[HTML][HTML] Revisiting spatial optimization in the era of geospatial big data and GeoAI

K Cao, C Zhou, R Church, X Li, W Li - International Journal of Applied Earth …, 2024 - Elsevier
Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …

[PDF][PDF] 大数据时代的空间交互分析方法和应用再论

刘瑜, 姚欣, 龚咏喜, 康朝贵, 施迅, 王法辉… - Acta Geographica …, 2020 - researching.cn
空间交互是理解地表人文过程的重要基础, 与空间依赖一起共同体现了地理空间的独特性,
关联性以及对嵌入该空间的地理分布格局的影响, 具有鲜明的时空属性, 因此对于地理学研究 …

An intelligent modeling framework to optimize the spatial layout of ocean moored buoy observing networks

S Liu, M Song, S Chen, X Fu, S Zheng, W Hu… - Frontiers in Marine …, 2023 - frontiersin.org
This research is motivated by the practical requirements in the sustainable deployment of
ocean moored buoy observing networks. Ocean moored buoys play an important role in the …

Aggregation, disaggregation and decomposition methods in traffic assignment: historical perspectives and new trends

MPH Raadsen, MCJ Bliemer, MGH Bell - Transportation research part B …, 2020 - Elsevier
In this study we provide a comprehensive review of the existing literature on (dis)
aggregation and decomposition methods in traffic assignment and classify them based on …

A stepwise spatio-temporal flow clustering method for discovering mobility trends

X Yao, D Zhu, Y Gao, L Wu, P Zhang, Y Liu - Ieee Access, 2018 - ieeexplore.ieee.org
Massive flows that represent the individual level of movements and communications can be
easily obtained in the age of big data. Generalizing spatial and temporal flow patterns from …

Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation

B Liu, Z Tang, M Deng, Y Shi, X He, B Huang - Journal of Transport …, 2024 - Elsevier
Understanding the travel flux between urban blocks is fundamental for traffic demand
prediction, urban area planning and urban traffic management. However, the uncertainty of …

A multi-objective districting problem applied to agricultural machinery maintenance service network

J Han, Y Hu, M Mao, S Wan - European Journal of Operational Research, 2020 - Elsevier
The prompt and reliable response to malfunctioning agricultural machinery of a
maintenance service network is extremely critical for the safety and stability of agricultural …

A framework to detect and understand thematic places of a city using geospatial data

S Hu, Y Xu, L Wu, X Wu, R Wang, Z Zhang, R Lu… - Cities, 2021 - Elsevier
The best way of sensing places has long been an interest in GIScience and urban studies.
Previous studies detect and understand places via traditional human participant-oriented …

A multivariate hierarchical regionalization method to discovering spatiotemporal patterns

H Wang, H Zhang, H Zhu, F Zhao, S Jiang… - GIScience & Remote …, 2023 - Taylor & Francis
In GIScience, the regionalization method is widely used for geographical data mining,
spatiotemporal pattern discovery, and regional studies. An ideal regionalization method …

PRUC: P-regions with user-defined constraint

Y Liu, AR Mahmood, A Magdy, S Rey - Proceedings of the VLDB …, 2021 - dl.acm.org
This paper introduces a generalized spatial regionalization problem, namely, PRUC (P-
Regions with User-defined Constraint) that partitions spatial areas into homogeneous …