[HTML][HTML] Revisiting spatial optimization in the era of geospatial big data and GeoAI
Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …
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 …
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 …
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
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 …
aggregation and decomposition methods in traffic assignment and classify them based on …
A stepwise spatio-temporal flow clustering method for discovering mobility trends
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 …
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 …
prediction, urban area planning and urban traffic management. However, the uncertainty of …
A multi-objective districting problem applied to agricultural machinery maintenance service network
The prompt and reliable response to malfunctioning agricultural machinery of a
maintenance service network is extremely critical for the safety and stability of agricultural …
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
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 …
Previous studies detect and understand places via traditional human participant-oriented …
A multivariate hierarchical regionalization method to discovering spatiotemporal patterns
In GIScience, the regionalization method is widely used for geographical data mining,
spatiotemporal pattern discovery, and regional studies. An ideal regionalization method …
spatiotemporal pattern discovery, and regional studies. An ideal regionalization method …
PRUC: P-regions with user-defined constraint
This paper introduces a generalized spatial regionalization problem, namely, PRUC (P-
Regions with User-defined Constraint) that partitions spatial areas into homogeneous …
Regions with User-defined Constraint) that partitions spatial areas into homogeneous …