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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yitzhak Mastai | |
dc.date.accessioned | 2022-05-02T08:28:43Z | - |
dc.date.available | 2022-05-02T08:28:43Z | - |
dc.date.issued | 2015 | |
dc.identifier.isbn | 9789535121251 9789535142249 | |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/146666 | - |
dc.language.iso | eng | |
dc.publisher | IntechOpen | |
dc.relation.isbasedon | 10.5772/58651 | |
dc.relation.uri | https://www.intechopen.com/books/advanced-topics-in-crystallization | |
dc.rights.uri | CC BY-NC-ND (姓名標示-非商業性-禁止改作) | |
dc.source | DOAB | |
dc.subject.classification | Chemistry | |
dc.subject.other | volunteer geographic information | |
dc.subject.other | positional accuracy | |
dc.subject.other | land administration systems | |
dc.subject.other | location-based social networks (LBSNs) | |
dc.subject.other | clustering | |
dc.subject.other | user preference | |
dc.subject.other | social relationship effect | |
dc.subject.other | spatial proximity | |
dc.subject.other | crowdsourcing | |
dc.subject.other | volunteered geographic information (VGI) | |
dc.subject.other | ensemble | |
dc.subject.other | classification accuracy | |
dc.subject.other | latent class analysis | |
dc.subject.other | OpenStreetMap | |
dc.subject.other | VGI | |
dc.subject.other | community mapping | |
dc.subject.other | data analysis | |
dc.subject.other | GIS education | |
dc.subject.other | data import | |
dc.subject.other | citizen science | |
dc.subject.other | marine mammal | |
dc.subject.other | opportunistic data | |
dc.subject.other | Alaska | |
dc.subject.other | spatial bias | |
dc.subject.other | sample size | |
dc.subject.other | volunteer | |
dc.subject.other | education | |
dc.subject.other | recruitment | |
dc.subject.other | Pentatomidae | |
dc.subject.other | Environmental niche modeling | |
dc.subject.other | citizen science | |
dc.subject.other | crowdsourcing | |
dc.subject.other | MaxEnt | |
dc.subject.other | QGIS | |
dc.subject.other | brown marmorated stink bug | |
dc.subject.other | air quality estimation | |
dc.subject.other | air pollution | |
dc.subject.other | citizen science | |
dc.subject.other | sky images | |
dc.subject.other | social media | |
dc.subject.other | data fusion | |
dc.subject.other | citizen science | |
dc.subject.other | volunteered geographic information (VGI) | |
dc.subject.other | toponym | |
dc.subject.other | crowdsourced data collection | |
dc.subject.other | data quality | |
dc.subject.other | GIS | |
dc.subject.other | digital cartography | |
dc.subject.other | algorithms | |
dc.subject.other | spatial accuracy | |
dc.subject.other | analysis | |
dc.subject.other | OpenStreetMap | |
dc.subject.other | citizen science | |
dc.subject.other | geoinformatics | |
dc.subject.other | projects survey | |
dc.subject.other | geoinformation in citizen science | |
dc.subject.other | VGI in citizen science | |
dc.subject.other | crowdsourced geoinformation collection and analysis | |
dc.title | Advanced Topics in Crystallization | |
dc.type | 電子教科書 | |
dc.classification | 自然科學類 | |
Theme: | 教科書-自然科學類 |
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