Accuracy Assessment of Kriging, artificial neural network, and a hybrid approach integrating spatial and terrain data in estimating and mapping of soil organic carbon.

Kılıç M, Gündoğan R, Günal H, Cemek B

DOI: 10.1371/journal.pone.0268658
Published: 2022
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0268658,
  title = {Accuracy Assessment of Kriging, artificial neural network, and a hybrid approach integrating spatial and terrain data in estimating and mapping of soil organic carbon.},
  author = {Kılıç M and Gündoğan R and Günal H and Cemek B},
  year = {2022},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0268658},
  url = {https://doi.org/10.1371/journal.pone.0268658}
}

RIS

TY  - JOUR
TI  - Accuracy Assessment of Kriging, artificial neural network, and a hybrid approach integrating spatial and terrain data in estimating and mapping of soil organic carbon.
AU  - Kılıç M
AU  - Gündoğan R
AU  - Günal H
AU  - Cemek B
PY  - 2022
JO  - PloS one
DO  - 10.1371/journal.pone.0268658
UR  - https://doi.org/10.1371/journal.pone.0268658
ER  -

APA

M, K., R, G., H, G., & B, C. (2022). Accuracy Assessment of Kriging, artificial neural network, and a hybrid approach integrating spatial and terrain data in estimating and mapping of soil organic carbon.. PloS one. https://doi.org/10.1371/journal.pone.0268658

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pubmed · retrieved 2026-09-25T19:49:45.636Z