地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (4): 720-730.doi: 10.12082/dqxxkx.2020.200002

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数字地形分析方法研究的维度——精准、高效、易用

秦承志1,2,3,*()   

  1. 1. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
    2. 中国科学院大学资源与环境学院,北京 100049
    3. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
  • 收稿日期:2019-12-31 修回日期:2020-01-21 出版日期:2020-04-25 发布日期:2020-06-10
  • 作者简介:秦承志(1977— ),男,山东蒙阴人,研究员,主要研究方向为数字地形分析、地理建模智能化、流域模拟与情景分析。
  • 基金资助:
    国家自然科学基金项目(41422109);国家自然科学基金项目(41431177)

Dimensions of Methodologic Researches on Digital Terrain Analysis: Accurate, Efficient, and Easy-to-use

QIN Chengzhi1,2,3,*()   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2019-12-31 Revised:2020-01-21 Online:2020-04-25 Published:2020-06-10
  • Contact: QIN Chengzhi
  • Supported by:
    National Natural Science Foundation of China(41422109);National Natural Science Foundation of China(41431177)

摘要:

数字地形分析基于数字高程模型计算各种地形信息,在诸多地理现象和地理过程的定量刻画和模拟中都发挥着不可或缺的重要作用。作为地理信息空间分析的一个基本组成内容、GIS的必备功能之一,数字地形分析的方法研究不断深化、扩展。本文从一个新的视角,即方法研究的维度,对该领域已有工作及发展趋势进行梳理,将数字地形分析方法研究工作归纳为依次显现出的3个研究维度:① 精准,即如何设计新的数字地形分析方法以更准确、精确地计算出符合地理学认知、满足应用领域问题求解所需的地形信息;② 高效,即如何使数字地形分析的计算更高效;③ 易用,即如何使数字地形分析对于应用者(尤其是相关应用领域中非数字地形分析专家的用户)更易用。特别是近年新显现出的“易用”研究维度,通过研究设计数字地形分析领域应用建模知识的形式化表达及相应的推理应用方法,有望实现数字地形分析应用工作流的智能化构建,满足实际应用中对数字地形分析的易用性需求;同时,其研究思路和方法也可为地理信息空间分析中诸多其他分支领域解决所面临的类似问题提供借鉴。

关键词: 数字地形分析, 地形信息, 并行计算, 智能化建模, 应用场景知识

Abstract:

Digital Terrain Analysis (DTA), which can derives all kinds of topographic information widely used in diverse terrain-related geographic modeling and simulation, has been one of basic components of geo-spatial analysis, as well as one of fundamental functionalities of GIS. Researches on DTA methods have been continuously conducted in both width and depth. This paper tries to summarize the DTA researches from a new perspective, i.e., the dimensions of methodologic research on DTA. Three dimensions which successively emerged in methodologic researches on DTA are discussed, i.e., accurate, efficient, and easy-to-use. The dimension of "accurate" is of those researches on how to make DTA results more accurate. The dimension of "efficient" is of those researches on how to make DTA execution more efficient, or faster. And the new-emerging dimension of "easy-to-use" is on how to make DTA more easy-to-use in real applications as well as for users (especially those non-experts of DTA). The key study issue to be settled in the dimension of "easy-to-use" is how to formalize the knowledge on building DTA workflow properly and use it to conduct DTA during diverse real applications in an intelligent way. The proposed summarization on the dimensions of methodologic researches on DTA, as well as the corresponding methodologic researches, should be transferable for other domains in geo-spatial analysis, which often face the study issues similar to those in DTA domain.

Key words: digital terrain analysis, topographic information, parallel computation, intelligent modeling, application-context knowledge