Citizen Science and Geospatial Capacity Building

ISBN 10: 3036537139 / ISBN 13: 9783036537139

Published by MDPI AG, 2022

About this Item

Citizen Science and Geospatial Capacity Building | Buch | Gebunden | Englisch | 2022 | MDPI AG | EAN 9783036537139 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 122080890

Bibliographic Details

• Title: Citizen Science and Geospatial Capacity Building
• Publisher: MDPI AG
• Publication Date: 2022
• Language: English
• ISBN 10: 3036537139
• ISBN 13: 9783036537139
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 18D millimeters 250 millimeters width by 175 millimeters height by 18 millimeters depth
• Weight: 705 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.