ABSTRACT

Historical maps are popular reference tools for historical, archaeological and temporal analysis, and there has recently been an increase in their use. However, for various reasons, the planimetric accuracy of maps produced before the nineteenth century is usually considered to be lower than today. In this paper, a new method for assessing maps is proposed, using a series of processes, such as radial-based function artificial neural network, magnetic declination, and also MapAnalyst software. The map used in the current study (of Europe and the Mediterranean Sea) is a small-scale map; therefore, control points were produced by taking reference from large-scale maps drawn by the same cartographer, Piri Reis (c.1465–1553). While developing this method, affine transformation (six parameters) was compared in terms of planimetric accuracy. The results indicate that Piri Reis's Mediterranean map offers us unique information in many areas.

摘要

历史地图是历史、考古和时间分析的流行参考工具，最近它们的使用有所增加。然而，由于种种原因，19 世纪之前制作的地图的平面测量精度通常被认为低于今天。在本文中，提出了一种评估地图的新方法，该方法使用了一系列过程，例如基于径向的函数人工神经网络、磁偏角以及 MapAnalyst 软件。当前研究中使用的地图（欧洲和地中海）是小比例尺地图；因此，控制点是参考同一制图师 Piri Reis（c.1465–1553 年）绘制的大比例地图生成的。在开发此方法时，仿射变换（六个参数）在平面精度方面进行了比较。