Home › Entities › academia › Spatial autocorrelation reduces model precision and predictive power in deforestation analyses

Spatial autocorrelation reduces model precision and predictive power in deforestation analyses

Research article (Ecosphere, 2017) · cited 44× · AI/ML
academia openalex:W2620030349
Press Enter · cited answer in seconds

Spatial autocorrelation reduces model precision and predictive power in deforestation analyses

Summary

Spatial autocorrelation reduces model precision and predictive power in deforestation analyses is a scholarly article[1].

Key Facts

  • Spatial autocorrelation reduces model precision and predictive power in deforestation analyses's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Spatial autocorrelation reduces model precision and predictive power in deforestation analyses. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatial-autocorrelation-reduces-model-precision-and-predictive-power-in-deforestation-analyses
MLA “Spatial autocorrelation reduces model precision and predictive power in deforestation analyses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatial-autocorrelation-reduces-model-precision-and-predictive-power-in-deforestation-analyses.
BibTeX @misc{4ortxyz_spatial-autocorrelation-reduces-model-precision-and-predictive-power-in-deforestation-analyses_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial autocorrelation reduces model precision and predictive power in deforestation analyses}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-autocorrelation-reduces-model-precision-and-predictive-power-in-deforestation-analyses}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatial autocorrelation reduces model precision and predictive power in deforestation analyses — https://4ort.xyz/entity/spatial-autocorrelation-reduces-model-precision-and-predictive-power-in-deforestation-analyses (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/spatial-autocorrelation-reduces-model-precision-and-predictive-power-in-deforestation-analyses · Last refreshed: