Results 1 to 10 of about 2,631,204 (260)
Voxel modeling and association of ubiquitous spatiotemporal information in natural language texts
International Journal of Digital Earth, 2023 The ubiquitous spatiotemporal information extracted from Internet texts limits its application in spatiotemporal association and analysis due to its unstructured nature and uncertainty. This study uses ST-Voxel modeling to solve the problem of structured
Chenguang Dai, Chunping Qiu, Yi Lei
exaly +3 more sources
Spatiotemporal model based on transformer for bias correction and temporal downscaling of forecasts
Frontiers in Environmental Science, 2022 Numerical weather prediction (NWP) provides the future state of the atmosphere and is a major tool for weather forecasting. However, NWP has inevitable errors and requires bias correction to obtain more accurate forecasts.
Li Xiang +4 more
doaj +1 more source
Atmosphere, 2023 Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants.
Mahmood Taghavi +6 more
doaj +1 more source
Frontiers in Built Environment, 2020 Effective lifting task scheduling for tower cranes is beneficial for the smooth operation of a construction project. Previous studies have often ignored workspace availability for lifting task scheduling. Consequently, the pre- and post-lifting processes
Keyi Wu, Keyi Wu, Borja García de Soto
doaj +1 more source
Reengineering Fuzzy Spatiotemporal UML Data Model Into Fuzzy Spatiotemporal XML Model
IEEE Access, 2017 Spatiotemporal information and application have received considerable attention. Spatiotemporal information is often imprecise or uncertain; therefore, the establishment of a reasonable and effective fuzzy spatiotemporal data model is vital.
Xu Chen, Li Yan, Weijun Li, Zongmin Ma
doaj +1 more source
Multidimensional Arrays for Analysing Geoscientific Data
ISPRS International Journal of Geo-Information, 2018 Geographic data is growing in size and variety, which calls for big data management tools and analysis methods. To efficiently integrate information from high dimensional data, this paper explicitly proposes array-based modeling. A large portion of Earth
Meng Lu, Marius Appel, Edzer Pebesma
doaj +1 more source
Spatial Prediction of COVID-19 Pandemic Dynamics in the United States
ISPRS International Journal of Geo-Information, 2022 The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others.
Çiğdem Ak +4 more
doaj +1 more source
Attention Embedded Spatio-Temporal Network for Video Salient Object Detection
IEEE Access, 2019 The main challenge in video salient object detection is how to model object motion and dramatic changes in appearance contrast. In this work, we propose an attention embedded spatio-temporal network (ASTN) to adaptively exploit diverse factors that ...
Lili Huang +4 more
doaj +1 more source
Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany
Energies, 2023 Temporally and spatially resolved data on wind power generation are very useful for studying the technical and economic aspects of this variable renewable energy at local and regional levels. Due to the lack of disaggregated electricity data from onshore
Reinhold Lehneis, Daniela Thrän
doaj +1 more source
Atmosphere, 2021 Nowcasting is an important technique for weather forecasting because sudden weather changes significantly affect human life. The encoding-forecasting model, which is a state-of-the-art architecture in the field of data-driven radar extrapolation, does ...
Chang Hoo Jeong +4 more
doaj +1 more source