Using GPS Logging Data to Estimate Spatial Distribution of Visitors: A Case Study of Yehliu Geopark
Date Issued
2012
Date
2012
Author(s)
Hu, Ying-Hao
Abstract
We developed a procedure that uses GPS data logger to collect visitor tracks in Yehliu geopark, and interpolate the data by using kernel density estimation method to evaluate visitors’ spatial distribution of different time. This procedure can assist authorities in managing the park. The special landscapes of Yehliu attract more and more visitors each year. Some places in the park have become overly crowded, exceeding the capacity that the environment holds. This may affect the visiting quality and visitors’ safety.
For sustainable development of the park, we should pay closer attention to space usage in Yehliu. In other words, we have to monitor the spatial distribution of visitors. Not only to diminish the destruction of the environmental, but also to promote the quality of visit. Visitors do many different activities in the park. Their motions can be recorded as visitor tracks, which contain information of visitor spatial distribution and have the potential to be used for space management in the park.
We use GPS data logger to collect location data of visitors every second, then analyses the data by using kernel density estimation. It can create kernel density surface demonstrating the distribution of visitors to show the density of the space. It can also estimate stationary duration of visitors near those popular scenic spots by buffer zone analysis. By adding the temporal factors, we can simulate visitor’s density in different period of time. This will help us in discussing the variation of the crowded location and the amount of the visitors. With this information and method, we will be able to manage spatial issues of the park more efficiently and reasonably.
Subjects
GPS data logger
kernel density estimation (KDE)
spatial distribution
visitor’s density
Yehliu Geopark
Type
thesis
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