概述
GEO-INFER结合了地理空间分析方法——包括栅格数据、空间统计和地理信息系统——与Active Inference原则。该项目探索在具有空间结构环境中的代理如何通过自由能框架进行建模和理解。它组织成一个模块化的生态系统,组件涵盖了数学和推理、地理时空基础设施、领域模块(如农业、健康、经济、风险和物流)、操作和安全(包括专门的安全和隐私框架)以及更高层次的应用、模拟和治理层,所有这些通过显式的模块依赖图连接在一起。
此页面由机器翻译成中文。 查看英文原版。
地理空间研究人员、数据科学家和模型师,对空间Active推理应用感兴趣。
使用「主动推断」和空间数据分析技术的地理建模。
在本页
GEO-INFER 通过基于主动推断的地理空间建模方法进行发展。该项目将空间数据分析与主动推断框架相结合,在生态学、城市规划、资源管理等需要考虑地理背景的其他领域开启了应用。
GEO-INFER结合了地理空间分析方法——包括栅格数据、空间统计和地理信息系统——与Active Inference原则。该项目探索在具有空间结构环境中的代理如何通过自由能框架进行建模和理解。它组织成一个模块化的生态系统,组件涵盖了数学和推理、地理时空基础设施、领域模块(如农业、健康、经济、风险和物流)、操作和安全(包括专门的安全和隐私框架)以及更高层次的应用、模拟和治理层,所有这些通过显式的模块依赖图连接在一起。
GEO-INFER 维护一个活跃的 GitHub 仓库,包含实现、示例和文档。该项目与研究所内更广泛的积极推断实现工作相连接。
欢迎具有地理学、生态学、环境科学、空间数据分析或主动推断建模背景的贡献者。
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