用生成式AI让普通人也能轻松制图，打破专业门槛。
A roadmap for generative mapping: unlocking the power of generative AI for map-making
- 结合生成式AI与地图制作流程，降低制图技术门槛。
- 提出生成式制图系统（GMS）的实现路径与关键技术需求。
- 适合非专业人士、教育者及快速制图场景使用。
地图在多个领域具有广泛价值，是呈现空间现象和传递空间知识的重要工具。然而，由于涉及地理信息系统（GIS）和制图学的专业软件与复杂工作流（从数据处理到可视化），地图制作仍局限于专业人士。尽管生成式AI近期在内容生成方面展现出强大能力，并对公众高度开放，其在地图生成方面的潜力尚未充分释放。本文探讨了生成式AI在地图制作中的关键应用，总结了相关技术进展，识别了实现所需的具体技术与当前方法的挑战，并提出了构建生成式制图系统（GMS）的路线图，旨在使地图制作更易获取与普及。
原文摘要 · Abstract (English)
Maps are broadly relevant across various fields, serving as valuable tools for presenting spatial phenomena and communicating spatial knowledge. However, map-making is still largely confined to those with expertise in GIS and cartography due to the specialized software and complex workflow involved, from data processing to visualization. While generative AI has recently demonstrated its remarkable capability in creating various types of content and its wide accessibility to the general public, its potential in generating maps is yet to be fully realized. This paper highlights the key applications of generative AI in map-making, summarizes recent advancements in generative AI, identifies the specific technologies required and the challenges of using current methods, and provides a roadmap for developing a generative mapping system (GMS) to make map-making more accessible.
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