東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Spatial analysis using big data = me...

Seya, Hajime,

FindBook

Google Book

Amazon

博客來

Spatial analysis using big data = methods and urban applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatial analysis using big data/ edited by Yoshiki Yamagata, Hajime Seya.
其他題名:	methods and urban applications /
其他作者:	Seya, Hajime,
出版者:	London ;Academic Press, : 2020.,
面頁冊數:	1 online resource (xvii, 284 p.)
標題:	Spatial analysis (Statistics) - Data processing. -
電子資源:	https://www.sciencedirect.com/science/book/9780128131275
ISBN:	9780128131329 (electronic bk.)

Spatial analysis using big data = methods and urban applications /
Spatial analysis using big datamethods and urban applications /[electronic resource] :edited by Yoshiki Yamagata, Hajime Seya. - London ;Academic Press,2020. - 1 online resource (xvii, 284 p.) - Spatial econometrics and spatial statistics.

Includes bibliographical references and index.

Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.

ISBN: 9780128131329 (electronic bk.)Subjects--Topical Terms:

908376
Spatial analysis (Statistics)
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HA30.6 / .S63 2020

Dewey Class. No.: 307.760285/57

Spatial analysis using big data = methods and urban applications /
LDR:01865cmm a2200265 a 4500 001 2246419
006 m o d
007 cr cnu---unuuu
008 211224s2020 enka ob 001 0 eng d
020 $a 9780128131329 (electronic bk.)
020 $a 0128131322 (electronic bk.)
020 $a 9780128131275 (pbk.)
020 $a 0128131276
035 $a on1129888898
040 $a UKMGB $b eng $e pn $c UKMGB $d OCLCO $d N$T $d UKAHL $d N$T $d YDXIT $d OCLCF $d OPELS $d YDX
041 0 $a eng
050 4 $a HA30.6 $b .S63 2020
082 0 4 $a 307.760285/57 $2 23
245 0 0 $a Spatial analysis using big data $h [electronic resource] : $b methods and urban applications / $c edited by Yoshiki Yamagata, Hajime Seya.
260 $a London ; $a San Diego, CA : $b Academic Press, $c 2020.
300 $a 1 online resource (xvii, 284 p.)
490 0 $a Spatial econometrics and spatial statistics
504 $a Includes bibliographical references and index.
520 $a Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.
588 $a Description based on online resource; title from digital title page (viewed on December 30, 2019).
650 0 $a Spatial analysis (Statistics) $x Data processing. $3 908376
650 0 $a Urban geography $x Data processing. $3 616318
650 0 $a Big data. $3 2045508
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Seya, Hajime, $e editor. $3 3509787
700 1 $a Yamagata, Yoshiki, $e editor. $3 3509786
856 4 0 $u https://www.sciencedirect.com/science/book/9780128131275