Uncertainty Modeling in Spatial Data Analysis

Dear Colleagues,

At present, we are facing a revolution in geospatial data collection, which is resulting in an unprecedented amount of geospatial data. These are provided from a wide range of sources, e.g., public authorities, the private sector, crowdsourcing, and citizen science activities being captured through the classical and emerging instruments—e.g., space/air-borne sensors, geo-sensor networks, volunteers, and social media. Therefore, it is crucial and timely to develop and advance theories and methods to facilitate the integration, analysis, and validation of geospatial data, especially for the recent and emerging data sources. The ISPRS working group IV/3 focuses on spatial data fusion algorithms, spatial statistics, spatial analysis, data mining and optimization, data quality, and information uncertainty assessment.

This Special Issue aims at presenting an outlet for research and review articles that can address the following topics. The topics include but are not limited to:

• Data mining methods applicable to spatial data;
• Quality assessment of spatial data and products;
• Data/information fusion;
• Spatial data optimization;
• Innovative algorithms and tools for interoperability of geodata;
• Multi-criteria decision making methods;
• Crowd-sourced data, volunteered geographic/geospatial information, citizen science;
• Address challenges in big spatial data in GISciences;
• Spatial statistics;
• Uncertainty assessment and modeling;
• Spatial decision support system and incomplete/imperfect data.

Papers must be original contributions, not previously published or submitted to other journals. Papers published or submitted for publication in conference proceedings may be considered if they are considerably extended and improved. Authors must use the provided Microsoft Word template or LaTeX template to prepare their manuscript and must follow the instructions for authors at https://www.mdpi.com/journal/ijgi/instructions.

Please send an email to the Guest Editors to let them know your interest in contributing a paper as soon as possible, preferably with a tentative title and a brief abstract.

Assoc. Prof. Jamal Jokar Arsanjani
Prof. Mahmoud Reza Delavar
Dr. Gerhard Navratil
Dr. Ana-Maria Olteanu-Raimond
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.