Data · dataset · 2015
Mapping of topsoil texture in Hungary using classification trees
Listed in DataCite
Spatial information about physical soil properties is in great demand, being basic input data in numerous applications.
Description
Soil texture can be characterized by different approaches, such as particle size distribution, plasticity index or soil texture classification. In accordance with the increasing demands for spatial soil texture information, our aim was to compile a topsoil texture class map for Hungary with an appropriate spatial resolution, using the United States Department of Agriculture soil texture classes.
The ‘Classification and Regression Trees’ method was applied because it is widely used in Digital Soil Mapping, and has numerous advantages. Primary soil data were provided by the Hungarian Soil Information and Monitoring System. A digital elevation model and its derived components, geological and land cover map, and appropriate remotely sensed products together with the soil map featuring overall physical properties provided by the Digital Kreybig Soil Information System were used as auxiliary environmental co-variables.
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The resulting map can be used as direct input data in meteorological and hydrological modelling as well as in spatial planning.
Links
Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Mapping_of_topsoil_texture_in_Hungary_using_c… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1608693 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/17445647.2015.1113896 doi.org/10.1080/17445647.2015.1113896 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1608693 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1608693 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Chemical sciences · Computer and information sciences · Earth and related environmental sciences · Sociology
- From keywords
- Medicine & Health · Social Science
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1608693 | 15 d ago | JSON v1 |
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| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:chemical-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:earth-and-related-environmental-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:sociology | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Medicine'] |
| concepts[field].local:field:social-science | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
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