Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Xiaobai Angela Yao"'
Autor:
Xuebin Wei, Xiaobai Angela Yao
Publikováno v:
Cartography and Geographic Information Science. 48:258-274
People interact with each other in space and time. Improved understanding of human interactions in spatial, temporal, and social dimensions are highly beneficial for research and practices in publi...
Publikováno v:
Annals of GIS. 27:43-56
Forecasting political elections has attracted a lot of attention. Traditional election forecasting models in political science generally take preference in poll surveys and economic growth at the n...
Autor:
Doori Oh, Xiaobai Angela Yao
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 626, p 626 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 9
ISPRS International Journal of Geo-Information
Volume 10
Issue 9
Place types are often used to query places or retrieve data in gazetteers. Existing gazetteers do not use the same place type classification schemes, and the various typing schemes can cause difficulties in data alignment and matching. Different plac
Publikováno v:
Computers, Environment and Urban Systems. 75:35-48
Due to the worldwide trend of industrialization and urbanization, air pollutants were emitted heavily on a global scale particularly in developing countries, which produces adverse effects on human health by causing health problems such as respirator
The growing ubiquity of location/activity sensing technologies and location-based services (LBS) has led to a large volume and variety of location-based big data (LocBigData), such as location tracking or sensing data, social media data, and crowdsou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36f29a8c22963441740089b1e10c3d7
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91804
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91804
The last decade has seen an exponential growth in location-based big data research. Indeed, the availability of fine-grained location-based big data has created unprecedented opportunities for rese...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc49e5adc8ac99d250b0d45f397b246d
https://www.zora.uzh.ch/id/eprint/177486/
https://www.zora.uzh.ch/id/eprint/177486/
Publikováno v:
Computers, Environment and Urban Systems. 77:101357
Cities grow with processes resulting in the agglomeration of population and socioeconomic activities. At any stage of urban development, a city possesses a spatial structure of urban fabric to facilitate its functions. In this study, we find that the
Autor:
Xiaobai Angela Yao, Woo Jang
Publikováno v:
Transactions in GIS. 15:541-555
Spatial interpolation has been widely used to improve the spatial granularity of data, or to mediate between inconsistent zoning schemes of spatial data. Traditional areal interpolation methods translate values of source zones to those of target zone
Autor:
Xiaobai Angela Yao
Publikováno v:
Computers, Environment and Urban Systems. 31:535-550
This study investigates the potential demand for public transit for commuting trips – a rarely explored perspective for the study of public transit systems. Potential demand for public transit refers to the kind of demand that is not explicitly exp
Publikováno v:
Advances in Geographic Information Science ISBN: 9783319199498
Previous transportation network growth research in the United States has focused on long-term historical changes across selected metropolitan areas. However, short-term comparative explorations, especially those considering all levels of the nationwi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e422c25ff5d3fa6e2e4ca432ec64f622
https://doi.org/10.1007/978-3-319-19950-4_10
https://doi.org/10.1007/978-3-319-19950-4_10