TY - BOOK ID - 50682992 TI - Geoinformatics in Citizen Science PY - 2019 SN - 3039210734 3039210726 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - education KW - geoinformatics KW - GIS education KW - classification accuracy KW - latent class analysis KW - location-based social networks (LBSNs) KW - geoinformation in citizen science KW - toponym KW - recruitment KW - community mapping KW - user preference KW - land administration systems KW - positional accuracy KW - sample size KW - spatial proximity KW - crowdsourced geoinformation collection and analysis KW - air quality estimation KW - digital cartography KW - crowdsourcing KW - VGI in citizen science KW - crowdsourced data collection KW - social relationship effect KW - analysis KW - GIS KW - data quality KW - opportunistic data KW - volunteer KW - volunteered geographic information (VGI) KW - VGI KW - data fusion KW - algorithms KW - OpenStreetMap KW - volunteer geographic information KW - citizen science KW - ensemble KW - spatial bias KW - projects survey KW - Alaska KW - marine mammal KW - brown marmorated stink bug KW - social media KW - Environmental niche modeling KW - data analysis KW - Pentatomidae KW - QGIS KW - MaxEnt KW - spatial accuracy KW - clustering KW - air pollution KW - data import KW - sky images UR - https://www.unicat.be/uniCat?func=search&query=sysid:50682992 AB - The book features contributions that report original research in the theoretical, technological, and social aspects of geoinformation methods, as applied to supporting citizen science. Specifically, the book focuses on the technological aspects of the field and their application toward the recruitment of volunteers and the collection, management, and analysis of geotagged information to support volunteer involvement in scientific projects. Internationally renowned research groups share research in three areas: First, the key methods of geoinformatics within citizen science initiatives to support scientists in discovering new knowledge in specific application domains or in performing relevant activities, such as reliable geodata filtering, management, analysis, synthesis, sharing, and visualization; second, the critical aspects of citizen science initiatives that call for emerging or novel approaches of geoinformatics to acquire and handle geoinformation; and third, novel geoinformatics research that could serve in support of citizen science. ER -