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International Journal of Geographical Information Science is a peer-reviewed journal published by Taylor & Francis, covering Legal and Regulatory Analysis, Linguistic, Cultural, and Literary Studies, Military Technology and Strategies. Over its lifetime it has published 603 papers, which have received 423 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Geographical Information Science 12 (3): 45–58.
Formats any DOI in International Journal of Geographical Information Science style. No sign-up. |
| Publishes research in | Legal and Regulatory Analysis Linguistic, Cultural, and Literary Studies Military Technology and Strategies Internet of Things and Social Network Interactions Diverse Approaches in Healthcare and Education Studies |
| ISSN | 1365-8816 |
| h-index | 5 |
| i10-index | 4 |
| Top institutions publishing here | Hellenic Petroleum (Greece) |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The new oral anticoagulants (NOAC) are alternative drugs to classical vitamin K antagonists (VKA) for stroke prevention in patients with nonvalvular atrial fibrillation. They have been shown in randomized trials to be superior to warfarin in reducing clinical endpoints, although at rather small effect sizes. However, in study centers with good anticoagulation management their superiority…
Geographically Weighted Regression (GWR) is a widely used tool for exploring spatial heterogeneity of processes over geographic space. GWR computes location-specific parameter estimates, which makes its calibration process computationally intensive. The maximum number of data points that can be handled by current open-source GWR software is approximately 15,000 observations on a standard desktop. In the…
ABSTRACTTo-date few research has successfully integrated big data from multiple sources to characterize urban mixed-use buildings. In this paper, we introduce a probabilistic model to integrate multi-source and geospatial big data (social network data, taxi trajectories, Points of Interest and remote sensing images) to characterize urban mixed-use buildings. The usefulness of our model is demonstrated…
Affine transformation that allows the axis-specific rotations and scalars to capture the more transformation details has been extensively applied in a variety of geospatial fields. In tradition, th...
