# An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-overview-and-comparison-of-machine-learning-techniques-for-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Brandon Heung,Hung Chak Ho,Jin Zhang,Anders Knudby,Chuck Bulmer,Margaret Schmidt |
| Citations | 528 |
| DOI | 10.1016/j.geoderma.2015.11.014 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2186294614 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Margaret Schmidt](https://scholariq.org/researchers/margaret-schmidt/)

## Paper primary topic

- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)

## Paper topics

- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)
- [Soil and Unsaturated Flow](https://scholariq.org/topics/soil-and-unsaturated-flow/)
- [Geochemistry and Geologic Mapping](https://scholariq.org/topics/geochemistry-and-geologic-mapping/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.