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Cite as:
Lie&szlig;, M. (2016): <b>Soil organic carbon stocks in the ECSF area (spatial prediction).</b> <i>Available online (http://www.tropicalmountainforest.org/data_pre.do?citid=1477) from DFG-FOR816dw.</i>

Resource Description

Title: Soil organic carbon stocks in the ECSF area (spatial prediction)
Short Name: SOC spatial ECSF
FOR816dw ID: 1477
Publication Date: 2016-05-31
Last Update Date: 2016-05-31
License and Usage Rights: Ließ et al. (2016), Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLoS ONE, 11(4): e0153673. doi:10.1371/journal.pone.0153673
Temporal Coverage:
Begin: 2011-03-01
End: 2015-12-31
Geographic Coverage:
Geographic Description: ECSF DEM 10m
Bounding Coordinates:
- lon/lat [degrees]
- WGS 84
North: Information not publicly available, please log in. Max: 3163.0 ( meter )
West: Information not publicly available, please log in. East: Information not publicly available, please log in. Elevation
South: Information not publicly available, please log in. Min: 1679.0 ( meter )
Dataset Owner(s):
Individual: Mareike Ließ
Contact:
Additional Infos:
Please refer to "Ließ et al. (2016), Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLoS ONE, 11(4): e0153673. doi:10.1371/journal.pone.0153673" for further datails.
Keywords:
| ECSF | boosted regression trees | soil organic carbon | digital soil mapping |
Associated entities to this dataset:
-------- 1 . other entity --------
Entity name: SOC stocks spatial density function values
Entity Description: The columns of this data matrix refer to the UTM coordinates, the prediction median (SOC_BRTMED), interquartile range (SOC_BRTIQR), 25% (SOC_BRTQ25) and 75% (SOC_BRTQ75) quantiles of the position specific density functions of the prediction.
Tech. Details ...
Attribute(s) ...
Metadata Provider:
Individual: Mareike Ließ
Contact:
Contact Person:
Individual: Mareike Ließ
Contact:
Online Distribution:
Download File: http://www.lcrs.de/data_pre.do?citid=1477
Data Publisher:
Organization: DFG-FOR816 Data Warehouse - University of Marburg, Department of Geography
Contact:


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