This journal focuses on the development and application of advanced computational methods, particularly deep learning and graph-based approaches, for analyzing and modeling complex spatial and spatio-temporal data. It addresses challenges in areas such as urban expansion modeling, multi-hazard forecasting, topographic map updates, synthetic trajectory generation, and geometric shape classification of vector polygons. The research emphasizes efficient data management, feature extraction, and the generation of realistic and privacy-preserving data.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Geography, Planning and DevelopmentQ2
Information SystemsQ2
Subject Classification
Web of Science Categories
Computer Science, Information SystemsGeography, Physical
Scopus Categories
Information SystemsGeography, Planning and Development
Research Topics (OpenAlex)
Data Management and AlgorithmsGeographic Information Systems StudiesAdvanced Database Systems and QueriesHuman Mobility and Location-Based AnalysisConstraint Satisfaction and OptimizationData Mining Algorithms and ApplicationsAutomated Road and Building ExtractionTraffic Prediction and Management TechniquesTime Series Analysis and Forecasting3D Modeling in Geospatial Applications