Spatial analysis using big data (Record no. 561151)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01819 a2200229 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200127131942.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200127b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780128131275 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | IIT Kanpur |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 307.76028557 |
| Item number | Sp28 |
| 245 ## - TITLE STATEMENT | |
| Title | Spatial analysis using big data |
| Remainder of title | methods and urban applications |
| Statement of responsibility, etc | edited by Yoshiki Yamagata and Hajime Seya |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Academic Press |
| Year of publication | 2020 |
| Place of publication | London |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvii, 284p |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Spatial econometrics and spatial statistics |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science Provides computer codes written in R, MATLAB and Python to help implement methods Applies these methods to common problems observed in urban and regional economics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Spatial analysis (Statistics) -- Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Urban geography -- Data processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yamagata, Yoshiki [ed.] |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Seya. Hajime [ed.] |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| General Stacks | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 2020-02-03 | 2 | 8533.20 | 307.76028557 Sp28 | A185190 | 10666.50 | Books |