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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.

education --- geoinformatics --- GIS education --- classification accuracy --- latent class analysis --- location-based social networks (LBSNs) --- geoinformation in citizen science --- toponym --- recruitment --- community mapping --- user preference --- land administration systems --- positional accuracy --- sample size --- spatial proximity --- crowdsourced geoinformation collection and analysis --- air quality estimation --- digital cartography --- crowdsourcing --- VGI in citizen science --- crowdsourced data collection --- social relationship effect --- analysis --- GIS --- data quality --- opportunistic data --- volunteer --- volunteered geographic information (VGI) --- VGI --- data fusion --- algorithms --- OpenStreetMap --- volunteer geographic information --- citizen science --- ensemble --- spatial bias --- projects survey --- Alaska --- marine mammal --- brown marmorated stink bug --- social media --- Environmental niche modeling --- data analysis --- Pentatomidae --- QGIS --- MaxEnt --- spatial accuracy --- clustering --- air pollution --- data import --- sky images