A survey of visual analytics techniques for machine learning
Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …
in the field of visualization. To better identify which research topics are promising and to …
Deep time-series clustering: A review
We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
[图书][B] Thematic cartography and geovisualization
TA Slocum, RB McMaster, FC Kessler, HH Howard - 2022 - taylorfrancis.com
This comprehensive and well-established cartography textbook covers the theory and the
practical applications of map design and the appropriate use of map elements. It explains …
practical applications of map design and the appropriate use of map elements. It explains …
Sensors for sustainable smart cities: A review
MA Ramírez-Moreno, S Keshtkar, DA Padilla-Reyes… - Applied Sciences, 2021 - mdpi.com
Experts confirm that 85% of the world's population is expected to live in cities by 2050.
Therefore, cities should be prepared to satisfy the needs of their citizens and provide the …
Therefore, cities should be prepared to satisfy the needs of their citizens and provide the …
Visual analytics of mobility and transportation: State of the art and further research directions
Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …
utilize the current abundance of multisource and multiform data related to the functionality …
Visual human–computer interactions for intelligent vehicles and intelligent transportation systems: The state of the art and future directions
Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …
between automatic approaches and man-machine control systems, it is indispensable to …
Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data
Origin-destination (OD) movement data describe moves or trips between spatial locations by
specifying the origins, destinations, start, and end times, but not the routes travelled. For …
specifying the origins, destinations, start, and end times, but not the routes travelled. For …
Adapted k-nearest neighbors for detecting anomalies on spatio–temporal traffic flow
Outlier detection is an extensive research area, which has been intensively studied in
several domains such as biological sciences, medical diagnosis, surveillance, and traffic …
several domains such as biological sciences, medical diagnosis, surveillance, and traffic …
City2vec: Urban knowledge discovery based on population mobile network
Due to the needs of social and economic development, population movements between
cities often occur on a large scale. Spontaneous population movements between cities …
cities often occur on a large scale. Spontaneous population movements between cities …
A survey of urban visual analytics: Advances and future directions
Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …
problems and integration of visualization techniques and computational models. Urban …