This journal publishes research on advanced statistical and machine learning methods for analyzing geographical data, including causal inference with spatial heterogeneity, modeling categorical geospatial data with improved rare class recovery, and transportation mode detection using GPS trajectories.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2014
2015
2016
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2018
2019
2020
2021
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 DevelopmentQ1
Information SystemsQ1
Library and Information SciencesQ1
Subject Classification
Web of Science Categories
Computer Science, Information SystemsGeographyGeography, PhysicalInformation Science & Library Science
Scopus Categories
Library and Information SciencesInformation SystemsGeography, Planning and Development
Research Topics (OpenAlex)
Legal and Regulatory AnalysisLinguistic, Cultural, and Literary StudiesMilitary Technology and StrategiesInternet of Things and Social Network InteractionsDiverse Approaches in Healthcare and Education StudiesGeographic Information Systems StudiesGroundwater and Watershed AnalysisSoil and Land Suitability AnalysisRemote Sensing in AgricultureInnovation in Digital Healthcare Systems