
GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation |
title_sort |
gstatsim v1.0: a python package for geostatistical interpolation and conditional simulation |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/gmd-16-3765-2023 https://doaj.org/article/3c586be7eeee4b1ca2830e5b9a547f57 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Geoscientific Model Development, Vol 16, Pp 3765-3783 (2023) |
op_relation |
https://gmd.copernicus.org/articles/16/3765/2023/gmd-16-3765-2023.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-16-3765-2023 1991-959X 1991-9603 https://doaj.org/article/3c586be7eeee4b1ca2830e5b9a547f57 |
op_doi |
https://doi.org/10.5194/gmd-16-3765-2023 |
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Geoscientific Model Development |
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