Editorial: Special Issue on the Best Papers from the 2021 ACM SIGSPATIAL Conference

IF 1.2 Q4 REMOTE SENSING ACM Transactions on Spatial Algorithms and Systems Pub Date : 2023-11-30 DOI:10.1145/3632619
W. Aref
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编辑:2021 年 ACM SIGSPATIAL 会议最佳论文特刊
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来源期刊
CiteScore
4.40
自引率
5.30%
发文量
43
期刊介绍: ACM Transactions on Spatial Algorithms and Systems (TSAS) is a scholarly journal that publishes the highest quality papers on all aspects of spatial algorithms and systems and closely related disciplines. It has a multi-disciplinary perspective in that it spans a large number of areas where spatial data is manipulated or visualized (regardless of how it is specified - i.e., geometrically or textually) such as geography, geographic information systems (GIS), geospatial and spatiotemporal databases, spatial and metric indexing, location-based services, web-based spatial applications, geographic information retrieval (GIR), spatial reasoning and mining, security and privacy, as well as the related visual computing areas of computer graphics, computer vision, geometric modeling, and visualization where the spatial, geospatial, and spatiotemporal data is central.
期刊最新文献
Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction (Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning Mobility Data Science: Perspectives and Challenges Graph Sampling for Map Comparison Latent Representation Learning for Geospatial Entities
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