Editorial on the Citizen Science and Geospatial Capacity Building

This article introduces the Special Issue on “Citizen Science and Geospatial Capacity Building” and briefly evaluates the future trends in this field. This Special Issue was initiated for emphasizing the importance of citizen science (CitSci) and volunteered geographic information (VGI) in various s...

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Autores principales:	Sultan Kocaman, Sameer Saran, Murat Durmaz, Senthil Kumar
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geospatial capacity building citizen science volunteered geographic information crowdsourcing participatory GIS Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/5bbab35fb30341b9a0a415055771b720
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spelling	oai:doaj.org-article:5bbab35fb30341b9a0a415055771b7202021-11-25T17:52:53ZEditorial on the Citizen Science and Geospatial Capacity Building10.3390/ijgi101107412220-9964https://doaj.org/article/5bbab35fb30341b9a0a415055771b7202021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/741https://doaj.org/toc/2220-9964This article introduces the Special Issue on “Citizen Science and Geospatial Capacity Building” and briefly evaluates the future trends in this field. This Special Issue was initiated for emphasizing the importance of citizen science (CitSci) and volunteered geographic information (VGI) in various stages of geodata collection, processing, analysis and visualization; and for demonstrating the capabilities and advantages of both approaches. The topic falls well within the main focus areas of ISPRS Commission V on Education and Outreach. The articles collected in the issue have shown the enormously wide application fields of geospatial technologies, and the need of CitSci and VGI support for efficient information extraction and synthesizing. They also pointed out various problems encountered during these processes. The needs and future research directions in this subject can broadly be categorized as; (a) data quality issues especially in the light of big data; (b) ontology studies for geospatial data suited for diverse user backgrounds, data integration, and sharing; (c) development of machine learning and artificial intelligence based online tools for pattern recognition and object identification using existing repositories of CitSci and VGI projects; and (d) open science and open data practices for increasing the efficiency, decreasing the redundancy, and acknowledgement of all stakeholders.Sultan KocamanSameer SaranMurat DurmazSenthil KumarMDPI AGarticlegeospatial capacity buildingcitizen sciencevolunteered geographic informationcrowdsourcingparticipatory GISGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 741, p 741 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geospatial capacity building citizen science volunteered geographic information crowdsourcing participatory GIS Geography (General) G1-922
spellingShingle	geospatial capacity building citizen science volunteered geographic information crowdsourcing participatory GIS Geography (General) G1-922 Sultan Kocaman Sameer Saran Murat Durmaz Senthil Kumar Editorial on the Citizen Science and Geospatial Capacity Building
description	This article introduces the Special Issue on “Citizen Science and Geospatial Capacity Building” and briefly evaluates the future trends in this field. This Special Issue was initiated for emphasizing the importance of citizen science (CitSci) and volunteered geographic information (VGI) in various stages of geodata collection, processing, analysis and visualization; and for demonstrating the capabilities and advantages of both approaches. The topic falls well within the main focus areas of ISPRS Commission V on Education and Outreach. The articles collected in the issue have shown the enormously wide application fields of geospatial technologies, and the need of CitSci and VGI support for efficient information extraction and synthesizing. They also pointed out various problems encountered during these processes. The needs and future research directions in this subject can broadly be categorized as; (a) data quality issues especially in the light of big data; (b) ontology studies for geospatial data suited for diverse user backgrounds, data integration, and sharing; (c) development of machine learning and artificial intelligence based online tools for pattern recognition and object identification using existing repositories of CitSci and VGI projects; and (d) open science and open data practices for increasing the efficiency, decreasing the redundancy, and acknowledgement of all stakeholders.
format	article
author	Sultan Kocaman Sameer Saran Murat Durmaz Senthil Kumar
author_facet	Sultan Kocaman Sameer Saran Murat Durmaz Senthil Kumar
author_sort	Sultan Kocaman
title	Editorial on the Citizen Science and Geospatial Capacity Building
title_short	Editorial on the Citizen Science and Geospatial Capacity Building
title_full	Editorial on the Citizen Science and Geospatial Capacity Building
title_fullStr	Editorial on the Citizen Science and Geospatial Capacity Building
title_full_unstemmed	Editorial on the Citizen Science and Geospatial Capacity Building
title_sort	editorial on the citizen science and geospatial capacity building
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5bbab35fb30341b9a0a415055771b720
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Editorial on the Citizen Science and Geospatial Capacity Building

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