Model averaging for mapping topsoil organic carbon in France
• Three SOC maps were compared in mainland France. • Five model averaging approaches were tested in improving SOC map. • SOC map can be improved using more than 100 soil samples for model averaging. • Variance Weighted approach performed best. • Merging maps using model averaging is also applicable...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Songchao [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers - Diahovchenko, Illia ELSEVIER, 2023, an international journal of soil science, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:366 ; year:2020 ; day:1 ; month:05 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.geoderma.2020.114237 |
|---|
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| 520 | |a • Three SOC maps were compared in mainland France. • Five model averaging approaches were tested in improving SOC map. • SOC map can be improved using more than 100 soil samples for model averaging. • Variance Weighted approach performed best. • Merging maps using model averaging is also applicable to data-poor situations. | ||
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| 650 | 7 | |a Digital soil mapping |2 Elsevier | |
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10.1016/j.geoderma.2020.114237 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000936.pica (DE-627)ELV049620436 (ELSEVIER)S0016-7061(19)31651-9 DE-627 ger DE-627 rakwb eng 620 VZ 52.52 bkl 53.31 bkl 53.39 bkl Chen, Songchao verfasserin aut Model averaging for mapping topsoil organic carbon in France 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Three SOC maps were compared in mainland France. • Five model averaging approaches were tested in improving SOC map. • SOC map can be improved using more than 100 soil samples for model averaging. • Variance Weighted approach performed best. • Merging maps using model averaging is also applicable to data-poor situations. Bias-corrected Variance Weighted Elsevier Digital soil mapping Elsevier Data-poor countries Elsevier Sample size requirement Elsevier Soil organic carbon Elsevier Mulder, Vera Leatitia oth Heuvelink, Gerard B.M. oth Poggio, Laura oth Caubet, Manon oth Román Dobarco, Mercedes oth Walter, Christian oth Arrouays, Dominique oth Enthalten in Elsevier Science Diahovchenko, Illia ELSEVIER Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers 2023 an international journal of soil science Amsterdam [u.a.] (DE-627)ELV010107800 volume:366 year:2020 day:1 month:05 pages:0 https://doi.org/10.1016/j.geoderma.2020.114237 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_40 GBV_ILN_70 52.52 Thermische Energieerzeugung Wärmetechnik VZ 53.31 Elektrische Energieübertragung VZ 53.39 Elektrische Energietechnik: Sonstiges VZ AR 366 2020 1 0501 0 |
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Model averaging for mapping topsoil organic carbon in France |
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| title_full |
Model averaging for mapping topsoil organic carbon in France |
| author_sort |
Chen, Songchao |
| journal |
Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers |
| journalStr |
Assessment and mitigation of the influence of rising charging demand of electric vehicles on the aging of distribution transformers |
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eng |
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600 - Technology |
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marc |
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2020 |
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Chen, Songchao |
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366 |
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620 VZ 52.52 bkl 53.31 bkl 53.39 bkl |
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Elektronische Aufsätze |
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Chen, Songchao |
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10.1016/j.geoderma.2020.114237 |
| dewey-full |
620 |
| title_sort |
model averaging for mapping topsoil organic carbon in france |
| title_auth |
Model averaging for mapping topsoil organic carbon in France |
| abstract |
• Three SOC maps were compared in mainland France. • Five model averaging approaches were tested in improving SOC map. • SOC map can be improved using more than 100 soil samples for model averaging. • Variance Weighted approach performed best. • Merging maps using model averaging is also applicable to data-poor situations. |
| abstractGer |
• Three SOC maps were compared in mainland France. • Five model averaging approaches were tested in improving SOC map. • SOC map can be improved using more than 100 soil samples for model averaging. • Variance Weighted approach performed best. • Merging maps using model averaging is also applicable to data-poor situations. |
| abstract_unstemmed |
• Three SOC maps were compared in mainland France. • Five model averaging approaches were tested in improving SOC map. • SOC map can be improved using more than 100 soil samples for model averaging. • Variance Weighted approach performed best. • Merging maps using model averaging is also applicable to data-poor situations. |
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| title_short |
Model averaging for mapping topsoil organic carbon in France |
| url |
https://doi.org/10.1016/j.geoderma.2020.114237 |
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true |
| author2 |
Mulder, Vera Leatitia Heuvelink, Gerard B.M. Poggio, Laura Caubet, Manon Román Dobarco, Mercedes Walter, Christian Arrouays, Dominique |
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Mulder, Vera Leatitia Heuvelink, Gerard B.M. Poggio, Laura Caubet, Manon Román Dobarco, Mercedes Walter, Christian Arrouays, Dominique |
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10.1016/j.geoderma.2020.114237 |
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2024-07-06T22:05:29.314Z |
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