LogoClim: WorldClim in NetLogo 0.0.0
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 science, and other fields that rely on climate data integration.
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), available for academic and other non-commercial use.
LogoClim
follows the FAIR Principles for Research Software (FAIR4RS) (Barker et al., 2022) and is openly available on the CoMSES Network and GitHub.

Release Notes
This is LogoClim 0.0.0.9015 (a pre-release).
- Added variations (e.g., ACCESS-ESM1-5) and additional (e.g., CanESM5) Global Climate Models (GCMs) as selectable options in
global-climate-model
. WorldClim provides a dedicated webpage for this data, available here. - Fixed an issue with year intervals when using the Future climate data series.