Name: Citizen Science and Geospatial Capacity Building (en Inglés)
SKU: 56772345
Price: 71.35 USD
Availability: InStock
Author: Kocaman, Sultan ; Saran, Sameer ; Durmaz, Murat

portada Citizen Science and Geospatial Capacity Building (en Inglés)

Citizen Science and Geospatial Capacity Building (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Kocaman, Sultan ; Saran, Sameer ; Durmaz, Murat

Idioma

Inglés

N° páginas

202

Encuadernación

Tapa Dura

Dimensiones

24.4x17x1.8 cm

Peso

0.64 kg.

ISBN13

9783036537139

Categorías

Ciencias de la tierra/geociencias

Citizen Science and Geospatial Capacity Building (en Inglés)

Kocaman, Sultan ; Saran, Sameer ; Durmaz, Murat (Autor) · Mdpi AG · Tapa Dura

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Reseña del libro "Citizen Science and Geospatial Capacity Building (en Inglés)"

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.