本调查提供了针对时间序列和时空数据定制的大型模型的全面和最新综述,涵盖了数据类型、模型类别、模型范围和应用领域/任务等方面。 标题:Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook 链接:arxiv.org/abs/2310.1019 广告 深度学习(异步图书出品) 京东 ¥84.00 去购买 广告 ...
Spatial-Temporal Data Analysis and Data Mining 时空数据分析与数据挖掘 伴随着人们探索空间的过程,各种信息的获取范围也从局部地面、全球地表、地球各个圈层扩展到地球内外的整个空间,从原有二维平面空间基准逐步演变到三维空间基准,进而演变到反映地理空间对象时空分布的四维空间基准。时空数据的概念就应运而生。时空数据...
1)spatio-temporal data时空数据 1.Current Status and Prospect of Spatio-Temporal Data Mining in the Mobile World;面向移动环境的时空数据挖掘研究现状与展望 2.A static visualization representation method for spatio-temporal data;一种时空数据静态可视化表达方法 3.Dynamic Visualization of Spatio-temporal Data...
The spatiotemporal big data store enables archival of high volume observation data, sustains high velocity write throughput, and can run across multiple machines.
时空大数据定义:越来越多的数据使世界进入真正的大数据(Big Data)时代,其中大量的与时空位置有关的数据称为时空大数据。比如Uber网约车实时车辆位置,外卖配送等等。 时空大数据由于其所在空间的空间实体和空间现象在时间、空间和属性三个方面的固有特征,呈现出多维、语义、时空动态关联的复杂性,因此,需要研究时空大数据多...
patterns that are not explicit in the data. Spatial data analysis distinguishes itself from classical data analysis in that spatial analysis focuses on locations, areas, distances, relationships and interactions of measurements that are usually
· 27 HYPERLINK \l _bookmark34 4.2 Geodatabase 基本元素 27 HYPERLINK \l _bookmark35 4.3 基于 Geodatabase 的城镇地籍管理时空数据模型 28 4.3.1 HYPERLINK \l _bookmark36 城镇地籍管理时空数据模型概念设计··· 28 HYPERLINK \l _bookmark37 4.3.2 城镇地籍管理时空数据模型逻辑设计··· 30 HYPER...
Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments The land surface temperature (LST) is a key parameter for energy balance, evapotranspiration and climate change. In this study, two new methods of LST retr... P Ma,EL Kang - John Wiley ...
Deep learning has recently gained attention in atmospheric and oceanic sciences for its potential to improve the accuracy of numerical simulations and reduce computational costs. Super-resolution is one such technique, which obtains high-resolution inference from low-resolution data. This paper proposes ...
The collective anomaly denotes a collection of nearby locations that are anomalous during a few consecutive time intervals in terms of phenomena collectively witnessed by multiple datasets. The collective anomalies suggest there are underlying problems that may not be id...