全球智库信息集成服务系统(G2TT): Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.rse.2018.04.014
	Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover.
	Stehman SV; Fonte CC; Foody GM; See L
发表日期	2018
出处	Remote Sensing of Environment 212: 47-59
出版年	2018
语种	英语
摘要	Volunteered Geographic Information (VGI) offers a potentially inexpensive source of reference data for estimating area and assessing map accuracy in the context of remote-sensing based land-cover monitoring. The quality of observations from VGI and the typical lack of an underlying probability sampling design raise concerns regarding use of VGI in widely-applied design-based statistical inference. This article focuses on the fundamental issue of sampling design used to acquire VGI. Design-based inference requires the sample data to be obtained via a probability sampling design. Options for incorporating VGI within design-based inference include: 1) directing volunteers to obtain data for locations selected by a probability sampling design; 2) treating VGI data as a “certainty stratum” and augmenting the VGI with data obtained from a probability sample; and 3) using VGI to create an auxiliary variable that is then used in a model-assisted estimator to reduce the standard error of an estimate produced from a probability sample. The latter two options can be implemented using VGI data that were obtained from a non-probability sampling design, but require additional sample data to be acquired via a probability sampling design. If the only data available are VGI obtained from a non-probability sample, properties of design-based inference that are ensured by probability sampling must be replaced by assumptions that may be difficult to verify. For example, pseudo-estimation weights can be constructed that mimic weights used in stratified sampling estimators. However, accuracy and area estimates produced using these pseudo-weights still require the VGI data to be representative of the full population, a property known as “external validity”. Because design-based inference requires a probability sampling design, directing volunteers to locations specified by a probability sampling design is the most straightforward option for use of VGI in design-based inference. Combining VGI from a non-probability sample with data from a probability sample using the certainty stratum approach or the model-assisted approach are viable alternatives that meet the conditions required for design-based inference and use the VGI data to advantage to reduce standard errors.
主题	Ecosystems Services and Management (ESM)
关键词	Probability sampling External validity Pseudo-weights Data quality Model-based inference Volunteered geographic information (VGI) Crowdsourcing
URL	http://pure.iiasa.ac.at/id/eprint/15247/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131479
推荐引用方式 GB/T 7714	Stehman SV,Fonte CC,Foody GM,et al. Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover.. 2018.