Geospatial data analytics and urban applications:
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 f...
Gespeichert in:
Weitere Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer
[2022]
|
Schriftenreihe: | Advances in 21st century human settlements
|
Schlagworte: | |
Zusammenfassung: | 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 |
Beschreibung: | 1. Geospatial Big Data and Urban Applications; 2. Spatial Proximity to Amenities and Home search; 3. Spatial patterns of Air Quality and Urban Heat Island effects during COVID-19; 4. Population Dynamics during Pandemic Lockdown and beyond; 5. Geospatially reasoning the shooting incidents of New York City; 6. Activity Patterns from Twitter Data - A Singapore Case Study; 7. Spatio-temporal analysis of Tourist Source Market Emissiveness in Shanghai; 8. A Spatial Perspective on Crime patterns in Chicago; 9. Private-hire cars distribution in space and time - A study on Grab Cars |
Beschreibung: | xviii, 187 Seiten Illustrationen, Diagramme, Karten |
ISBN: | 9789811676482 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV047670280 | ||
003 | DE-604 | ||
005 | 20220318 | ||
007 | t | ||
008 | 220113s2022 a||| |||| 00||| eng d | ||
020 | |a 9789811676482 |c hbk |9 978-981-16-7648-2 | ||
035 | |a (OCoLC)1298749463 | ||
035 | |a (DE-599)BVBBV047670280 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-29T |a DE-12 | ||
245 | 1 | 0 | |a Geospatial data analytics and urban applications |c Sandeep Narayan Kundu, editor |
264 | 1 | |a Singapore |b Springer |c [2022] | |
300 | |a xviii, 187 Seiten |b Illustrationen, Diagramme, Karten | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Advances in 21st century human settlements | |
500 | |a 1. Geospatial Big Data and Urban Applications; 2. Spatial Proximity to Amenities and Home search; 3. Spatial patterns of Air Quality and Urban Heat Island effects during COVID-19; 4. Population Dynamics during Pandemic Lockdown and beyond; 5. Geospatially reasoning the shooting incidents of New York City; 6. Activity Patterns from Twitter Data - A Singapore Case Study; 7. Spatio-temporal analysis of Tourist Source Market Emissiveness in Shanghai; 8. A Spatial Perspective on Crime patterns in Chicago; 9. Private-hire cars distribution in space and time - A study on Grab Cars | ||
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 | 4 | |a Application software | |
650 | 4 | |a Geography | |
650 | 4 | |a Statistics | |
650 | 4 | |a Statistical physics | |
650 | 4 | |a Dynamical systems | |
650 | 4 | |a Public health | |
650 | 4 | |a Urban economics | |
650 | 4 | |a Computer science | |
650 | 0 | 7 | |a Raumdaten |0 (DE-588)4206012-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
653 | |a Hardcover, Softcover / Informatik, EDV/Anwendungs-Software | ||
655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
689 | 0 | 0 | |a Raumdaten |0 (DE-588)4206012-6 |D s |
689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Kundu, Sandeep Narayan |d 1974- |0 (DE-588)1200439848 |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, ebk. |z 978-981-16-7649-9 |
999 | |a oai:aleph.bib-bvb.de:BVB01-033054944 |
Datensatz im Suchindex
_version_ | 1804183149268172800 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Kundu, Sandeep Narayan 1974- |
author2_role | edt |
author2_variant | s n k sn snk |
author_GND | (DE-588)1200439848 |
author_facet | Kundu, Sandeep Narayan 1974- |
building | Verbundindex |
bvnumber | BV047670280 |
ctrlnum | (OCoLC)1298749463 (DE-599)BVBBV047670280 |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03022nam a2200481 c 4500</leader><controlfield tag="001">BV047670280</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220318 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">220113s2022 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811676482</subfield><subfield code="c">hbk</subfield><subfield code="9">978-981-16-7648-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1298749463</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047670280</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield><subfield code="a">DE-12</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geospatial data analytics and urban applications</subfield><subfield code="c">Sandeep Narayan Kundu, editor</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">Springer</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xviii, 187 Seiten</subfield><subfield code="b">Illustrationen, Diagramme, Karten</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advances in 21st century human settlements</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">1. Geospatial Big Data and Urban Applications; 2. Spatial Proximity to Amenities and Home search; 3. Spatial patterns of Air Quality and Urban Heat Island effects during COVID-19; 4. Population Dynamics during Pandemic Lockdown and beyond; 5. Geospatially reasoning the shooting incidents of New York City; 6. Activity Patterns from Twitter Data - A Singapore Case Study; 7. Spatio-temporal analysis of Tourist Source Market Emissiveness in Shanghai; 8. A Spatial Perspective on Crime patterns in Chicago; 9. Private-hire cars distribution in space and time - A study on Grab Cars</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geography</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Public health</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Urban economics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Raumdaten</subfield><subfield code="0">(DE-588)4206012-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Hardcover, Softcover / Informatik, EDV/Anwendungs-Software</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Raumdaten</subfield><subfield code="0">(DE-588)4206012-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kundu, Sandeep Narayan</subfield><subfield code="d">1974-</subfield><subfield code="0">(DE-588)1200439848</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, ebk.</subfield><subfield code="z">978-981-16-7649-9</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033054944</subfield></datafield></record></collection> |
genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV047670280 |
illustrated | Illustrated |
index_date | 2024-07-03T18:55:09Z |
indexdate | 2024-07-10T09:18:51Z |
institution | BVB |
isbn | 9789811676482 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033054944 |
oclc_num | 1298749463 |
open_access_boolean | |
owner | DE-29T DE-12 |
owner_facet | DE-29T DE-12 |
physical | xviii, 187 Seiten Illustrationen, Diagramme, Karten |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | Springer |
record_format | marc |
series2 | Advances in 21st century human settlements |
spelling | Geospatial data analytics and urban applications Sandeep Narayan Kundu, editor Singapore Springer [2022] xviii, 187 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Advances in 21st century human settlements 1. Geospatial Big Data and Urban Applications; 2. Spatial Proximity to Amenities and Home search; 3. Spatial patterns of Air Quality and Urban Heat Island effects during COVID-19; 4. Population Dynamics during Pandemic Lockdown and beyond; 5. Geospatially reasoning the shooting incidents of New York City; 6. Activity Patterns from Twitter Data - A Singapore Case Study; 7. Spatio-temporal analysis of Tourist Source Market Emissiveness in Shanghai; 8. A Spatial Perspective on Crime patterns in Chicago; 9. Private-hire cars distribution in space and time - A study on Grab Cars 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 Application software Geography Statistics Statistical physics Dynamical systems Public health Urban economics Computer science Raumdaten (DE-588)4206012-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Hardcover, Softcover / Informatik, EDV/Anwendungs-Software (DE-588)4143413-4 Aufsatzsammlung gnd-content Raumdaten (DE-588)4206012-6 s Datenanalyse (DE-588)4123037-1 s DE-604 Kundu, Sandeep Narayan 1974- (DE-588)1200439848 edt Erscheint auch als Online-Ausgabe, ebk. 978-981-16-7649-9 |
spellingShingle | Geospatial data analytics and urban applications Application software Geography Statistics Statistical physics Dynamical systems Public health Urban economics Computer science Raumdaten (DE-588)4206012-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4206012-6 (DE-588)4123037-1 (DE-588)4143413-4 |
title | Geospatial data analytics and urban applications |
title_auth | Geospatial data analytics and urban applications |
title_exact_search | Geospatial data analytics and urban applications |
title_exact_search_txtP | Geospatial data analytics and urban applications |
title_full | Geospatial data analytics and urban applications Sandeep Narayan Kundu, editor |
title_fullStr | Geospatial data analytics and urban applications Sandeep Narayan Kundu, editor |
title_full_unstemmed | Geospatial data analytics and urban applications Sandeep Narayan Kundu, editor |
title_short | Geospatial data analytics and urban applications |
title_sort | geospatial data analytics and urban applications |
topic | Application software Geography Statistics Statistical physics Dynamical systems Public health Urban economics Computer science Raumdaten (DE-588)4206012-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | Application software Geography Statistics Statistical physics Dynamical systems Public health Urban economics Computer science Raumdaten Datenanalyse Aufsatzsammlung |
work_keys_str_mv | AT kundusandeepnarayan geospatialdataanalyticsandurbanapplications |