Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Andreas Züfle"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Having accurate building information is paramount for a plethora of applications, including humanitarian efforts, city planning, scientific studies, and navigation systems. While volunteered geographic information from sources such as OpenSt
Externí odkaz:
https://doaj.org/article/29c43ee3e66140f5a0a2bb83c58ba4c1
Publikováno v:
PLoS ONE, Vol 16, Iss 11 (2021)
With the onset of COVID-19 and the resulting shelter in place guidelines combined with remote working practices, human mobility in 2020 has been dramatically impacted. Existing studies typically examine whether mobility in specific localities increas
Externí odkaz:
https://doaj.org/article/fc8fdd7e7af148479fd5234a1fe7cf60
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 12, p 814 (2021)
The range query is one of the most important query types in spatial data processing. Geographic information systems use it to find spatial objects within a user-specified range, and it supports data mining tasks, such as density-based clustering. In
Externí odkaz:
https://doaj.org/article/365852336a0742c7be8d4624a865f209
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 6, p 385 (2020)
The research presented in this paper proposes a thematic network approach to explore rich relationships between places. We connect places in networks through their thematic similarities by applying topic modeling to the textual volunteered geographic
Externí odkaz:
https://doaj.org/article/51dfac192e4f41b4b6dbf7df7f4b7fca
Autor:
Aisha Sikder, Andreas Züfle
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 5, p 288 (2020)
Singular value decomposition (SVD) is ubiquitously used in recommendation systems to estimate and predict values based on latent features obtained through matrix factorization. But, oblivious of location information, SVD has limitations in predicting
Externí odkaz:
https://doaj.org/article/fce9bc3c6d254c10b40d6fad08feeced
Publikováno v:
Urban Science, Vol 2, Iss 3, p 65 (2018)
The problem of traffic prediction is paramount in a plethora of applications, ranging from individual trip planning to urban planning. Existing work mainly focuses on traffic prediction on road networks. Yet, public transportation contributes a signi
Externí odkaz:
https://doaj.org/article/5c1816574fee466abd92f04a1795929a
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems. 8:1-5
Infectious diseases are transmitted between human hosts when in close contact over space and time. Recently, an unprecedented amount of spatial and spatiotemporal data have been made available that can be used to improve our understanding of the spre
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems.
Recommending a Point of Interest (PoI) or a sequence of PoIs to visit, based on user’s preferences and geo-locations, has been one of the most popular applications of Location-Based Services (LBS). Variants have also been considered which take othe
Autor:
Hamdi Kavak, Andrew Crooks, Hyunjee Jin, Dieter Pfoser, Umar Manzoor, Andreas Züfle, Carola Wenk, Joon-Seok Kim
Publikováno v:
Computational and Mathematical Organization Theory
We introduce the Urban Life agent-based simulation used by the Ground Truth program to capture the innate needs of a human-like population and explore how such needs shape social constructs such as friendship and wealth. Urban Life is a spatially exp
Autor:
Ketevan Gallagher, Srihan Kotnana, Sachin Satishkumar, Kheya Siripurapu, Justin Elarde, Taylor Anderson, Andreas Züfle, Hamdi Kavak
Publikováno v:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility.