This journal focuses on the development and application of algorithms and models for analyzing spatial and spatiotemporal data. It covers areas such as geospatial artificial intelligence (GeoAI), including foundation models and machine learning techniques for understanding Earth observation data and urban dynamics. The journal also addresses challenges in representing and predicting human mobility patterns, analyzing environmental data like soil moisture and satellite imagery, and developing methods for efficient data processing and feature extraction from complex spatial datasets.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
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.
Computer Science ApplicationsQ3
Discrete Mathematics and CombinatoricsQ3
Geometry and TopologyQ3
Information SystemsQ3
Modeling and SimulationQ3
Signal ProcessingQ3
Subject Classification
Web of Science Categories
Remote Sensing
Scopus Categories
Information SystemsComputer Science ApplicationsDiscrete Mathematics and CombinatoricsSignal ProcessingModeling and SimulationGeometry and Topology
Research Topics (OpenAlex)
Data Management and AlgorithmsHuman Mobility and Location-Based AnalysisGeographic Information Systems StudiesTraffic Prediction and Management TechniquesData-Driven Disease SurveillanceTransportation Planning and OptimizationAutomated Road and Building ExtractionComputational Geometry and Mesh GenerationAdvanced Database Systems and QueriesRemote Sensing and LiDAR Applications