Department of Applied Science, William & Mary, Williamsburg, VA, United States of America.
PLoS One. 2021 Nov 18;16(11):e0260039. doi: 10.1371/journal.pone.0260039. eCollection 2021.
A great deal of information is contained within archival maps-ranging from historic political boundaries, to mineral resources, to the locations of cultural landmarks. There are many ongoing efforts to preserve and digitize historic maps so that the information contained within them can be stored and analyzed efficiently. A major barrier to such map digitizing efforts is that the geographic location of each map is typically unknown and must be determined through an often slow and manual process known as georeferencing. To mitigate the time costs associated with the georeferencing process, this paper introduces a fully automated method based on map toponym (place name) labels. It is the first study to demonstrate these methods across a wide range of both simulated and real-world maps. We find that toponym-based georeferencing is sufficiently accurate to be used for data extraction purposes in nearly half of all cases. We make our implementation available to the wider research community through fully open-source replication code, as well as an online georeferencing tool, and highlight areas of improvement for future research. It is hoped that the practical implications of this research will allow for larger and more efficient processing and digitizing of map information for researchers, institutions, and the general public.
档案地图中包含了大量的信息——从历史政治边界到矿产资源,再到文化地标位置。目前,人们正在努力保护和数字化历史地图,以便能够高效地存储和分析其中所包含的信息。这些地图数字化工作的一个主要障碍是,每张地图的地理位置通常是未知的,必须通过通常较慢且手动的地理配准过程来确定。为了减少地理配准过程中的时间成本,本文提出了一种完全基于地图地名标签的自动化方法。这是首次在广泛的模拟和真实世界地图中展示这些方法的研究。我们发现,地名地理配准的准确性足以在近一半的情况下用于数据提取目的。我们通过完全开源的复制代码以及在线地理配准工具向更广泛的研究社区提供了我们的实现,并强调了未来研究的改进领域。希望这项研究的实际意义将使研究人员、机构和公众能够更大规模、更高效地处理和数字化地图信息。