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Trend-Based Prediction of Spatial Change

Ge, Xiaoyu; Lee, Jae Hee; Renz, Jochen; Zhang, Peng


The capability to predict changes of spatial regions is important for an intelligent system that interacts with the physical world. For example, in a disaster management scenario, predicting potentially endangered areas and inferring safe zones is essential for planning evacuations and countermeasures. Existing approaches usually predict such spatial changes by simulating the physical world based on specific models. Thus, these simulation-based methods will not be able to provide reliable...[Show more]

CollectionsANU Research Publications
Date published: 2016
Type: Conference paper
Source: Heuristics for Numeric Planning via Subgoaling
Access Rights: Open Access


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