在国际世界地图(imw)系统中设置地图单张识别号的方法

M. Zygmunt, Jacek Gniadek, R. Szewczyk
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引用次数: 0

摘要

《国际世界地图》采用的系统分段法是许多国家的标准。这种划分用于大多数类型的小比例尺地图。由于应用范围广,它也经常是索引正射影像和激光扫描数据的基础。中央国家资源中积累的数据涵盖了整个国家。它们的覆盖范围不仅包括以源格式为用户的需要而获得和处理的信息。越来越多的情况是,数据被转换成便于应用的格式(例如,为数字地形模型建立网格)。对快速空间识别的需求决定了这些数据库中存储的资源是否可用。开源软件在GIS领域的动态发展是另一个日益广阔的研究领域,也是世界各国科学家的研究热点。他们不仅将其视为进行空间分析的现成工具,而且还将其视为寻找算法解决方案的工具,以满足处理越来越多这类数据的需求。本文讨论了根据给定点的经度和纬度,在选定比例尺中指定地图单张标识号(索引)的方法。所提出的解决办法的一个毫无疑问的优点是可以将地图单张划分成比例尺,这些比例尺在其基本描述中是缺失的。由此可见,对于大量的数据,这种空间索引方法是必不可少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE METHOD FOR SETTING MAP SHEET IDENTIFICATION NUMBERS IN THE INTERNATIONAL MAP OF THE WORLD (IMW) SYSTEM
The systematic division into section sheets adopted in the International World Map is the standard in many countries. This division is used for most types of small-scale maps. Due to the scope of application, it is also often the basis for indexing orthophoto images and data from laser scanning. Data accumulated in central State resources cover entire countries. Their coverage includes more than information obtained and processed for the users’ needs in the source format. Increasingly often, data is transformed into formats that facilitate their application (e.g. setting up a GRID for a digital terrain model). The need for quick spatial identification is a determinant of the availability of resources stored in these databases. The dynamic development of Open Source software in the fields of GIS is another increasingly broad area of study, and the research focus of scientists from around the world. They see it not only as a ready-made tool for conducting spatial analyses, but also in terms of searching for algorithmic solutions to meet the needs resulting from the requirement to process ever larger amounts of this type of data. The present paper discusses the method for designating a map sheet identification number (index) in a selected scale, based on the longitude and latitude of the given point. An unquestionable advantage of the presented solution is the possibility of dividing map sheets into scales, which were missing in their basic description. It follows from the fact that this spatial indexing method is indispensable for large amounts of data.
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