The emerging spatial–temporal big data supported by GIS has broad applications in social governance. Through a unified time–space reference, multi-source big data from different departments can be linked and organized, forming a block data. A cloud platform based on the block data is developed ...
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past ...
This paper presents a spatial-temporal aware analytical framework to solve the truth finding problem in social sensing applications. Social sensing has emerged as a new big data application paradigm of collecting observations about the physical environment from social sensors (e.g., humans) or devices...
Temporal and Spatial Monitoring of the pH and Heavy Metals in a Soil Polluted by Mine Spill. Post Cleaning Effects 来自 EBSCO 喜欢 0 阅读量: 36 作者: RO Fernandez,Juan Vicente Giraldez Cervera,K Vanderlinden,RC Bojollo,PG Fernandez 摘要: The bursting of the mining dam of Aznalcollar (...
by Xu et al.24employed a cube structure and B-tree structures to answer queries of the spatial–temporal textual big data in road networks. These combinations imply that the hybrid model of index structure with spatial index and textual index is suitable for retrieving spatial textual data. ...
STCF: Spatial-Temporal Contrasting for Fine-Grained Urban Flow inference. IEEE Transactions on Big Data, 2023. - Xovee/stcf
Many statistics tools and data mining methods have been developed to reveal embedded patterns in large data sets. While patterns are critical to data analysis, deep insights will remain buried unless we develop means to associate spatiotemporal patterns to the dynamics of spatial processes that ...
Spatial Data Integration Geospatial data integration;Spatiotemporal Data Integration Definitions Spatial data integrationis a process in which different geospatial datasets, which may or may not have different spatial coverages, are made compatible with one another (Flowerdew1991). The goal of spatial ...
Grinberger AY, Shoval N (2019) Spatiotemporal contingencies in tourists’ intradiurnal mobility patterns. J Travel Res 58(3):512–530 Hasnat MM, Hasan S (2018) Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data. Transp Res Part C Em...
(i) Temporal-Wise Encoder The two-tower architecture, featuring a temporal self-attention decoder, is employed in this study for its exceptional ability to learn long-term dependencies in time-series data. This design proves particularly advantageous in extracting implicit features across a broad spec...