Models proposed so-far for the representation of spatiotemporal data are extensions of traditional raster and vector representations that can be seen as location- or feature-based, respectively, and are therefore best organized for performing either location-based or feature-based queries. Neither form...
A variety of spatio- temporal data types are also defined. One example is MAPPING(A), where A is one of the above spatial data types. If ik represents a time interval and fk represents a function from the time instants in ik to A then a value of type MAPPING(A) is a set of the...
Spatiotemporal exploratory data analysis is a methodological approach to detect and describe patterns, trends, and relations in data in both space and time by data query, quantification, and visualization (Andrienko and Andrienko, 2006). Example tools for spatial panel data are available in open ...
标题:Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook 链接:arxiv.org/abs/2310.1019 摘要 时间序列和时空数据在现实应用中普遍存在。它们捕捉动态系统测量,并由物理和虚拟传感器产生大量数据。分析这些数据类型对于利用它们所包含的丰富信息至关重要,从而为广泛的下游任务带来好处。大型语...
2024 KDD( ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 知识发现和数据挖掘会议)在2024年8月25日-29日在西班牙巴塞罗那举行。 本文总结了KDD2024有关时空数据(Spatial-temporal)的相关论文,如有疏漏,欢迎大家补充。 时空数据Topic:时空(交通)预测, 生成,拥堵预测,定价预测,气象预测,轨迹生成,预测...
example of inter-neighbor messaging using the moment\({t}_{2}\)of one of the sensors\(i\). Long-term spatiotemporal dependencies must be considered, as there are effects between different sensors at different points in time. For example, the\({t}_{2}\)moment of sensor\(i\)will be ...
Motivating example: Fig. 1 shows a motivating example for the proposed MARIO framework. Each POI (point-of-interest) or functional region depicts travel demand pattern in different temporal scales. Various mobility events effect other neighboring regions in a temporal sequence and subsequently it helps...
Spatio-temporal Analytics and Big Data Mining MSc 时空分析与大数据挖掘 主要是学习 GIS 科学、数据库、空间分析、数据挖掘和分析的基础知识,提供分析,建模大型复杂时空数据,大数据分析所需的计算基础和技能,包括使用统计和机器学习方法的可视化、预测、聚类和模拟,以及检索和挖掘大(开放)数据、网络服务和云计算、网络...
原文链接:Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling:https://dl.acm.org/doi/10.1145/3447548.3467371 摘要 Vast amount of data generated from networks of sensors, wearables, and the Internet of Things (IoT) devices underscores the need for advanced modeling techniques ...
2.Therearenopure-temporaldata.Timeseriesreflecteither spatiallyaggregatedvalues(globaltemperaturecurves) asinglespatiallocation(airqualitysensorDEUB032,at 8.191934E,50.93033N) vaguelylocated,oruniversalaggregates(worldmarketprices, stockquotes) 8/30