Smart Geospatial Analytics for Maladaptation Hotspot Detection: Integrating Trajectory Classification, Random Forest, and SHAP.
- DOI
- 10.3390/s26154853
- Published
- 2026 Aug 1
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26154853,
title = {Smart Geospatial Analytics for Maladaptation Hotspot Detection: Integrating Trajectory Classification, Random Forest, and SHAP.},
author = {Buasri N and Littidej P and Pumhirunroj B and Banluewong K and Slack D},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26154853},
url = {https://doi.org/10.3390/s26154853}
}RIS
TY - JOUR TI - Smart Geospatial Analytics for Maladaptation Hotspot Detection: Integrating Trajectory Classification, Random Forest, and SHAP. AU - Buasri N AU - Littidej P AU - Pumhirunroj B AU - Banluewong K AU - Slack D PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26154853 UR - https://doi.org/10.3390/s26154853 ER -
APA
N, B., P, L., B, P., K, B., & D, S. (2026). Smart Geospatial Analytics for Maladaptation Hotspot Detection: Integrating Trajectory Classification, Random Forest, and SHAP.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26154853
Source records
- pubmed · retrieved 2026-09-25T18:51:05.958Z