地理学报 ›› 2002, Vol. 57 ›› Issue (7s): 52-59.doi: 10.11821/xb20027s008

• 理论与方法 • 上一篇    下一篇

地理空间数据的适宜尺度分析

李军,庄大方   

  1. 中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2002-04-08 修回日期:2002-08-15 出版日期:2002-12-25 发布日期:2010-09-06
  • 作者简介:李军 (1968-), 男, 副研究员, 主要研究领域为地理数据基础及地理数据应用研究。E-mail: lij@lreis.ac.cn
  • 基金资助:

    中科院地理科学与资源研究所知识创新项目(K2CX2-308)

Study on the Appropriate Scale of Geo-spatial Data

LI Jun, ZHUANG Dafang   

  1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2002-04-08 Revised:2002-08-15 Online:2002-12-25 Published:2010-09-06
  • Supported by:

    Foundation Item: Knowledge Innovation Project of Institute of Geographic Sciences and Natural Resources Research, CAS, No. K2CX2-308

摘要:

在地理空间数据应用中,数据尺度的选取多采用经验模型方法。研究发现,数据的适宜尺度与研究区范围、研究对象的特征、数据使用者对结果精度的要求等因素有关。以山东省不同空间精度的土地利用数据为例,作者分析了不同精度下各种类型地块的面积与土地详调面积的偏差、不同精度数据下地块的空间集聚度等现象,发现对于山东省土地利用研究中,1:10万精度的数据是比较适宜的。

关键词: 地理空间数据;适宜尺度;土地利用数据尺度;山东省

Abstract:

As discussed by many researchers, geo-spatial data have scale characteristics on spatial, temporal and attribute field, and geo-spatial data at different scales were chosen for various applications to meet different needs in each application case. So the concept of appropriate scale of geo-spatial data was raised, that is to say, there should be one or more appropriate scales of data for special data application. Unfortunately, no precise formula of appropriate scale chosen for applications has been set up by geographical researchers up to now, and the appropriate scale was chosen by users based on their experiences. Based on those cases, the paper lists the judgment index for appropriate scale selection, and gives one formula of appropriate scale for the application of land management of Shandong Province, eastern China. In the study area, different scales of 1:100,000, 1:250,000, and 1:1,000,000 landuse datasets were chosen for the appropriate scale analysis. The total area of each kind of landuse type for all the three scale datasets is calculated and compared with total area number by field investigation, and the landuse patterns are also created by calculating distance between each land parcel geometrical center. The author finds out that 1:100,000 scale landuse dataset is more appropriate for landuse analysis and management for a region like Shandong Province with a total area of less then 160,000 km2.

Key words: spatial data, appropriate scale, scale of land use data, Shandong Province