I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Thematic Geo-Density Heatmapping for Walking Tourism Analyt..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Sasaki, Iori
;
Arikawa, Masatoshi
;
Lu, Min
. - p. 4944-4951 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020743
RT T1
2022 IEEE International Conference on Big Data (Big Data)
: T1
Thematic Geo-Density Heatmapping for Walking Tourism Analytics using Semi-Ready GPS Trajectories
UL https://suche.suub.uni-bremen.de/peid=ieee-10020743&Exemplar=1&LAN=DE A1 Sasaki, Iori A1 Arikawa, Masatoshi A1 Lu, Min A1 Sato, Ryo YR 2022 K1 Legged locomotion K1 Urban areas K1 User-generated content K1 Data visualization K1 Big Data K1 Sensor phenomena and characterization K1 Spatial databases K1 Semi-ready GPS trajectory K1 Walking tourism K1 Heatmaps K1 Mobile sensors SP 4944 OP 4951 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020743 DO https://doi.org/10.1109/BigData55660.2022.10020743 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)