Spatiotemporal characteristics of elderly population's traffic accidents in Seoul using space-time cube and space-time kernel density estimation.

Autor: Youngok Kang, Nahye Cho, Serin Son

Publikováno v: PLoS ONE, Vol 13, Iss 5, p e0196845 (2018)

The purpose of this study is to analyze how the spatiotemporal characteristics of traffic accidents involving the elderly population in Seoul are changing by time period. We applied kernel density estimation and hotspot analyses to analyze the spatia

Externí odkaz: https://doaj.org/article/1ecc9cdb87c5434b94baf95c529d55c9

Classification of Tourist Photo for Intelligent Tourism Service

Autor: Nahye Cho, Soyeon Park, Youngok Kang, Jiyoung Yoon

Publikováno v: Journal of the Korean Cartographic Association. 19:87-101

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::470e460f5fbf4b3e94647451194faf9a
https://doi.org/10.16879/jkca.2019.19.3.087

Transfer Learning of a Deep Learning Model for Exploring Tourists’ Urban Image Using Geotagged Photos

Autor: Jiyoung Yoon, Ji Yeon Kim, Youngok Kang, Soyeon Park, Nahye Cho

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 137, p 137 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 3

Recently, as computer vision and image processing technologies have rapidly advanced in the artificial intelligence (AI) field, deep learning technologies have been applied in the field of urban and regional study through transfer learning. In the to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29535f1fca0247225f2b82297ab93b28
https://www.mdpi.com/2220-9964/10/3/137

Space-time density of field trip trajectory: exploring spatio-temporal patterns in movement data

Autor: Nahye Cho, Youngok Kang

Publikováno v: Spatial Information Research. 25:141-150

A numerous log data in addition to user input data are being generated as mobile and web users continue to increase recently, and the studies in order to explore the patterns and meanings of various movement activities by making use of these log data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f40ebe08e6d33a3c29841e77533fc586
https://doi.org/10.1007/s41324-016-0079-x

An Analysis of Movement by Visualizing Spatio-Temporal Characteristics of Logdata

Autor: Youngok Kang, Nahye Cho

In this study, we visualized and analyzed log data in order to analyze the spatiotemporal characteristics of “moving” and “staying activities”. As a case study, we collected and preprocessed GPS log data generated by students participating in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28f20b59e241337d25776075af4eead0
https://www.proc-int-cartogr-assoc.net/2/18/2019/