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Tools for spatially modeling ecosystem services: Publication trends, conceptual reflections and future challenges
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“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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Metadata
- 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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