Abstract
Based on probabilistic time-geography, the encounter between two moving objects is random. The quantitative analysis of the probability of encounter needs to consider the actual geographical environment. The existing encounter probability algorithm is based on homogeneous space, ignoring the wide range of obstacles and their impact on encounter events. Based on this, this paper introduces obstacle factors, proposes encounter events that are constrained by obstacles, and constructs a model of the probability of encounters of moving objects based on the influence of obstacles on visual perception with the line-of-sight view analysis principle. In realistic obstacle space, this method provides a quantitative basis for predicting the encountering possibility of two mobile objects and the largest possible encounter location. Finally, the validity of the model is verified by experimental results. The model uses part of the Wuhan digital elevation model (DEM) data to calculate the encounter probability of two moving objects on it, and analyzes the temporal and spatial distribution characteristics of these probabilities.
Highlights
Spatio-temporal analysis is generally applied to the visualization or prediction of spatio-temporal patterns of human or environmental phenomena
The encounter in obstacle spaces is an extension of the probability time geography based on line-of-sight analysis
The method of probability time geography and the theory of line of sight analysis are used to measure whether two ISPRS Int
Summary
Spatio-temporal analysis is generally applied to the visualization or prediction of spatio-temporal patterns of human or environmental phenomena. Meeting interaction is a spatio-temporal relationship (e.g., dynamic interactions between animals; rescues or meetings between people, etc.) that can be analyzed based on spatio-temporal trajectory data [3]. The spatio-temporal position between any two consecutive anchor points is uncertain, which results in the uncertainty of the encounter interaction based on spatio-temporal trajectory data. Even small groves and buildings will become obstacles for people to encounter, which affects the search operations, mainly reducing the success rate of search and rescue. The encounter in obstacle spaces is an extension of the probability time geography based on line-of-sight analysis.
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