Citizen Science and Geospatial Capacity Building
This book is a collection of the articles published the Special Issue of ISPRS International Journal of Geo-Information on “Citizen Science and Geospatial Capacity Building”. The articles cover a wide range of topics regarding the applications of citizen science from a geospatial technology perspe...
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| Format: | Online |
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| Sprache: | Englisch |
| Veröffentlicht: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online-Zugang: | ONIX_20220621_9783036537139_115 |
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| collection | Directory of Open Access Books |
| description | This book is a collection of the articles published the Special Issue of ISPRS International Journal of Geo-Information on “Citizen Science and Geospatial Capacity Building”. The articles cover a wide range of topics regarding the applications of citizen science from a geospatial technology perspective. Several applications show 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, which are covered in the book. Particular emphasis is given to various problems encountered in the CitSci and VGI projects with a geospatial aspect, such as platform, tool and interface design, ontology development, spatial analysis and data quality assessment. The book also points out the needs and future research directions in these subjects, such 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 | Online |
| id | doab-20.500.12854ir-84537 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-845372024-03-28T03:32:48Z Citizen Science and Geospatial Capacity Building Kocaman, Sultan Saran, Sameer Durmaz, Murat Kumar, A. participatory toponyms knowledge sharing public participation citizen science geospatial capacity building volunteered geographic information social media spatiotemporal bias CitSci earthquake intensity mapping disaster mitigation spatial kriging volunteered geographic information (VGI) data contribution activities spatial and temporal patterns biases eBird community-based geoportal crowdsourced earth observation product remote sensing spatial data infrastructure (SDI) crowdsourced data quality GeoWeb outdoor air pollution symptom mapping data quality web application water quality community-based monitoring machine learning Indian monsoon Jacobin cuckoo Maxent species distribution model habitat suitability range expansion WorldClim CMIP crowdsourcing participatory GIS thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general This book is a collection of the articles published the Special Issue of ISPRS International Journal of Geo-Information on “Citizen Science and Geospatial Capacity Building”. The articles cover a wide range of topics regarding the applications of citizen science from a geospatial technology perspective. Several applications show 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, which are covered in the book. Particular emphasis is given to various problems encountered in the CitSci and VGI projects with a geospatial aspect, such as platform, tool and interface design, ontology development, spatial analysis and data quality assessment. The book also points out the needs and future research directions in these subjects, such 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. 2022-06-21T08:41:09Z 2022-06-21T08:41:09Z 2022 book ONIX_20220621_9783036537139_115 9783036537139 9783036537146 https://directory.doabooks.org/handle/20.500.12854/84537 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5520 https://mdpi.com/books/pdfview/book/5520 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3714-6 10.3390/books978-3-0365-3714-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036537139 9783036537146 202 Basel open access |
| spellingShingle | participatory toponyms knowledge sharing public participation citizen science geospatial capacity building volunteered geographic information social media spatiotemporal bias CitSci earthquake intensity mapping disaster mitigation spatial kriging volunteered geographic information (VGI) data contribution activities spatial and temporal patterns biases eBird community-based geoportal crowdsourced earth observation product remote sensing spatial data infrastructure (SDI) crowdsourced data quality GeoWeb outdoor air pollution symptom mapping data quality web application water quality community-based monitoring machine learning Indian monsoon Jacobin cuckoo Maxent species distribution model habitat suitability range expansion WorldClim CMIP crowdsourcing participatory GIS thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Citizen Science and Geospatial Capacity Building |
| title | Citizen Science and Geospatial Capacity Building |
| title_full | Citizen Science and Geospatial Capacity Building |
| title_fullStr | Citizen Science and Geospatial Capacity Building |
| title_full_unstemmed | Citizen Science and Geospatial Capacity Building |
| title_short | Citizen Science and Geospatial Capacity Building |
| title_sort | citizen science and geospatial capacity building |
| topic | participatory toponyms knowledge sharing public participation citizen science geospatial capacity building volunteered geographic information social media spatiotemporal bias CitSci earthquake intensity mapping disaster mitigation spatial kriging volunteered geographic information (VGI) data contribution activities spatial and temporal patterns biases eBird community-based geoportal crowdsourced earth observation product remote sensing spatial data infrastructure (SDI) crowdsourced data quality GeoWeb outdoor air pollution symptom mapping data quality web application water quality community-based monitoring machine learning Indian monsoon Jacobin cuckoo Maxent species distribution model habitat suitability range expansion WorldClim CMIP crowdsourcing participatory GIS thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | participatory toponyms knowledge sharing public participation citizen science geospatial capacity building volunteered geographic information social media spatiotemporal bias CitSci earthquake intensity mapping disaster mitigation spatial kriging volunteered geographic information (VGI) data contribution activities spatial and temporal patterns biases eBird community-based geoportal crowdsourced earth observation product remote sensing spatial data infrastructure (SDI) crowdsourced data quality GeoWeb outdoor air pollution symptom mapping data quality web application water quality community-based monitoring machine learning Indian monsoon Jacobin cuckoo Maxent species distribution model habitat suitability range expansion WorldClim CMIP crowdsourcing participatory GIS thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220621_9783036537139_115 |