Computational Model Library

LogoClim: WorldClim in NetLogo (2.1.0)

LogoClim is a NetLogo model for simulating and visualizing global climate conditions. It allows researchers to integrate high-resolution climate data into agent-based models, supporting reproducible research in ecology, agriculture, environmental sciences, and other fields that rely on climate data.

The model utilizes raster data to represent climate variables such as temperature and precipitation over time. It incorporates historical data (1951-2024) and future climate projections (2021-2100) derived from global climate models under various Shared Socioeconomic Pathways (SSPs, O’Neill et al., 2017). All climate inputs come from WorldClim 2.1, a widely used source of high-resolution, interpolated climate datasets based on weather station observations worldwide (Fick & Hijmans, 2017).

LogoClim follows the FAIR Principles for Research Software (Barker et al., 2022) and is openly available on the CoMSES Network and GitHub. See the Logônia model for an example of its integration into a full NetLogo simulation.

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Release Notes

  • Added a #headless? parameter to the setup procedure for improved headless execution.
  • Removed the #tick and #wait parameters from the go procedure; it now has no parameters, simplifying execution.
  • Updated the go-back procedure to reset ticks and clear all plots.
  • Converted NaN values produced by the GIS extension (used to represent missing data) into false, following Seth Tisue’s suggestion. This fixes problems with primitives such as export-world and import-world (see GIS Known Issues).
  • Converted string parameters and interface text to title case.
  • Improved the show-value procedure to provide better contrast for patch labels.
  • Added a 12-month moving average for patches. Patches now have two additional attributes: value-12 (last 12 months of values) and value-12ma (12-month moving average).
  • Updated plot behaviors: added a 12-month moving average pen, added indicators for the start of each 12-month cycle, and y-axis now dynamically adjusts based on the minimum, maximum, and interquartile range of the 12-month data window.
  • Removed the halt procedure; error messages now provide more descriptive text.
  • Added the Logônia model as a reference for LogoClim integration.
  • Updated Quarto notebooks.
  • Updated documentation to reflect all changes.

Associated Publications

A manuscript describing the model has been submitted to the Journal of Open Source Software (JOSS) and is currently under review.

LogoClim: WorldClim in NetLogo 2.1.0

Submitted by Daniel Vartanian Published Sep 16, 2025 Last modified Sep 29, 2025
Time Series NetLogo LevelSpace Simulations WorldClim Climate Change Agent-Based Modeling Climate Data Visualization Climate Projections Climate Simulations Environmental Sciences Future Climate Scenarios Geospatial Analysis Historical Climate Data Logônia Parallel Execution Raster Data Reproducible Research Shared Socioeconomic Pathways Spatial Analysis

LogoClim is a NetLogo model for simulating and visualizing global climate conditions. It allows researchers to integrate high-resolution climate data into agent-based models, supporting reproducible research in ecology, agriculture, environmental sciences, and other fields that rely on climate data.

The model utilizes raster data to represent climate variables such as temperature and precipitation over time. It incorporates historical data (1951-2024) and future climate projections (2021-2100) derived from global climate models under various Shared Socioeconomic Pathways (SSPs, O’Neill et al., 2017). All climate inputs come from WorldClim 2.1, a widely used source of high-resolution, interpolated climate datasets based on weather station observations worldwide (Fick & Hijmans, 2017).

LogoClim follows the FAIR Principles for Research Software (Barker et al., 2022) and is openly available on the CoMSES Network and GitHub. See the Logônia model for an example of its integration into a full NetLogo simulation.

Release Notes

  • Added a #headless? parameter to the setup procedure for improved headless execution.
  • Removed the #tick and #wait parameters from the go procedure; it now has no parameters, simplifying execution.
  • Updated the go-back procedure to reset ticks and clear all plots.
  • Converted NaN values produced by the GIS extension (used to represent missing data) into false, following Seth Tisue’s suggestion. This fixes problems with primitives such as export-world and import-world (see GIS Known Issues).
  • Converted string parameters and interface text to title case.
  • Improved the show-value procedure to provide better contrast for patch labels.
  • Added a 12-month moving average for patches. Patches now have two additional attributes: value-12 (last 12 months of values) and value-12ma (12-month moving average).
  • Updated plot behaviors: added a 12-month moving average pen, added indicators for the start of each 12-month cycle, and y-axis now dynamically adjusts based on the minimum, maximum, and interquartile range of the 12-month data window.
  • Removed the halt procedure; error messages now provide more descriptive text.
  • Added the Logônia model as a reference for LogoClim integration.
  • Updated Quarto notebooks.
  • Updated documentation to reflect all changes.

Cite this Model

Daniel Vartanian, Leandro Garcia, Aline (2025, September 16). “LogoClim: WorldClim in NetLogo” (Version 2.1.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/bccd451f-76a4-408a-85fd-c5024359ba9a/releases/2.1.0/

Replication of a previously described model

No.

Associated Publication(s)

A manuscript describing the model has been submitted to the Journal of Open Source Software (JOSS) and is currently under review.

References

Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development, 9(5), 1937-1958. https://doi.org/10.5194/gmd-9-1937-2016

Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315. https://doi.org/10.1002/joc.5086

Harris, I., Osborn, T. J., Jones, P., & Lister, D. (2020). Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Scientific Data, 7(1), 109. https://doi.org/10.1038/s41597-020-0453-3

O’Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K., Rothman, D. S., van Ruijven, B. J., van Vuuren, D. P., Birkmann, J., Kok, K., Levy, M., & Solecki, W. (2017). The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change, 42, 169-180. https://doi.org/10.1016/j.gloenvcha.2015.01.004

Vartanian, D., Garcia, L., & Carvalho, A. M. (2025). {Logônia}: Plant growth response model in NetLogo [Computer software]. https://doi.org/10.17605/OSF.IO/TPY7S

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Contributors
Daniel Vartanian Leandro Garcia Aline Martins de Carvalho Aline
External Repository
github.com/sustentarea/logoclim
DOI
No assigned DOI
Model Version
2.1.0
License
GPL-3.0
Programming Language
NetLogo
Software Framework
NetLogo 7.0.0
Operating System
Operating System Independent
Publish Date
Tuesday, September 16, 2025
Last Updated
Monday, September 29, 2025
Downloads 22
Peer Review
Unreviewed
Version Submitter First published Last modified Status
2.1.0 Daniel Vartanian Tue Sep 16 05:25:45 2025 Mon Sep 29 20:33:55 2025 Published
2.0.0 Daniel Vartanian Mon Aug 4 22:58:14 2025 Mon Sep 29 20:33:30 2025 Published
1.0.0 Daniel Vartanian Thu Jul 3 10:02:19 2025 Mon Sep 29 20:33:29 2025 Published
0.0.0 Daniel Vartanian Thu Jul 3 02:30:24 2025 Mon Sep 29 20:33:29 2025 Published

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