Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31942
Title: Visit Probability in Space–Time Prisms Based on Binomial Random Walk
Authors: ELIAS, Deepak 
KUIJPERS, Bart 
Advisors: Kuijpers, Bart
Issue Date: 2020
Publisher: 
Source: ISPRS international journal of geo-information, 2020 (9) (Art N° 555)
Abstract: Space–time prisms are used to model the uncertainty of space–time locations of moving objects between (for instance, GPS-measured) sample points. However, not all space–time points in a prism are equally likely and we propose a simple, formal model for the so-called “visit probability” of space–time points within prisms. The proposed mathematical framework is based on a binomial random walk within one- and two-dimensional space–time prisms. Without making any assumptions on the random walks (we do not impose any distribution nor introduce any bias towards the second anchor point), we arrive at the conclusion that binomial random walk-based visit probability in space–time prisms corresponds to a hypergeometric distribution.
Keywords: geographic information science;time geography;space–time prisms;random walk;uncertainty;probability;visit probability;binomial distribution;hypergeometric distribution
Document URI: http://hdl.handle.net/1942/31942
e-ISSN: 2220-9964
DOI: 10.3390/ijgi9090555
ISI #: WOS:000579997300001
Rights: 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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