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A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China
Research article (International Journal of Geographical Information Systems, 2018) · cited 27× · AI/ML
A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China
Summary
A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China is a scholarly article[1].
Key Facts
A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-spatiotemporal-regression-kriging-model-for-space-time-interpolation-a-case-study-of-chlorophyll-a-prediction-in-the-c
MLA“A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-spatiotemporal-regression-kriging-model-for-space-time-interpolation-a-case-study-of-chlorophyll-a-prediction-in-the-c.
BibTeX@misc{4ortxyz_a-spatiotemporal-regression-kriging-model-for-space-time-interpolation-a-case-study-of-chlorophyll-a-prediction-in-the-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China}}, year = {2026}, url = {https://4ort.xyz/entity/a-spatiotemporal-regression-kriging-model-for-space-time-interpolation-a-case-study-of-chlorophyll-a-prediction-in-the-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China — https://4ort.xyz/entity/a-spatiotemporal-regression-kriging-model-for-space-time-interpolation-a-case-study-of-chlorophyll-a-prediction-in-the-c (retrieved 2026-05-24)
