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Designing field data collection methods for developing a university enterprise GIS database: An assessment of the California State University, Fullerton tree inventory.

机译:设计用于开发大学企业GIS数据库的现场数据收集方法:加利福尼亚州立大学对富勒顿树的评估。

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摘要

Enterprise geographic information systems have become increasingly popular on university campuses in the last decade because of their ability to facilitate the acquisition, storage, and dissemination of spatial data. These systems, however, require considerable investment of financial, technological, and personnel resources to establish. One of the most significant obstacles to establishing an enterprise GIS on a university campus is the extensive amount of time and effort required for collecting spatial data to develop the enterprise GIS database. There are dozens of feature sets that can be included in a university's enterprise GIS, many of which contain hundreds or thousands of features for which data must be collected through a fieldwork based inventory.;This thesis assesses the tree inventory field data collection methodology developed by California State University, Fullerton to acquire data for the campus's enterprise GIS. Each aspect of the data collection methodology will be thoroughly documented to explain how it was developed and describe the advantages and disadvantages of the individual methods that were tested and utilized. The extent to which each aspect of the tree inventory data collection methodology can be drawn on for reference in designing future methods of data acquisition will then be comprehensively assessed. Based on this assessment, a structured framework for developing future field data collection methodologies will be constructed that should help universities increase the efficiency with which they can acquire spatial data and develop an enterprise GIS.
机译:在过去的十年中,企业地理信息系统由于能够促进空间数据的获取,存储和分发而变得越来越流行。但是,这些系统需要大量的财务,技术和人力资源投资才能建立。在大学校园中建立企业GIS的最大障碍之一是收集空间数据以开发企业GIS数据库所需的大量时间和精力。大学的企业GIS中可以包含数十种功能集,其中许多功能包含成百上千的功能,必须通过基于实地调查的清单来收集其数据。加利福尼亚州立大学富勒顿分校将获取校园企业GIS的数据。数据收集方法的每个方面都将得到详尽记录,以解释其开发方式并描述经过测试和利用的各个方法的优缺点。然后将全面评估树木清单数据收集方法的各个方面在设计未来数据采集方法时可参考的程度。基于此评估,将构建一个结构化的框架,用于开发未来的现场数据收集方法,这将有助于大学提高其获取空间数据和开发企业GIS的效率。

著录项

  • 作者单位

    California State University, Fullerton.;

  • 授予单位 California State University, Fullerton.;
  • 学科 Geodesy.;Education Higher.
  • 学位 M.A.
  • 年度 2013
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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