Advanced Techniques for the Representation and Use of Geographic Information

该奖项为Donna Peuquet博士提供支持， 国家科学基金会的女科学家教师奖， 工程师计划。 该计划的目标是认识到 美国最杰出最有前途的女科学家 和工程师担任学术职位，结合研究和 教学，以保留他们在学术界，并促进进一步 他们的职业发展。 该奖项将允许Peuquet博士继续她的研究， 地理信息的表达方式，包括概念上的， 物理上，作为基于计算机的数据观察。 这项研究将 建立在研究人员已经进行的研究基础上， 建立了一个概念框架， 地理信息系统（GIS）。 软件也是 开发允许基于位置和基于对象的合成 GIS中的数据表示。 调查员的下一行 调查将包括扩大代表框架， 包括时间维度，从而增强 地理信息系统，以协助分析 地理进程。 研究者还将开始定义 一种描述时空过程的正式空间语言， 仍然包含上下文依赖性和不精确的属性 这通常是这些过程的特征。 这么正式的 语言应提供更健壮和更灵活空间数据库 查询语言比使用基于标准查询语言的 方法。

This award provides support for Dr. Donna Peuquet through the National Science Foundation's Faculty Awards for Women Scientists and Engineers Program. The objectives of this program are to recognize some of the nation's most outstanding and promising women scientists and engineers holding academic positions combining research and teaching, to retain them in academia, and to facilitate the further development of their careers. This award will allow Dr. Peuquet to continue her research on the ways that geographic information is represented, both conceptually and physically, as computer-based data observations. This research will build on research already conducted by the investigator that establishes a conceptual framework for the representation of physical space in geographic information systems (GISs). Software also has been developed to permit synthesis of location-based and object-based representations of data in GISs. The investigator's next lines of inquiry will include expansion of the representational framework to include a temporal dimension, thereby enhancing the capabilities of GISs to assist in analysis of the spatial-temporal dimensions of geographic processes. The investigator also will begin to define a formal spatial language that describes spatial-temporal processes while still incorporating the context dependencies and inexact properties that often are characteristic of these processes. Such a formal language should provide a more robust and flexible spatial database query language than is available using standard query language-based approaches.