As the world has become increasingly digitalized in recent years, high-dimensional data with geographical location coordinate attributes, mainly referring to latitude and longitude, have been accumulated and spread to many disciplines. It is challenging to analyze such data. The map-in-parallel-coordinates plot (MPCP) is an incorporate visual analysis method that can express, filter, and highlight high-dimensional geographical data to facilitate data exploration and comprehension. In this paper, the MPCP underwent a series of field trial studies to verify its applicability, adaptability, and high efficacy in the real-world. The results of the evaluation were positive, which provides reasonable proof and new insights into the benefits of using MPCP to visually analyze high-dimensional geographical datasets.

The shadow is the main problem of spacecraft orbit design. The shadow can cause a significant loss of temperature in the spacecraft, as well as a reduction in the power supply and other effects. Based on the time and phase space system, the characteristics of shadows produced by different blocking bodies are analyzed for the shadow effect of a specific vertical Lyapunov orbit in the cislunar space. The influence of different initial phases on the shadow effect of spacecraft during three years is also studied. The research provides support for the future vertical Lyapunov orbit mission.