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Submit a Manuscript to the Journal
International Journal of Geographical Information Science

For a Special Issue on
Deep Learning Approaches in Geographical Information Science and Human Geography

Abstract deadline
01 March 2022

Manuscript deadline
15 August 2022

Cover image - International Journal of Geographical Information Science

Special Issue Editor(s)

Stefano De Sabbata, University of Leicester
[email protected]

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Deep Learning Approaches in Geographical Information Science and Human Geography

Special Issue Guest Editors

Stefano De Sabbata, University of Leicester ([email protected])

Andrea Ballatore, King’s College London ([email protected])

Godwin Yeboah, University of Warwick ([email protected])

Harvey Miller, Ohio State University ([email protected])

Renee Sieber, McGill University ([email protected])

Ivan Tyukin, University of Leicester ([email protected])

Deep neural networks have had a transformative impact across a wide range of fields, gaining significant traction among researchers in academia and industry. Traditional methods in artificial intelligence and machine learning have long been part of Geographical Information Science (GIScience) and geocomputation, including research both on unsupervised learning approaches to geographic data mining (e.g., geodemographic classification and dimensionality reduction) and supervised methods of inference (e.g., spatial autocorrelation and geographically weighted regression). However, while deep machine learning has found wide use in remote sensing and earth observation, its application to human geography has been neglected until recently (Harris et al., 2017). Research works highlight the great potential of deep learning to study geographic phenomena: Xu et al. (2017) proposed the use of deep autoencoders to perform quality assessment of building footprints for OpenStreetMap; De Sabbata and Liu (2019) explored a geodemographic classification approach based on deep embedding clustering; Palmer et al. (2021) have been exploring the use of street-view data in public health studies.

This special issue develops from discussions that emerged at the Deep learning approaches in GIScience session of the Annual International Conference of the Royal Geographical Society (with IBG), but submissions are open to all interested authors. In particular, we welcome submissions focused on novel spatially-aware deep learning approaches and applying recent approaches to human geography topics in a novel way. Application areas include human geography, demography, digital geographies, public health, social equity and justice, sustainability and resilience, transport science and urban planning, and the digital humanities.

Relevant topics include, but are not limited to:

  • Geographic theory in deep learning approaches
  • Spatially-aware deep learning approaches
  • Deep learning approaches to analyse geospatial vector data
  • Deep learning approaches using quantitative-qualitative mixed-method
  • Deep learning approaches to geographic information retrieval and natural language processing
  • Deep learning approaches in geovisualisation
  • Deep learning applications with unstructured data or new data sources, including using data from street-view, drone or small low-cost satellites
  • Critical analysis of geographic deep learning
  • Novel geospatial datasets for geographic deep learning
  • Open research problems in applying deep learning methods in GIScience

Submission Instructions

The International Journal of Geographical Information Science (IJGIS) special issue welcomes submissions from all scholars. Interested authors should first submit a short abstract (250 words) to Stefano De Sabbata ([email protected]). The guest editors will review the abstracts to evaluate whether the submissions fit the themes of the special issue, and invite the authors of selected abstracts to submit a full manuscript. The invitation to submit a full manuscript does not guarantee the final acceptance to the special issue.

Full manuscripts, including any supporting materials and required data and codes that can reproduce findings reported in the manuscript, should be submitted using the journal's online submission portal and the authors should specify this SI as the target during their submission. Guideline for submission of full manuscripts can be found at: http://www.tandfonline.com/action/authorSubmission?journalCode=tgis20&page= instructions/.

The IJGIS considers all manuscripts on the strict condition that they have been submitted only to the IJGIS, that they have not been published already (including in conference proceedings), nor are they under consideration for publication or in press elsewhere. Manuscripts that significantly extend conference papers should (1) paraphrase original text with proper citations, and (2) clarify novel ideas or methods beyond what have been reported in the conference papers. Authors who fail to adhere to this condition will be charged with all costs that the IJGIS incurs for their papers, and their papers will not be published.

Important Dates

Abstracts (no more than 250 words): March 1st, 2022

Decisions on abstracts: March 15th, 2022

Full manuscripts: August 15th, 2022

Initial editorial decisions: late 2022

Accepted manuscripts online:  1-2 weeks after final acceptance on each manuscript

Anticipated publication of the special issue: late 2023

Instructions for AuthorsSubmit an Article

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