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| |  Online-Ressource |
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| Titel: | Geospatial Data Analytics and Urban Applications |
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| Mitwirkende: | Kundu, Sandeep Narayan [HerausgeberIn]  |
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| Verf.angabe: | edited by Sandeep Narayan Kundu |
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| Ausgabe: | 1st ed. 2022. |
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| Verlagsort: | Singapore |
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| | Singapore |
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| Verlag: | Springer Singapore |
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| | Imprint: Springer |
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| E-Jahr: | 2022 |
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| Jahr: | 2022. |
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| | 2022. |
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| Umfang: | 1 Online-Ressource(XVIII, 187 p. 106 illus., 95 illus. in color.) |
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| Gesamttitel/Reihe: | Advances in 21st Century Human Settlements |
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| | Springer eBook Collection |
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| ISBN: | 9789811676499 |
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| Abstract: | Introduction: Spatial Big Data and Urban Analytics -- Preferential Home Search in Urban Settings -- Air Quality Dynamics and Urban Heat Island effects during COVID-19 -- Mass Rapid Transit and Population Dynamics during Covid-19 in Singapore -- A Geospatial analysis of Tweets during Post-Circuit Breaker in Singapore -- Space-Time Analytics of New York City Shooting Incidents -- Spatial and Temporal patterns of Tourist Source Market Emissiveness: A Study of Shanghai, China -- Spatial Perspective of Crime Patterns in Chicago amid Covid-19 -- Geospatial analysis of Grab Trips in Singapore -- Ecological Vulnerability of Nyingchi, Tibet. |
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| | This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving. |
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| DOI: | doi:10.1007/978-981-16-7649-9 |
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| URL: | Resolving-System: https://doi.org/10.1007/978-981-16-7649-9 |
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| | DOI: https://doi.org/10.1007/978-981-16-7649-9 |
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| Schlagwörter: | (s)Stadt / (s)Raumdaten / (s)Datenanalyse |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Geospatial data analytics and urban applications. - Singapore : Springer, 2022. - xviii, 187 Seiten |
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| | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| K10plus-PPN: | 1785429833 |
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| Lokale URL UB: |  Zum Volltext |
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9789811676499
Geospatial Data Analytics and Urban Applications / Kundu, Sandeep Narayan [HerausgeberIn]; 2022. (Online-Ressource)
68864343
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