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 : = ...

Yamagata, Yoshiki.

FindBook

Google Book

Amazon

博客來

Spatial analysis using big data : = methods and urban applications /

紀錄類型:	書目-語言資料,印刷品 : 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:	Yamagata, Yoshiki.
出版者:	London, UK ;Academic Press, : c2020.,
面頁冊數:	xvii, 284 p. :ill. (some col.) ;23 cm.
標題:	Spatial analysis (Statistics) - Data processing. -
ISBN:	9780128131275

Spatial analysis using big data : = methods and urban applications /
Spatial analysis using big data :methods and urban applications /edited by Yoshiki Yamagata, Hajime Seya. - London, UK ;Academic Press,c2020. - xvii, 284 p. :ill. (some col.) ;23 cm. - Spatial econometrics and spatial statistics.

Includes bibliographical references and index.

Introduction /Yoshiki Yamagata and Hajime Seya --

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: 9780128131275USD150.00

LCCN: 2019955543Subjects--Topical Terms:

908376
Spatial analysis (Statistics)
--Data processing.

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

Dewey Class. No.: 307.760285/57

Spatial analysis using big data : = methods and urban applications /
LDR:02467nam a2200205 a 4500 001 2195746
008 200708s2019 enka b 001 0 eng
010 $a 2019955543
020 $a 9780128131275 $q (pbk.) : $c USD150.00
020 $a 0128131276 $q (pbk.)
040 $a DLC $b eng $e aacr2 $c DLC
042 $a pcc
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 : $b methods and urban applications / $c edited by Yoshiki Yamagata, Hajime Seya.
260 # $a London, UK ; $a San Diego, CA : $b Academic Press, $c c2020.
300 $a xvii, 284 p. : $b ill. (some col.) ; $c 23 cm.
490 1 $a Spatial econometrics and spatial statistics
504 $a Includes bibliographical references and index.
505 0 0 $t Introduction / $r Yoshiki Yamagata and Hajime Seya -- $t Mathematical preparation / $r Hajime Seya and Yoshiki Yamagata -- $t Global and local indicators of spatial associations / $r Hajime Seya -- $t Geostatistics and Gaussian process models / $r Daisuke Murakami, Yoshiki Yamagata, and Toshihiro Hirano -- $t Spatial econometric models / $r Hajime Seya, Takahiro Yoshida, and Yashiki Yamagata -- $t Models in quantitative geography / $r Daisuke Murakami and Yoshiki Yamagata -- $t Implementation in R languages / $r Takahiro Yoshida and Daisuke Murakami -- $t Spaital heat-wave assessments using geotagged Twitter data / $r Daisuke Murakami and Yoshiki Yamagata -- $t Evaluating walkability using mobile GPS data / $r Yoshiki Yamagata, Daisuke Murakami, and Takahiro Yoshida -- $t Spatial scenario creation based on downscale methods / $r Daisuke Murakami and Yoshiki Yamagata -- $t Quasi realt-time energy use estimation using Google's Popular Times data / $r Takahiro Yoshida and Yoshiki Yamagata.
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.
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
700 1 # $a Yamagata, Yoshiki. $3 2210022
700 1 # $a Seya, Hajime. $3 3426118