Submit a Manuscript to the Journal

International Journal of Geographical Information Science

For a Special Issue on

Climate change adaptation using Crowdsourced Geospatial Information: Understanding the human-environment interactions

Manuscript deadline
31 December 2023

Cover image - International Journal of Geographical Information Science

Special Issue Editor(s)

Motti Zohar, University of Haifa
[email protected]

Yair Grinberger, Hebrew University of Jerusalem
[email protected]

Peter Mooney, Maynooth University
[email protected]

Carolin Klonner, Heidelberg University
[email protected]

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Climate change adaptation using Crowdsourced Geospatial Information: Understanding the human-environment interactions

Crowdsourced Geospatial Information (CGI) from social media, volunteered geographic information (VGI), citizen science platforms, and participatory mapping approaches provide significant value for a wide range of scientific disciplines and applications. In terms of human-environment relations, the use of these resources can give insights into people’s perceptions of and interactions with their environment. Beyond the immediate response to climate-related events and disasters and their management, CGI can support the ability of a community to cope with the challenges posed by climate-induced changes to the natural environment by informing preparedness and mitigation actions initiated regularly towards future events and enhancing local resilience. Thus, exploiting CGI resources can improve community’s adaptability to climate change and related phenomena. Achieving this involves approaches relating to different analytical dimensions: depicting the current status quo, identifying developments over time, and predicting future human-environment interactions. Naturally, CGI resources may be inaccurate, incomplete, and noisy. Nevertheless, their usage can offer significant theoretical and methodological innovations for better understanding the human-environment interactions.

We invite any researcher working on a relevant issue to submit original studies and reviews aimed at using CGI to support human-environment interaction issues and climate-change adaptability. Of particular interest are new developments in theories and methodologies for significant progress in these themes. Potential themes may include but are not limited to the following topics:

  • Applying CGI to analyse various human-environment interactions
  • Theories, models for CGI data processing, knowledge production and communication to support climate change adaptation
  • Developing methods utilizing CGI resources to assess communities’ vulnerability and enhance their resilience
  • Using spatial approaches to detect and screen biases, rumours, and fake news in geo-social data related to climate-induced phenomena and urban environments
  • Identifying and addressing ethical issues arising from the use of CGI in community-based projects
  • Identifying temporal and spatial trends and phenomena that are reflected in CGI systems and their implications for producing valid assessments of preparedness and resilience

Submission Instructions

Manuscripts for the special issue should be submitted at the journal's submission portal ( by December 31st 2023, and the authors should specify this SI as the target during their submission. Guidelines for submission can be found at:

Manuscripts do not comply with the guidelines will be returned without reviews. The International Journal of Geographical Information Science exercises double-blinded peer reviews, so authors and affiliations must be kept anonymous during the peer review. Deposition of preprints in open archives online must assure anonymity for double-blinded peer reviews. The journal considers all manuscripts on the strict condition that they have been submitted only to this journal, 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 extended abstracts should (1) paraphrase original text with proper citations, and (2) clarify novel ideas or methods beyond what have been reported in the extended abstracts in the cover letter.

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