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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 technolog...

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Bibliographic Details
Main Author: Kocaman, Sultan
Other Authors: Saran, Sameer, Durmaz, Murat, Kumar, A.
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Participatory Gis
Machine Learning
Geoweb
Earthquake
Indian Monsoon
Habitat Suitability
Participatory Toponyms
Range Expansion
Crowdsourcing
Water Quality
Public Participation
Jacobin Cuckoo
Symptom Mapping
Volunteered Geographic Information (vgi)
Intensity Mapping
Web Application
Volunteered Geographic Information
Citsci
Social Media
Crowdsourced Earth Observation Product
Data Contribution Activities
Spatiotemporal Bias
Crowdsourced Data Quality
Outdoor Air Pollution
Knowledge Sharing
Ebird
Spatial Data Infrastructure (sdi)
Data Quality
Cmip
Community-based Geoportal
Worldclim
Community-based Monitoring
Remote Sensing
Spatial Kriging
Maxent
Spatial And Temporal Patterns
Disaster Mitigation
Geospatial Capacity Building
Research And Information: General / Bicssc
Species Distribution Model
Biases
Citizen Science
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (202 p.)
ISBN:9783036537139
9783036537146
books978-3-0365-3714-6

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