Hi everyone!
I’m excited to share my new NetLogo project: LogoClim.
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 is openly available on the CoMSES Network and GitHub.
How It Works
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).
See the Logônia model for an example of how to integrate LogoClim into your model.
Learn more at: GitHub - sustentarea/logoclim: ⛅ WorldClim in NetLogo
GitHub Stars are always appreciated! 
Cheers,
Daniel Vartanian