论文标题
gan'sda包裹：环绕周围的地理和网络结构化数据
GAN'SDA Wrap: Geographic And Network Structured Data on surfaces that Wrap around
论文作者
论文摘要
有许多方法可以将球形图投射到平面上。这些预测的交互式版本允许用户以关注区域为中心。但是，这种相互作用的影响先前尚未评估。在与120名参与者的研究中，我们发现相互作用在此类预测中提供了更准确的区域，方向和距离估计。 3D球体和圆环拓扑的表面为不间断的网络布局提供了连续的表面。但是，如何最好地将球形网络布局投影到2D屏幕，尚未研究，也没有将这样的球形网络预测与圆环预测进行比较。使用我们的第一项研究中最成功的交互式球体预测，我们比较了网络的球形，标准和环形布局，用于群集和路径，遵循96名参与者的任务，从而，在群集理解任务的准确性方面为球形和环形布局均优于标准网络布局。
There are many methods for projecting spherical maps onto the plane. Interactive versions of these projections allow the user to centre the region of interest. However, the effects of such interaction have not previously been evaluated. In a study with 120 participants we find interaction provides significantly more accurate area, direction and distance estimation in such projections. The surface of 3D sphere and torus topologies provides a continuous surface for uninterrupted network layout. But how best to project spherical network layouts to 2D screens has not been studied, nor have such spherical network projections been compared to torus projections. Using the most successful interactive sphere projections from our first study, we compare spherical, standard and toroidal layouts of networks for cluster and path following tasks with 96 participants, finding benefits for both spherical and toroidal layouts over standard network layouts in terms of accuracy for cluster understanding tasks.
