Home ›
Entities
› academia
› A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China
A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China
Research article (Journal of Geochemical Exploration, 2018) · cited 13× · AI/ML
A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China
Summary
A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China is a scholarly article[1].
Key Facts
A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-combined-approach-using-spatially-weighted-principal-components-analysis-and-wavelet-transformation-for-geochemical-an
MLA“A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-combined-approach-using-spatially-weighted-principal-components-analysis-and-wavelet-transformation-for-geochemical-an.
BibTeX@misc{4ortxyz_a-combined-approach-using-spatially-weighted-principal-components-analysis-and-wavelet-transformation-for-geochemical-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China}}, year = {2026}, url = {https://4ort.xyz/entity/a-combined-approach-using-spatially-weighted-principal-components-analysis-and-wavelet-transformation-for-geochemical-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A combined approach using spatially-weighted principal components analysis and wavelet transformation for geochemical anomaly mapping in the Dashui ore-concentration district, Central China — https://4ort.xyz/entity/a-combined-approach-using-spatially-weighted-principal-components-analysis-and-wavelet-transformation-for-geochemical-an (retrieved 2026-05-24)