The past editors are pleased to present last year's best paper award for Volume 13 of the Journal of Map & Geography Libraries to Ms. Tamar Ganor for her article “An Integrated Spatial Search Engine for Maps and Aerial Photographs on a Google Maps API Platform.” The article was published in the second issue. This article presents a unique approach to collection discovery through a spatial search engine that accommodates the unique spatial metadata components found in maps and aerial photographs. Ganor outlines the problems associated with attempting a single search of both maps and aerial photos based on these variations, and then describes the concepts and technologies to support this alternate approach. This article is a clearly written overview with a timeline of processes. It also provides specific details about the HuFind platform and its outcomes. It is supported with helpful illustrations and meaningful background research and references. Ganor states, “[t]his article presents the Hebrew University of Jerusalem's (HUJI) map and aerial photograph collections and the spatial search engine that was developed in order to provide users with a tool to conduct preliminary independent research, enable access to material that is stored in closed stacks, and introduce complementary cartographic collections side-by-side. The rationale for displaying both material types together is discussed and the process of devising such a search engine is portrayed. This article also presents other spatial search engines that address these issues in different ways, as well as future prospects for the HUJI platform.” The additional unique aspect of this research, beyond that it successfully integrates spatial search outcomes between and across two cartographic formats, is that it encompasses the country of Israel. The Best Paper Award Committee believes that Ganor’s concept, technical approach, and presentation of research will offer valuable new insights and will enable and inspire others with geospatial data platforms to learn from the processes that she has described. In addition, Ganor’s work serves as a positive example of collaboration between different

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第13卷的年度最佳论文奖

过去的编辑很高兴向Tamar Ganor女士颁发“去年的《地图与地理图书馆杂志》第13卷最佳论文奖”，她的文章是“ Google Maps API平台上的地图和航拍图综合空间搜索引擎”。该文章发表在第二期。本文提出了一种通过空间搜索引擎进行馆藏发现的独特方法，该搜索引擎可以容纳在地图和航拍照片中发现的独特空间元数据组件。Ganor概述了基于这些变化尝试一次搜索地图和航拍照片的相关问题，然后描述了支持这种替代方法的概念和技术。本文是一个清晰书面的概述，并附有流程时间表。它还提供了有关HuFind平台及其结果的特定详细信息。它辅以有用的插图以及有意义的背景研究和参考资料。Ganor指出：“他的文章介绍了耶路撒冷希伯来大学（HUJI）的地图和航拍照片集，以及为向用户提供进行初步独立研究的工具而开发的空间搜索引擎，储存在封闭的堆栈中，并排引入互补的制图馆藏。讨论了将两种材料类型一起显示的原理，并描述了设计这种搜索引擎的过程。本文还介绍了其他以不同方式解决这些问题的空间搜索引擎，以及HUJI平台的未来前景。”这项研究的另一个独特之处在于，它成功地整合了两种制图格式之间以及跨两种制图格式的空间搜索结果，它涵盖了以色列国。最佳论文奖委员会认为，Ganor的概念，技术方法和研究成果将提供宝贵的新见解，并将使并启发具有地理空间数据平台的其他人从她描述的过程中学习。此外，Ganor的工作是不同组织之间合作的积极典范。研究的介绍将提供宝贵的新见解，并将通过地理空间数据平台使其他人从她所描述的过程中学习，并激发他们的灵感。此外，Ganor的工作是不同组织之间合作的积极典范。研究的介绍将提供宝贵的新见解，并将通过地理空间数据平台使其他人从她所描述的过程中学习，并激发他们的灵感。此外，Ganor的工作是不同组织之间合作的积极典范。