ACM Transactions on Spatial Algorithms and Systems

短名ACM Trans. Spatial Algorithms Syst.
Journal Impact1.35
国际分区REMOTE SENSING(Q4)
ISSN2374-0353, 2374-0361
h-index18

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.

涉及主题计算机科学数学人工智能工程类操作系统地理统计物理数据挖掘程序设计语言地质学生物哲学机器学习量子力学经济电信计算机网络算法医学几何学计算机视觉组合数学法学政治学
出版信息出版商: Association for Computing Machinery (ACM)出版周期: 期刊类型: journal
基本数据创刊年份: 2015原创研究文献占比100.00%自引率:8.30%Gold OA占比: 5.00%

期刊引文格式

这些示例是对学术期刊文章的引用,以及它们应该如何出现在您的参考文献中。

并非所有期刊都按卷和期组织其已发表的文章,因此这些字段是可选的。有些电子期刊不提供页面范围,而是列出文章标识符。在这种情况下,使用文章标识符而不是页面范围是安全的。

只有1位作者的期刊

有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

以下是创作和编辑的书籍的参考文献的示例。

学位论文引用格式

网页引用格式

这些示例是对网页的引用,以及它们应该如何出现在您的参考文献中。

专利引用格式

最新文章

Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision

2024-7-23

Survey of Federated Learning Models for Spatial-Temporal Mobility Applications

2024-7-13

Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction

2024-7-9

The Challenge of Data Analytics with Climate-Neutral Urban Mobility (Vision Paper)

2024-6-30

Mobility Data Science: Perspectives and Challenges

2024-6-30

Predictability in Human Mobility: From Individual to Collective (Vision Paper)

2024-6-30

Introduction to the Special Issue on Vision Papers

2024-6-30

In Silico Human Mobility Data Science: Leveraging Massive Simulated Mobility Data (Vision Paper)

2024-6-30

(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning

2024-6-30

Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting

2024-6-27

Utilizing External Knowledge to Enhance Location Prediction for Twitter/X Users in Low Resource Settings

2024-6-19

Parallel Topology-aware Mesh Simplification on Terrain Trees

2024-5-21

Regionalization-based Collaborative Filtering: Harnessing Geographical Information in Recommenders

2024-5-21

Graph Sampling for Map Comparison

2024-5-3

Latent Representation Learning for Geospatial Entities

2024-5-2

Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread

2024-4-25

Backbone Index and GNN Models for Skyline Path Query Evaluation over Multi-cost Road Networks

2024-4-23

Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference

2024-4-20

A Generic Machine Learning Model for Spatial Query Optimization based on Spatial Embeddings

2024-4-13

Let’s Speak Trajectories: A Vision To Use NLP Models For Trajectory Analysis Tasks

2024-4-8

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)

2024-3-20

Scalable Spatio-temporal Top-k Interaction Queries on Dynamic Communities

2024-2-16

<i>RE-Trace</i> : Re-Identification of Modified GPS Trajectories

2024-2-5

Causal Probabilistic Spatio-temporal Fusion Transformers in Two-sided Ride-Hailing Markets

2024-2-3

Detection of Non-designated Evacuation Shelters from Real-time Population Dynamics using Autoencoder-based Anomaly Detection

2024-1-29

Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation

2024-1-22

VxH: A Systematic Determination of Efficient Hierarchical Voxel Structures

2023-12-11

Adaptive Spatio-Temporal Graph Learning for Bus Station Profiling

2023-12-7

Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-Temporal Networks

2023-12-4

Deformation Gated Recurrent Network for Lane-Level Abnormal Driving Behavior Recognition

2023-12-2

<tt>STICAP</tt> : Spatio-Temporal Interactive Attention for Citywide Crowd Activity Prediction

2023-12-1

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

2023-11-30

Adaptive Joint Spatio-Temporal Graph Learning Network for Traffic Data Forecasting

2023-11-28

Multimodal Deep Learning for Robust Road Attribute Detection

2023-11-20

Robust Routing Using Electrical Flows

2023-11-20

Stochastic Routing with Arrival Windows

2023-11-20

On Computing the Time-varying Distance between Moving Bodies

2023-11-20

Exploiting Network Structure in Multi-criteria Distributed and Competitive Stationary-resource Searching

2023-11-20

HTF: Homogeneous Tree Framework for Differentially Private Release of Large Geospatial Datasets with Self-tuning Structure Height

2023-11-20

Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation

2023-10-28

A Spatially-Aware Data-Driven Approach to Automatically Geocoding Non-Gazetteer Place Names

2023-10-16

Data Issues in High Definition Maps Furniture – A Survey

2023-10-12

Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision

2023-8-16

Geographic-Region Monitoring by Drones in Adversarial Environments

2023-8-2

PAGE: Parallel Scalable Regionalization Framework

2023-7-28

STAR: A Cache-based Stream Warehouse System for Spatial Data

2023-6-27

Distance, Origin and Category Constrained Paths

2023-6-23

Worbel: Aggregating Point Labels into Word Clouds

2023-6-9

On Practical Nearest Sub-Trajectory Queries under the Fréchet Distance

2023-5-2

AIST: An Interpretable Attention-Based Deep Learning Model for Crime Prediction

2023-4-12

帮你贴心管理全部的文献

研飞ivySCI,高效的论文管理

投稿经验分享

分享我的经验,帮你走得更远

Built withby Ivy Science
Copyright © 2020-2024
版权所有:南京青藤格致信息科技有限公司