Acquisition of a Departmental Research Network for the Analysis of Spatial Data

在国家科学基金会的部分支持下，俄亥俄州立大学地理系将获得一个部门研究服务器（SGI Power Challenge L）、2个图形工作站（SGI Indigo XZ）以及相关的存储、外围设备和软件，这些设备可以与现有设备集成，使系统立即对教师和学生的研究有用。地理系专门从事大数据集分析，重点关注人员和货物的流动。这些工具将协助可视化和探索性数据分析方面的研究，具体的研究项目包括对运输、移徙、贸易和信息流的研究。在此工作过程中开发的通用工具将随后应用于相关领域。其中包括研究航空客流的时间序列，模拟运输网络的主要中断以及与区域经济和结构变化有关的问题的模型。最近出现了新的大型空间流量数据集，这些数据集涉及航空乘客和城市交通流量。然而，由于缺乏最优的分析技术，它们的效用受到限制。新的数据探索和分析方法已经被提出、开发和部分测试。然而，由于缺乏计算机硬件和软件，进展受到限制。这项裁决将消除这些限制。

With partial support from the National Science Foundation, the Geography Department at Ohio State University will acquire a departmental research server (SGI Power Challenge L), 2 graphic workstations (SGI Indigo XZ) and related storage, peripherals and software which allow integration with existing equipment and make the system immediately useful for research by faculty and students. The Geography Department specializes in the analysis of large data sets and focusses on flows of people and goods. The instruments will assist in research in visualization and exploratory data analysis and specific research projects include studies of transportation, migration, trade and information flows. The common tools developed in the course of this work will then be applied to related domains. These include research in time series of air passenger flows, simulation of major interruptions in transportation networks and models of issues related to regional economics and structural change. Recently new large spatial flow data sets have become available and these involve flows of air passengers and urban traffic. However their utility is limited by the lack of optimal analytic techniques. New methods of data exploration and analysis have been proposed, developed and partially tested. However progress has been limited by the lack of computer hardware and software. This award will remove these constraints.