Reducing the loss of information and gaining accuracy with clustering methods in a global land-use model
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Outputs with high resolution may be aggregated via clustering methods to provide insights, while at coarser resolution, statistical downscaling can help to disaggregate data to an appropriate spatial resolution, as seen in applications such as crop yield, wind speed or surface temperature.
“Outputs with high resolution may be aggregated via clustering methods to provide insights [183], while at coarser resolution, statistical downscaling can help to disaggregate data to an appropriate spatial resolution, as seen in applications such as crop yield [249], wind speed [479] or surface temperature [481].”
From Tackling climate change with machine learning (2023) · cites this paper as [183]
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(2021) · Geoscientific model development · doi:10.5194/gmd-2021-76-rc1
(2021) · Geoscientific model development · doi:10.5194/gmd-2021-76-rc2
Mishra, A. (2021) · Geoscientific model development · doi:10.5194/gmd-2021-76-ac3
(2021) · Geoscientific model development · doi:10.5194/gmd-2021-76-ec1
Mishra, A. (2021) · Geoscientific model development · doi:10.5194/gmd-2021-76-ac2
Mishra, A. (2021) · Geoscientific model development · doi:10.5194/gmd-2021-76-ac1
- Authors
- Dietrich, J. P., Popp, A., & Lotze-Campen, H.
- Affiliations
- Humboldt-Universität zu Berlin (DE)
- Potsdam Institute for Climate Impact Research (DE)
- Corresponding author
- Dietrich, Jan Philipp
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 263
- Pages
- 233-243
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W1985296730
- Cited by
- 50
- References
- 42
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 8 · 2023: 4 · 2022: 6 · 2021: 8 · 2020: 1 · 2019: 1 · 2018: 5 · 2017: 3 · 2016: 3 · 2015: 5 · 2014: 3
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Ecological Modelling (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agriculture, Land Use, Rural Development
- Keywords
- land use modeling, spatial aggregation, clustering algorithms, information conservation, bottom-up clustering, computational efficiency, model accuracy, spatial scale
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