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SIGSPATIAL 2026: International Conference on Advances in Geographic Information Systems

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投稿締切日:
2026-05-22
通知日:
2026-08-05
開催日:
2026-11-03
開催地:
Riverside, California, USA
開催回数:
34
カレンダーに追加: Outlook / Apple（.ics）
CCF: C   ICORE: A   閲覧: 38011   フォロー: 19   参加: 2
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SIGSPATIAL
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会伴インデックス (CP-I)

72.6 / 100
全 5,695 件中 第 294 位 · 上位 6%

情報システム・Web 分野 253 件中 第 15 位

学術的評価 (35%)
88
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
96
コミュニティの注目度 (10%)
51
公開情報の充実度 (15%)
50

使用した入力: 収録ランク：CCF C, ICORE A · 確認できる開催回数：34 · 会伴でフォローしている研究者：19 人 · 過去 24 か月にこのページを開いた研究者：19 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0)
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信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-11

論文募集

SIGSPATIAL 2026 (International Conference on Advances in Geographic Information Systems) is a CCF C / ICORE A conference held in Riverside, California, USA on 2026-11-03. The paper submission deadline is 2026-05-22. Acceptance notifications are sent on 2026-08-05.

Topics of Interest Spatial AI Generative AI for spatial reasoning and simulation Spatial and spatio-temporal foundation models Causal reasoning in space and time Spatial machine learning and explainability Privacy and ethics in spatial computing Spatial and spatio-temporal reasoning in robotics Agentic GeoAI Trustworthy and responsible GeoAI Spatial and spatio-temporal Retrieval Augmented Generation (RAG) Techniques Spatial representation learning, encoding, and grounding methods for multi-modal data Evaluation benchmarks for foundation models Safety, hallucination control, and uncertainty quantification in spatially grounded foundation models Spatial Computing Systems and Big Spatial Data Infrastructure Spatial and spatio-temporal analysis Query processing and optimization Spatial data mining, pattern analysis and knowledge discovery Spatio-temporal data management Spatial decision support Spatial data quality and uncertainty Geo-entity linkage, geo-enrichment Distributed and parallel algorithms Geospatial architectures and middleware GPU and novel hardware solutions Cloud and edge spatial data platforms Spatial vector databases Spatial graph data management and analysis Unified relational/graph/vector architectures for spatial retrieval-augmented generation Pervasive Spatial Computing and Internet of Spatial Things Localization and tracking indoors/outdoors Contact tracing Location-based services Spatio-temporal sensor networks Traffic telematics Mobile systems and vehicular ad hoc networks Edge spatial computing systems and on-device intelligence Virtual/Augmented/Mixed reality for spatial computing Spatial computing in autonomous vehicles Cyber-physical systems and their applications in spatial computing Spatial Data Acquisition, Integration, and Processing Standardization and semantic interoperability Earth observation and satellite data processing Computational geometry and computer graphics Spatial scene understanding and spatial awareness in images and videos Spatial, geo-social and trajectory simulation Spatio-temporal stream processing Governance and cross-organization spatial data sharing Spatial knowledge graphs Multi-modal spatial computing and data fusion Space and planetary mapping Spatial Search Geographic information retrieval Human-computer interaction and visualization for spatial systems Similarity searching Spatial data structures and algorithms Spatial modeling and reasoning Spatio-textual searching Natural language interfaces and conversational search over spatial data Spatial Intelligence for Society Intelligent transportation and sustainable mobility Epidemiology and health Cyber and physical security Smart cities and spaces Urban data and planning Geospatial computer vision applications Location business intelligence Personalized geospatial recommendation systems Environmental, climate, and natural systems Agricultural, food, and water systems Defense, intelligence, and public safety Utilities and urban infrastructure Geo health and epidemiology Industrial applications Quantum Spatial Computing and Technologies Quantum computing for spatial data and applications Hybrid quantum-classical pipelines for spatial computing applications Quantum simulations for spatial systems and phenomena Quantum machine learning for spatial applications Quantum-inspired spatial indexing and search Quantum spatial databases Quantum sensing for spatial data and applications GPS-free quantum navigation technologies Benchmarks and empirical studies for quantum technologies on spatial workloads Digital Twins in Spatial Computing Systems Urban, regional, and planetary digital twins Earth systems digital twins for climate, hazards, hydrology, and Earth ecosystem dynamics Facility digital twins for buildings, campuses, utilities, and industrial assets Mobility digital twins for flows of people, vehicles, goods, and services Human-centric and socio-economic digital twins for human services, social systems, health systems, transportation systems, and livability. Digital twin platforms
最終更新：Dou Sun（）

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