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A new assessment approach for urban ecosystem health basing on maximum information entropy method

Research article (Stochastic Environmental Research and Risk Assessment, 2015) · cited 24× · AI/ML
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A new assessment approach for urban ecosystem health basing on maximum information entropy method

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A new assessment approach for urban ecosystem health basing on maximum information entropy method is a scholarly article[1].

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  • A new assessment approach for urban ecosystem health basing on maximum information entropy method'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). A new assessment approach for urban ecosystem health basing on maximum information entropy method. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-assessment-approach-for-urban-ecosystem-health-basing-on-maximum-information-entropy-method
MLA “A new assessment approach for urban ecosystem health basing on maximum information entropy method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-assessment-approach-for-urban-ecosystem-health-basing-on-maximum-information-entropy-method.
BibTeX @misc{4ortxyz_a-new-assessment-approach-for-urban-ecosystem-health-basing-on-maximum-information-entropy-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A new assessment approach for urban ecosystem health basing on maximum information entropy method}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-assessment-approach-for-urban-ecosystem-health-basing-on-maximum-information-entropy-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A new assessment approach for urban ecosystem health basing on maximum information entropy method — https://4ort.xyz/entity/a-new-assessment-approach-for-urban-ecosystem-health-basing-on-maximum-information-entropy-method (retrieved 2026-05-24)

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