Geospatial big data handling theory and methods: A review and research challenges
Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …
attention of academia, industry, government and other organizations. Big data can be …
Rethinking big data: A review on the data quality and usage issues
The recent explosive publications of big data studies have well documented the rise of big
data and its ongoing prevalence. Different types of “big data” have emerged and have …
data and its ongoing prevalence. Different types of “big data” have emerged and have …
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach
Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …
challenges of urban studies. In addition, exploring the relationship between urban functional …
Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of **'an, Shaanxi, China
J Li, J Li, Y Yuan, G Li - Cities, 2019 - Elsevier
The complexity of cities and their internal structure make it more and more important to study
the distribution of urban population density, and big data provide some new technical means …
the distribution of urban population density, and big data provide some new technical means …
Information from imagery: ISPRS scientific vision and research agenda
With the increased availability of very high-resolution satellite imagery, terrain based
imaging and participatory sensing, inexpensive platforms, and advanced information and …
imaging and participatory sensing, inexpensive platforms, and advanced information and …
A survey on next location prediction techniques, applications, and challenges
AG Chekol, MS Fufa - EURASIP Journal on Wireless Communications and …, 2022 - Springer
Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …
importance in different application areas. Recent growth of location-based service …
[LIBRO][B] Informed Urban transport systems: Classic and emerging mobility methods toward smart cities
J Chow - 2018 - books.google.com
Informed Urban Transport Systems examines how information gathered from new
technologies can be used for optimal planning and operation in urban settings …
technologies can be used for optimal planning and operation in urban settings …
[PDF][PDF] The effect of recency to human mobility
In recent years, we have seen scientists attempt to model and explain human dynamics and
in particular human movement. Many aspects of our complex life are affected by human …
in particular human movement. Many aspects of our complex life are affected by human …
Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations
W Yu, G Wang - International Journal of Geographical Information …, 2023 - Taylor & Francis
As an important task in spatial data mining, trajectory transportation mode recognition can
reflect various individual behaviors and traveling patterns in urban space. As trajectory is …
reflect various individual behaviors and traveling patterns in urban space. As trajectory is …
Going where, by whom, and at what time: Next location prediction considering user preference and temporal regularity
Next location prediction is a crucial task in human mobility modeling, and is pivotal for many
downstream applications like location-based recommendation and transportation planning …
downstream applications like location-based recommendation and transportation planning …