Spatial scenario creation based on downscale methods

Daisuke Murakami; Yoshiki Yamagata

doi:10.1016/B978-0-12-813127-5.00010-2

Spatial scenario creation based on downscale methods

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter introduces a spatial econometric model application to a downscaling of global socioeconometric scenarios. Section 10.1 provides a brief review of relevant literature. Section 10.2 describes our downscale approach and Section 10.3 employs it to estimate populations and GDPs by 0.5-degree grids. Finally, Section 10.4 concludes our discussion.

Original language	English
Title of host publication	Spatial Analysis Using Big Data
Subtitle of host publication	Methods and Urban Applications
Publisher	Elsevier
Pages	259-270
Number of pages	12
ISBN (Electronic)	9780128131329
ISBN (Print)	9780128131275
DOIs	https://doi.org/10.1016/B978-0-12-813127-5.00010-2
Publication status	Published - 2019 Nov 2
Externally published	Yes

Keywords

City growth
Downscale
Socioeconomic scenarios
Spatial econometrics

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
Business, Management and Accounting(all)

Access to Document

10.1016/B978-0-12-813127-5.00010-2

Cite this

@inbook{007b51a255474ef8b602c991898fdf5f,

title = "Spatial scenario creation based on downscale methods",

abstract = "This chapter introduces a spatial econometric model application to a downscaling of global socioeconometric scenarios. Section 10.1 provides a brief review of relevant literature. Section 10.2 describes our downscale approach and Section 10.3 employs it to estimate populations and GDPs by 0.5-degree grids. Finally, Section 10.4 concludes our discussion.",

keywords = "City growth, Downscale, Socioeconomic scenarios, Spatial econometrics",

author = "Daisuke Murakami and Yoshiki Yamagata",

year = "2019",

month = nov,

day = "2",

doi = "10.1016/B978-0-12-813127-5.00010-2",

language = "English",

isbn = "9780128131275",

pages = "259--270",

booktitle = "Spatial Analysis Using Big Data",

publisher = "Elsevier",

}

TY - CHAP

T1 - Spatial scenario creation based on downscale methods

AU - Murakami, Daisuke

AU - Yamagata, Yoshiki

PY - 2019/11/2

Y1 - 2019/11/2

N2 - This chapter introduces a spatial econometric model application to a downscaling of global socioeconometric scenarios. Section 10.1 provides a brief review of relevant literature. Section 10.2 describes our downscale approach and Section 10.3 employs it to estimate populations and GDPs by 0.5-degree grids. Finally, Section 10.4 concludes our discussion.

AB - This chapter introduces a spatial econometric model application to a downscaling of global socioeconometric scenarios. Section 10.1 provides a brief review of relevant literature. Section 10.2 describes our downscale approach and Section 10.3 employs it to estimate populations and GDPs by 0.5-degree grids. Finally, Section 10.4 concludes our discussion.

KW - City growth

KW - Downscale

KW - Socioeconomic scenarios

KW - Spatial econometrics

UR - http://www.scopus.com/inward/record.url?scp=85094106956&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85094106956&partnerID=8YFLogxK

U2 - 10.1016/B978-0-12-813127-5.00010-2

DO - 10.1016/B978-0-12-813127-5.00010-2

M3 - Chapter

AN - SCOPUS:85094106956

SN - 9780128131275

SP - 259

EP - 270

BT - Spatial Analysis Using Big Data

PB - Elsevier

ER -

Spatial scenario creation based on downscale methods

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this