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http://hdl.handle.net/1942/31942
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DC Field | Value | Language |
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dc.contributor.advisor | Kuijpers, Bart | - |
dc.contributor.author | ELIAS, Deepak | - |
dc.contributor.author | KUIJPERS, Bart | - |
dc.date.accessioned | 2020-09-21T13:09:07Z | - |
dc.date.available | 2020-09-21T13:09:07Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-09-21T07:56:49Z | - |
dc.identifier.citation | ISPRS international journal of geo-information, 2020 (9) (Art N° 555) | - |
dc.identifier.issn | 2220-9964 | - |
dc.identifier.uri | http://hdl.handle.net/1942/31942 | - |
dc.description.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. | - |
dc.description.sponsorship | Funding: This research received no external funding. Acknowledgments: The authors would like to thank Bart Cleuren for useful discussions on the topic of the paper. | - |
dc.language.iso | en | - |
dc.publisher | - | |
dc.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/). | - |
dc.subject.other | geographic information science | - |
dc.subject.other | time geography | - |
dc.subject.other | space–time prisms | - |
dc.subject.other | random walk | - |
dc.subject.other | uncertainty | - |
dc.subject.other | probability | - |
dc.subject.other | visit probability | - |
dc.subject.other | binomial distribution | - |
dc.subject.other | hypergeometric distribution | - |
dc.title | Visit Probability in Space–Time Prisms Based on Binomial Random Walk | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 9 | - |
dc.identifier.volume | 2020 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 555 | - |
dc.identifier.doi | 10.3390/ijgi9090555 | - |
dc.identifier.isi | WOS:000579997300001 | - |
dc.identifier.eissn | - | |
local.provider.type | CrossRef | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | no | - |
item.fullcitation | ELIAS, Deepak & KUIJPERS, Bart (2020) Visit Probability in Space–Time Prisms Based on Binomial Random Walk. In: ISPRS international journal of geo-information, 2020 (9) (Art N° 555). | - |
item.contributor | ELIAS, Deepak | - |
item.contributor | KUIJPERS, Bart | - |
item.validation | ecoom 2021 | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.eissn | 2220-9964 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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ijgi-09-00555.pdf | Published version | 4.02 MB | Adobe PDF | View/Open |
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