Tools for spatially modeling ecosystem services: publication trends, conceptual reflections and future challenges
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Ecosystem services assessment has leveraged ML methodologies such as ARIES.
“On the other hand, ecosystem services assessment has leveraged ML methodologies such as ARIES, as exemplified in the research by Ochoa and Urbina-Cardona [189].”
From Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2024) · cites this paper as [189]
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- Authors
- Ochoa, V., & Urbina-Cardona, N.
- Affiliations
- Pontificia Universidad Javeriana (CO)
- Corresponding author
- Ochoa, Vivian
- Venue
- Ecosystem Services
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 26
- Pages
- 155-169
- ISSN
- 2212-0416 (ISSN-L)
- OpenAlex
- W2733177031
- Cited by
- 149
- References
- 79
- Citations by year
- 2026: 11 · 2025: 21 · 2024: 16 · 2023: 19 · 2022: 20 · 2021: 17 · 2020: 17 · 2019: 18 · 2018: 9 · 2017: 1
- FWCI
- 8.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecosystem Services (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Pontificia Universidad Javeriana
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Environmental Engineering › Sustainability and Ecological Systems Analysis
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Keywords
- spatial modeling, modeling tools, SWAT, InVEST, model validation, hydrological services, water supply, climate regulation, soil formation, publication trends, model uncertainty, decision support
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