ABSTRACT

Modern technology has given thousands of amateur cartographers not only the opportunity but also the means to make a valuable contribution to mapping at all scales. However, web maps made by amateurs are prone to legibility shortcomings, such as coalescence, complexity, and congestion. These problems can be solved by map generalization; however, for amateurs participating in web mapping, the crucial decision is when to activate generalization. Such a decision is difficult, as the original and target map scales are sometimes uncertain owing to heterogeneous data quality and different output devices. In this study, starting from the identification of different pixels in a rasterized line, we developed a new scale-specific measure to evaluate the degree of legibility (DoL) of individual lines. Our experimental results showed that this measure could reflect the legibility of a line at a given map scale effectively, and could facilitate accurate decisions on whether generalization is necessary. In addition, we fitted a multi-scale legibility function (MSLF) for each line based on DoLs at multiple scales. This function can be used to estimate the legible scale for each line accurately. Our measures are easy to understand, tolerant of data quality, and have great potential for multi-scale spatial data processing.

摘要

现代技术不仅为成千上万的业余制图师提供了机会，而且为在各种规模的制图上做出宝贵贡献提供了手段。但是，业余爱好者制作的网络地图容易出现易读性缺陷，例如合并，复杂性和拥塞。这些问题可以通过地图综合解决。但是，对于参加Web映射的业余爱好者来说，关键的决定是何时激活通用化。这样的决定很困难，因为原始数据和目标地图的比例有时由于数据质量的差异和输出设备的不同而不确定。在这项研究中，从识别光栅化线中的不同像素开始，我们开发了一种新的特定于比例的度量，以评估各个线的易读性（DoL）。我们的实验结果表明，该度量可以有效地反映给定地图比例尺上一条线的易读性，并且可以帮助您准确判断是否有必要进行泛化。此外，我们基于多尺度的DoL为每条线装配了多尺度易读性功能（MSLF）。此功能可用于准确估算每条线的清晰范围。我们的措施易于理解，可以容忍数据质量，并且在多尺度空间数据处理方面具有巨大潜力。此功能可用于准确估算每条线的清晰范围。我们的措施易于理解，可以容忍数据质量，并且在多尺度空间数据处理方面具有巨大潜力。此功能可用于准确估算每条线的清晰范围。我们的措施易于理解，可以容忍数据质量，并且在多尺度空间数据处理方面具有巨大潜力。