Design-based spatial sampling: Theory and implementation

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Design-based spatial sampling: Theory and implementation
	Wang, Jin-Feng 1; Jiang, Cheng-Sheng 1; Hu, Mao-Gui 1; Cao, Zhi-Dong1,2 ; Guo, Yan-Sha 1; Li, Lian-Fa 1; Liu, Tie-Jun 1; Meng, Bin 1
发表期刊	ENVIRONMENTAL MODELLING & SOFTWARE
	2013-02-01
卷号	40 页码:280-288
文章类型	Article
摘要	Various sampling techniques are widely used in environmental, social and resource surveys. Spatial sampling techniques are more efficient than conventional sampling when surveying spatially distributed targets such as CO2 emissions, soil pollution, a population distribution, disaster distribution, and disease incidence, where spatial autocorrelation and heterogeneity are prevalent. However, despite decades of development in theory and practice, there are few computer programs for spatial sampling. We investigated the three-fold relationship between targets, sampling strategies and statistical methods in spatial contexture. Accordingly, the information flow of the spatial sampling process was reconstructed and optimized. SSSampling, a computer program for design-based spatial sampling, has been developed from the theoretical basis. Three typical applications of the software, namely sampling design, optimal statistical inference and precision assessment, are demonstrated as case studies. (C) 2012 Elsevier Ltd. All rights reserved.
关键词	Spatial Sampling Sampling Trinity Relationship Prior Knowledge Design-based Sampling
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
关键词[WOS]	OPTIMIZATION ; RESOURCES ; SCHEMES ; ERROR ; MODEL ; FIELD ; LAND ; GIS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:000314074000024
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10750
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jin-Feng,Jiang, Cheng-Sheng,Hu, Mao-Gui,et al. Design-based spatial sampling: Theory and implementation[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2013,40:280-288.
APA	Wang, Jin-Feng.,Jiang, Cheng-Sheng.,Hu, Mao-Gui.,Cao, Zhi-Dong.,Guo, Yan-Sha.,...&Meng, Bin.(2013).Design-based spatial sampling: Theory and implementation.ENVIRONMENTAL MODELLING & SOFTWARE,40,280-288.
MLA	Wang, Jin-Feng,et al."Design-based spatial sampling: Theory and implementation".ENVIRONMENTAL MODELLING & SOFTWARE 40(2013):280-288.