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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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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2022
Soggetti:
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
Accesso online:ONIX_20220621_9783036537139_115
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Riassunto: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.

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