Principles and methods of scaling geospatial Earth science data

doi:10.1016/j.earscirev.2019.102897

	Principles and methods of scaling geospatial Earth science data
	Ge, Yong 5,6; Jin, Yan 7,8; Stein, Alfred 9; Chen, Yuehong 1; Wang, Jianghao 5; Wang, Jinfeng 5; Cheng, Qiuming 2; Bai, Hexiang 4; Liu, Mengxiao 5,6; Atkinson, Peter M.3
刊名	EARTH-SCIENCE REVIEWS
	2019-10-01
卷号	197 页码:17
关键词	Scaling Change-of-support Autocorrelation Heterogeneity
ISSN号	0012-8252
DOI	10.1016/j.earscirev.2019.102897
通讯作者	Ge, Yong(gey@lreis.ac.cn)
英文摘要	The properties of geographical phenomena vary with changes in the scale of measurement. The information observed at one scale often cannot be directly used as information at another scale. Scaling addresses these changes in properties in relation to the scale of measurement, and plays an important role in Earth sciences by providing information at the scale of interest, which may be required for a range of applications, and may be useful for inferring geographical patterns and processes. This paper presents a review of geospatial scaling methods for Earth science data. Based on spatial properties, we propose a methodological framework for scaling addressing upscaling, downscaling and side-scaling. This framework combines scale-independent and scale-dependent properties of geographical variables. It allows treatment of the varying spatial heterogeneity of geographical phenomena, combines spatial autocorrelation and heterogeneity, addresses scale-independent and scale-dependent factors, explores changes in information, incorporates geospatial Earth surface processes and uncertainties, and identifies the optimal scale(s) of models. This study shows that the classification of scaling methods according to various heterogeneities has great potential utility as an underpinning conceptual basis for advances in many Earth science research domains.
资助项目	National Natural Science Foundation for Distinguished Young Scholars of China[41725006] ; National Natural Science Foundation of China[41531174] ; National Natural Science Foundation of China[41531179]
WOS关键词	HOPFIELD NEURAL-NETWORK ; REMOTELY-SENSED IMAGERY ; LAND DATA ASSIMILATION ; PIXEL MAPPING METHOD ; MARKOV RANDOM-FIELD ; SOIL-MOISTURE ; CLIMATE-CHANGE ; GEOSTATISTICAL APPROACH ; DOWNSCALING METHOD ; HYDRAULIC CONDUCTIVITY
WOS研究方向	Geology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000497253500004
资助机构	National Natural Science Foundation for Distinguished Young Scholars of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/130319]
专题	中国科学院地理科学与资源研究所
通讯作者	Ge, Yong
作者单位	1.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China 2.China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Beijing 100083, Peoples R China 3.Univ Lancaster, Lancaster Environm Ctr, Fac Sci & Technol, Lancaster LA1 4YR, England 4.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan 030006, Shanxi, Peoples R China 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210023, Jiangsu, Peoples R China 8.Smart Hlth Big Data Anal & Locat Serv Engn Lab Ji, Nanjing 210023, Jiangsu, Peoples R China 9.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
推荐引用方式 GB/T 7714	Ge, Yong,Jin, Yan,Stein, Alfred,et al. Principles and methods of scaling geospatial Earth science data[J]. EARTH-SCIENCE REVIEWS,2019,197:17.
APA	Ge, Yong.,Jin, Yan.,Stein, Alfred.,Chen, Yuehong.,Wang, Jianghao.,...&Atkinson, Peter M..(2019).Principles and methods of scaling geospatial Earth science data.EARTH-SCIENCE REVIEWS,197,17.
MLA	Ge, Yong,et al."Principles and methods of scaling geospatial Earth science data".EARTH-SCIENCE REVIEWS 197(2019):17.