Model Factsheets
| Name | Landscape Ecological Assessment Tool |
| Acronym | LEcA Tool |
| Methodical Focus | None |
| Institution(s) | KTH-LWR; KTH-SEED |
| Author(s) (institution, working field, active time period) | Ulla Mörtberg, Xi Pang, Renats Trubins |
| Current contact person | Ulla Mörtberg |
| Contact (e-mail) | mortberg@kth.se |
| Website | https://www.reeem.org/eca-tool/ |
| Logo | |
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| Primary Purpose | Integrated Impact Assessment including ecosystem services |
| Primary Outputs | Joint assessment of five ecosystem service indices: bioenergy potential, industrial wood production, carbon storge, recreation value, and habitat value |
| Support / Community / Forum | |
| Framework | |
| Link to User Documentation | {} |
| Link to Developer/Code Documentation | - |
| Documentation quality | expandable |
| Source of funding | - |
| Number of developers | less than 10 |
| Number of users | - |
| Open Source | |
| Planned to open up in the future | |
| Costs | - |
| Modelling software | Python, Matlab, R |
| Internal data processing software | Matlab, R |
| External optimizer | |
| Additional software | ArcGIS, QGIS |
| GUI |
| Modeled energy sectors (final energy) |
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| Modeled demand sectors |
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| Modeled technologies: components for power generation or conversion |
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| Modeled technologies: components for transfer, infrastructure or grid |
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| Properties electrical grid |
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| Modeled technologies: components for storage |
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| User behaviour and demand side management | |||||||
| Changes in efficiency | |||||||
| Market models | - | ||||||
| Geographical coverage | |||||||
| Geographic (spatial) resolution |
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| Time resolution | 10 years | ||||||
| Comment on geographic (spatial) resolution | Spatial resolution from 25 m - 1 km or user defined | ||||||
| Observation period | >1 year, user-defined | ||||||
| Additional dimensions (sector) |
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| Model class (optimisation) | - |
| Model class (simulation) | - |
| Other | |
| Short description of mathematical model class | |
| Mathematical objective | - |
| Approach to uncertainty | - |
| Suited for many scenarios / monte-carlo | |
| typical computation time | less than a second |
| Typical computation hardware | RAM |
| Technical data anchored in the model | - |
| Interfaces | |
| Model file format | .txt, .py, .r |
| Input data file format | .m |
| Output data file format | .m |
| Integration with other models | |
| Integration of other models | OSeMOSYS is used as a modelling tool in the model and is one of the part. Model has ability to run OSeMOSYS n times with different scenarios |