Recognizing patterns of movements in visitor flows in nature areas
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This paper presents some approaches for geo-spatial analysis of movement behavior of visitors of recreational areas based on the use of moving object databases containing Temporary Annotated Sequences (TAS).
Abstract
This paper presents some approaches for geo-spatial analysis of movement behavior of visitors of recreational \nareas. The approaches are bases on the use of moving object databases containing Temporary Annotated Sequences \n(TAS). The TAS result from the use of GPS or mobile phones for tracking visitors. Two examples are presented for a case \nstudy carried out in the Dutch National Park Dwingelderveld. About 461 visitors were tracked using a GPS device. Based on \nthese GPS recordings their trajectories have been reconstructed. The relation between the type of landscape in terms of \nopenness and the speed of movement have been analyzed. Additionally a similarity analyses based on Fréchet analysis \nshows clusters of movements.
