Special Issue "Citizen Science and Geospatial Capacity Building"

Special Issue Editors

Dr. Sultan Kocaman
Website SciProfiles
Guest Editor
Hacettepe University, Department of Geomatics Engineering, 06800 Beytepe Ankara, Turkey
Interests: Geospatial Technologies; Geoinformatics; Photogrammetry; Remote Sensing; Citizen Science
Dr. Sameer Saran
Website
Guest Editor
Indian Institute of Remote Sensing, Indian Space Research Organisation, 4 Kalidas Road, Dehradun Uttarakhand, India Pin - 248 001
Interests: Geoinformatics; 3D CityModels; Web GIS; Spatial Databases; Geospatial Modeling
Dr. Murat Durmaz
Website
Guest Editor
Hacettepe University, Department of Geomatics Engineering, 06800 Beytepe Ankara, Turkey
Interests: Computer Science; Machine Learning; Precise Positioning and Navigation; Geospatial Data Analysis
Dr. A. Senthil Kumar
Website
Guest Editor
Centre for Space Science and Technology Education in Asia and the Pacific, Indian Institute of Remote Sensing Campus, 4 Kalidas Road, Dehradun Uttarakhand, Pin - 248 001, India
Interests: Image Processing; Soft-computing; Calibration/Validation of Earth observation sensors; Capacity Building methods for Geospatial technologies

Special Issue Information

Dear Colleagues,

Citizen Science and Volunteered Geographic Information (VGI) are gaining importance with the ubiquitous use of mobile technologies. In this new era, ordinary citizens may contribute to scientific processes based on their interest and abilities. The activities they may contribute to range from biology to environmental monitoring to classification of galaxies, all of which have a spatio-temporal dimension. The increasing demands on this research agenda are encouraging scientists from diverse backgrounds to collaborate under the term of “Citizen Science (CitSci)”. Geospatial tools and technologies enable many CitSci projects and also benefit from them. Geospatial capacity building, which is one of the main focus areas of ISPRS Commission V on Education and Outreach, also benefits from these developments. We propose here a Special Issue of ISPRS International Journal of Geo-Information on Citizen Science and Geospatial Capacity Building. This Special Issue emphasizes the increasing importance of citizen science in the scientific world as well as in supporting open science and open data for capacity building. We invite researchers to submit their works on Citizen Science and Geospatial Capacity Building. Research articles on citizen science and VGI that emphasize capacity building efforts, data quality, web and mobile GIS, web-based sharing of resources, crowdsourcing data collection methods, and geo-gamification are most welcome.

Dr. Sultan Kocaman
Dr. Sameer Saran
Dr. Murat Durmaz
Dr. A. Senthil Kumar
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.

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 1000 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.

Keywords

  • Geospatial capacity building
  • VGI
  • Citizen science
  • Crowdsourcing
  • PPGIS (Public Participation Geographic Information System)
  • Citizen Cyberscience
  • Volunteered Computing, Passive sensing
  • Spatial Data Analytics
  • Mobile geodata collection technologies
  • Web and mobile GIS
  • Remote sensing
  • Web-based sharing of resources
  • Education and outreach through geospatial technologies
  • Data quality assurance and data verification
  • Geo-gamification

Published Papers (4 papers)

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Research

Open AccessArticle
Spatial and Temporal Patterns in Volunteer Data Contribution Activities: A Case Study of eBird
ISPRS Int. J. Geo-Inf. 2020, 9(10), 597; https://doi.org/10.3390/ijgi9100597 - 11 Oct 2020
Abstract
Volunteered geographic information (VGI) has great potential to reveal spatial and temporal dynamics of geographic phenomena. However, a variety of potential biases in VGI are recognized, many of which root from volunteer data contribution activities. Examining patterns in volunteer data contribution activities helps [...] Read more.
Volunteered geographic information (VGI) has great potential to reveal spatial and temporal dynamics of geographic phenomena. However, a variety of potential biases in VGI are recognized, many of which root from volunteer data contribution activities. Examining patterns in volunteer data contribution activities helps understand the biases. Using eBird as a case study, this study investigates spatial and temporal patterns in data contribution activities of eBird contributors. eBird sampling efforts are biased in space and time. Most sampling efforts are concentrated in areas of denser populations and/or better accessibility, with the most intensively sampled areas being in proximity to big cities in developed regions of the world. Reported bird species are also spatially biased towards areas where more sampling efforts occur. Temporally, eBird sampling efforts and reported bird species are increasing over the years, with significant monthly fluctuations and notably more data reported on weekends. Such trends are driven by the expansion of eBird and characteristics of bird species and observers. The fitness of use of VGI should be assessed in the context of applications by examining spatial, temporal and other biases. Action may need to be taken to account for the biases so that robust inferences can be made from VGI observations. Full article
(This article belongs to the Special Issue Citizen Science and Geospatial Capacity Building)
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Open AccessArticle
A CitSci Approach for Rapid Earthquake Intensity Mapping: A Case Study from Istanbul (Turkey)
ISPRS Int. J. Geo-Inf. 2020, 9(4), 266; https://doi.org/10.3390/ijgi9040266 - 20 Apr 2020
Cited by 2
Abstract
Nowadays several scientific disciplines utilize Citizen Science (CitSci) as a research approach. Natural hazard research and disaster management also benefit from CitSci since people can provide geodata and the relevant attributes using their mobile devices easily and rapidly during or after an event. [...] Read more.
Nowadays several scientific disciplines utilize Citizen Science (CitSci) as a research approach. Natural hazard research and disaster management also benefit from CitSci since people can provide geodata and the relevant attributes using their mobile devices easily and rapidly during or after an event. An earthquake, depending on its intensity, is among the highly destructive natural hazards. Coordination efforts after a severe earthquake event are vital to minimize its harmful effects and timely in-situ data are crucial for this purpose. The aim of this study is to perform a CitSci pilot study to demonstrate the usability of data obtained by volunteers (citizens) for creating earthquake iso-intensity maps in a short time. The data were collected after a 5.8 Mw Istanbul earthquake which occurred on 26 September 2019. Through the mobile app “I felt the quake”, citizen observations regarding the earthquake intensity were collected from various locations. The intensity values in the app represent a revised form of the Mercalli intensity scale. The iso-intensity map was generated using a spatial kriging algorithm and compared with the one produced by The Disaster and Emergency Management Presidency (AFAD), Turkey, empirically. The results show that collecting the intensity information via trained users is a plausible method for producing such maps. Full article
(This article belongs to the Special Issue Citizen Science and Geospatial Capacity Building)
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Open AccessArticle
Citizens’ Spatial Footprint on Twitter—Anomaly, Trend and Bias Investigation in Istanbul
ISPRS Int. J. Geo-Inf. 2020, 9(4), 222; https://doi.org/10.3390/ijgi9040222 - 07 Apr 2020
Cited by 1
Abstract
Social media (SM) can be an invaluable resource in terms of understanding and managing the effects of catastrophic disasters. In order to use SM platforms for public participatory (PP) mapping of emergency management activities, a bias investigation should be undertaken with regard to [...] Read more.
Social media (SM) can be an invaluable resource in terms of understanding and managing the effects of catastrophic disasters. In order to use SM platforms for public participatory (PP) mapping of emergency management activities, a bias investigation should be undertaken with regard to the data related to the study area (urban, regional or national, etc.) to determine the spatial data dynamics. Thus, such determinations can be made on how SM can be used and interpreted in terms of PP. In this study, the city of Istanbul was chosen for social media data research area, as it is one of the most crowded cities in the world and expecting a major earthquake. The methodology for the data investigation is: 1. Obtain data and engage sampling, 2. Identify the representation and temporal biases in the data and normalize it in response to representation bias, 3. Identify general anomalies and spatial anomalies, 4. Manipulate the trend of the dataset with the discretization of anomalies and 5. Examine the spatiotemporal bias. Using this bias investigation methodology, citizen footprint dynamics in the city were determined and reference maps (most likely regional anomaly maps, representation maps, time-space bias maps, etc.) were produced. The outcomes of the study can be summarized in four steps. First, highly active users generate the majority of the data and removing this data as a general approach within a pseudo-cleaning process means concealing a large amount of data. Second, data normalization in terms of activity levels, changes the anomaly outcome resulting from diverse representation levels of users. Third, spatiotemporally normalized data present strong spatial anomaly tendency in some parts of the central area. Fourth, trend data is dense in the central area and the spatiotemporal bias assessments show the data density varies in terms of the time of day, day of week and season of the year. The methodology proposed in this study can be used to extract the unbiased daily routines of the social media data of the regions for the normal days and this can be referred for the emergency or unexpected event cases to detect the change or impacts. Full article
(This article belongs to the Special Issue Citizen Science and Geospatial Capacity Building)
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Open AccessArticle
Eliciting Knowledge on Technical and Legal Aspects of Participatory Toponym Handling
ISPRS Int. J. Geo-Inf. 2019, 8(11), 500; https://doi.org/10.3390/ijgi8110500 - 05 Nov 2019
Cited by 3
Abstract
There has been increased collaboration between citizens and scientists to achieve common goals in scientific or geographic data collection, analysis, and reporting. Geospatial technology is leveraging the power of citizens in such efforts. Governments have been exploring participatory approaches. This situation should be [...] Read more.
There has been increased collaboration between citizens and scientists to achieve common goals in scientific or geographic data collection, analysis, and reporting. Geospatial technology is leveraging the power of citizens in such efforts. Governments have been exploring participatory approaches. This situation should be balanced by sharing knowledge and collaborative learning between stakeholders involved in the participatory activity. Training and education are enhanced by providing guidelines, sharing best practices, and developing toolkits. For toponym handling, a generic framework and capacity building are needed to increase public awareness and enable citizen toponymists. This paper addresses issues around citizen involvement in increasing toponymic knowledge through citizen science and geospatial capacity building. First, we examined the current practice of toponym handling and developed a generic framework. We then used stakeholder feedback and other resources to modify the framework for Indonesian use. Second, we conducted collaborative learning to share information and bridge the knowledge gaps among multiple stakeholders. Third, we applied insights and lessons learned from these activities to develop ideas, suggestions, and action plans to implement participatory toponym handling in Indonesia. Full article
(This article belongs to the Special Issue Citizen Science and Geospatial Capacity Building)
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