國立虎尾科技大學 |

Geospatial Data Analytics and Urban Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Geospatial Data Analytics and Urban Applications/ edited by Sandeep Narayan Kundu.
other author:	Kundu, Sandeep Narayan.
Description:	XVIII, 187 p. 106 illus., 95 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Geographic information systems. -
Online resource:	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:

554796
Geographic information systems.

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

Dewey Class. No.: 910.285

Geospatial Data Analytics and Urban Applications
LDR:02930nam a22004095i 4500 001 1092273
003 DE-He213
005 20220429025450.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811676499 $9 978-981-16-7649-9
024 7 $a 10.1007/978-981-16-7649-9 $2 doi
035 $a 978-981-16-7649-9
050 4 $a G70.212-.217
072 7 $a RGW $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a RGW $2 thema
082 0 4 $a 910.285 $2 23
245 1 0 $a Geospatial Data Analytics and Urban Applications $h [electronic resource] / $c edited by Sandeep Narayan Kundu.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XVIII, 187 p. 106 illus., 95 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in 21st Century Human Settlements, $x 2198-2554
505 0 $a 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.
520 $a 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.
650 0 $a Geographic information systems. $3 554796
650 0 $a Quantitative research. $3 635913
650 0 $a System theory. $3 566168
650 0 $a Public health. $3 560998
650 0 $a Urban economics. $3 568283
650 1 4 $a Geographical Information System. $3 1365742
650 2 4 $a Data Analysis and Big Data. $3 1366136
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Public Health. $3 592982
650 2 4 $a Urban Economics. $3 1102857
700 1 $a Kundu, Sandeep Narayan. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1400008
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811676482
776 0 8 $i Printed edition: $z 9789811676505
776 0 8 $i Printed edition: $z 9789811676512
830 0 $a Advances in 21st Century Human Settlements, $x 2198-2546 $3 1256085
856 4 0 $u https://doi.org/10.1007/978-981-16-7649-9
912 $a ZDB-2-EES
912 $a ZDB-2-SXEE
950 $a Earth and Environmental Science (SpringerNature-11646)
950 $a Earth and Environmental Science (R0) (SpringerNature-43711)