Implementation of a Computational Facility for Quantitative Geomorphologic Acquisition, Processing, Analysis and Display of Large Digital Data Sets

9509954 Pazzaglia NSF 资金将补充新墨西哥大学的配套资金，以在地球与行星科学系内建立和实施基于 UNIX 的计算设施。 具体来说，将购买一台Sun SPARCstation 20工作站，配备64MB内存、10GB大容量存储、一台带图形加速卡的大型彩色显示器、一张CD-ROM和软件，包括Sun Solaris操作系统、FORTRAN-90和C编译器、ARC/INFO和S-PLUS。由 DEC-PATHWORKS 提供服务的现有系级网络将使所有教职员工、研究人员和学生能够访问新设施，并可以选择让他们的 PC 或 Macintosh 通过 SPARCstation 20 工作站运行 X 应用程序。 该设施的设计主要是为了满足第四纪研究小组在获取、处理、分析和显示大型数字数据集方面的研究需求，但也将侧重于增强该系基于 UNIX 的资源和应用程序。 第四纪研究小组将在该设施进行的研究将包括处理高分辨率（30 和 90 m）USGS 数字高程数据，以执行 (1) 区域定量形态分析，(2) 研究隆起、起伏、平均高程和侵蚀之间的基本关系，(3) 对地形进行计算密集型傅里叶分析，以提取景观发展中的构造成分，(4) 为地表地质图的准备和编制提供框架，以及 (5) 使用地形数据和地表地质数据与基于 GIS 的应用相结合进行景观演化分析。 ***

9509954 Pazzaglia NSF funding will supplement matching funds from the University of New Mexico to build and implement a UNIX-based computational facility within the Department of Earth and Planetary Sciences. Specifically, a Sun SPARCstation 20 workstation with 64 MB of memory, 10 GB of mass storage, a large-format color monitor with a graphics accelerator card, a CD-ROM and software including, Sun Solaris operating system, FORTRAN-90 and C compilers, ARC/INFO and S-PLUS will be acquired. An extant department-wide network serviced by DEC-PATHWORKS will enable all faculty, research staff, and students to access the new facility with the option to have their PC or Macintosh run X-applications through the SPARCstation 20 workstation. The facility will be designed primarily to meet the research needs of the Quaternary Studies Group in acquiring, processing, analyzing, and displaying large digital data sets, but will also have an interdisciplinary focus in enhancing UNIX-based resources and applications for the Department. Research to be performed by Quaternary Studies Group at this facility will include manipulation of high-resolution (30 and 90 m) USGS digital elevation data to perform (1) regional quantitative morphometric analysis, (2) investigate the fundamental relationship between uplift, relief, mean elevation, and erosion, (3) perform computationally-intensive Fourier analyses on topography to extract the tectonic component in landscape development, (4) provide a framework for the preparation and compilation of surficial geologic maps, and (5) use topographic data and surficial geologic data in concert with GIS-based applications in landscape evolution analyses. ***