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

9509954 Pazzaglia国家科学基金会的资金将补充新墨西哥大学的匹配资金，用于在地球和行星科学系内建立和实施基于unix的计算设施。具体而言，将获得一台具有64mb内存、10gb大容量存储器的Sun SPARCstation 20工作站、一台带有图形加速卡的大画幅彩色显示器、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提供服务的现有全系网络将使所有教师、研究人员和学生能够通过SPARCstation 20工作站访问新设施，并选择让他们的PC或Macintosh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要，但也将有一个跨学科的重点，为该部加强基于unix的资源和应用。第四纪研究小组在该设施进行的研究将包括对高分辨率（30和90米）美国地质调查局数字高程数据的操作，以进行(1)区域定量形态计量学分析，(2)调查隆升、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立叶分析，以提取景观发展中的构造成分。(4)为地表地质图的编制和编制提供框架；(5)将地形数据和地表地质数据与基于gis的景观演变分析应用相结合。＊＊＊

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. ***