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Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning

Research article (Sustainable Cities and Society, 2025) · cited 10× · AI/ML
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Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning

Summary

Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning is a scholarly article[1].

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  • Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-the-nonlinear-effects-of-urban-rural-blue-green-landscape-combination-patterns-on-the-trade-off-between-carb
MLA “Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-the-nonlinear-effects-of-urban-rural-blue-green-landscape-combination-patterns-on-the-trade-off-between-carb.
BibTeX @misc{4ortxyz_quantifying-the-nonlinear-effects-of-urban-rural-blue-green-landscape-combination-patterns-on-the-trade-off-between-carb_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-the-nonlinear-effects-of-urban-rural-blue-green-landscape-combination-patterns-on-the-trade-off-between-carb}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantifying the nonlinear effects of urban-rural blue-green landscape combination patterns on the trade-off between carbon sinks and surface temperature: An approach based on self-organizing mapping and interpretable machine learning — https://4ort.xyz/entity/quantifying-the-nonlinear-effects-of-urban-rural-blue-green-landscape-combination-patterns-on-the-trade-off-between-carb (retrieved 2026-05-24)

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