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Geospatial Data Analytics and Urban Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Geospatial Data Analytics and Urban Applications/ edited by Sandeep Narayan Kundu.
其他作者:	Kundu, Sandeep Narayan.
面頁冊數:	XVIII, 187 p. 106 illus., 95 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Urban Economics. -
電子資源:	https://doi.org/10.1007/978-981-16-7649-9
ISBN:	9789811676499

Geospatial Data Analytics and Urban Applications
Geospatial Data Analytics and Urban Applications[electronic resource] /edited by Sandeep Narayan Kundu. - 1st ed. 2022. - XVIII, 187 p. 106 illus., 95 illus. in color.online resource. - Advances in 21st Century Human Settlements,2198-2554. - Advances in 21st Century Human Settlements,.

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.

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.

ISBN: 9789811676499

Standard No.: 10.1007/978-981-16-7649-9doiSubjects--Topical Terms:

1102857
Urban Economics.

LC Class. No.: G70.212-.217

Dewey Class. No.: 910.285

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