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Datasets collected by subproject: C9 Towards a Guideline for Digital Soil Mapping in Ecuador..
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Soil organic carbon stocks in the ECSF area (spatial prediction)
Dataset ID: 1477
Last updated: 2016-05-31
Dataset creators: Mareike Ließ
Contact: Mareike Ließ
Temporal coverage: 2011-03-01 00:00:00 - 2015-12-31 00:00:00
Geographic coverage: ECSF DEM 10m
Abstract: ---
Additional info: Please refer to "Ließ et al. (2016), Improving the...
Keywords: | ECSF | boosted regression trees | soil organic carbon | digital soil mapping |
Intellectual 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
1. Entity:
Entity name: SOC stocks spatial density function values
Entity info: 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.
Entity type:otherEntity

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Radar Network Ecuador - Peru