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ALGR: A multi-purpose agricultural landscape generator in R
Eyal Goldstein1, Antonia Deutscher1,2, Eamon O'Keeffe1
1University of Göttingen, Ecosystem Modelling, Göttingen, Germany.
Plos One
|October 30, 2025
Summary
Agricultural landscape generators (ALG) create dynamic maps for ecological models. ALGR is a new, adaptable tool that integrates with R, offering realistic spatial patterns for diverse applications.
Area of Science:
- Ecological modeling
- Agricultural landscape simulation
- Spatial analysis
Background:
- Spatially explicit ecological models require dynamic landscape maps for accurate simulations.
- Existing agricultural landscape generators (ALG) are often limited by being static, non-general, or overly simplified.
- There is a need for flexible, adaptable tools to generate realistic agricultural landscapes for modeling.
Purpose of the Study:
- To introduce ALGR, a novel, general-purpose, dynamic agricultural landscape generator.
- To provide a tool that balances structural realism with adaptability for diverse applications.
- To enable seamless integration within the R programming and r-spatial package environments.
Main Methods:
- ALGR employs a three-step approach: outlining potential space, field placement, and landscape enrichment.
- The generator is designed for adaptability to diverse regions and applications.
- Integration with the R programming environment and r-spatial packages is a key feature.
Main Results:
- ALGR generates agricultural landscapes with realistic spatial patterns.
- The tool demonstrates flexibility through examples including land use share simulation and parameter tuning.
- It facilitates the recreation of real-world landscape patterns and spatial distribution of crop portfolios.
Conclusions:
- ALGR is the first ALG specifically designed for easy integration within the R environment.
- Its general-purpose nature and adaptability make it a valuable tool for ecological and agricultural modelers.
- ALGR simplifies the integration of dynamic landscape generation into modeling workflows.
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