Adaptive Relative Motion Representation of Space–Time Trajectories
Antoni Moore, Judy Rodda · The Cartographic Journal · 2015
Many devices are now geared towards collecting spatiotemporal data on a massive scale. Trajectory data of objects form a large component of this resource and even the smaller trajectory datasets are a representational challenge for cartography. We present a method that regularizes mapped trajectory data into an object × time interval matrix to better compare the direction characteristics of objects. We use a simulated annealing method to optimize the order of object rows at a specific time interval so that objects that are close together in space tend to be close together in the matrix. We also graphically represent the distance between objects and the general direction the object is travelling in the matrix, which is called Adaptive Relative Motion (ARM). Finally, we demonstrate the implementation of ARM through a case study of dolphin trajectories.