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Significance Assessment in the Application of Spatial Analytics

Murray, Alan T.

Annals of the American Association of Geographers, 2021-09, Vol.111 (6), p.1740-1755 [Periódico revisado por pares]

Washington: Routledge

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Título:
Significance Assessment in the Application of Spatial Analytics
Autor: Murray, Alan T.
Assuntos: analítica espacial ; cambio del uso y cobertura de la tierra ; Decision making ; Enumeration ; Evaluation ; Extrapolation ; Geography ; GIScience ; Inference ; land use land-cover change ; Mathematical analysis ; Meaning ; Methods ; métodos cuantitativos ; Policy making ; quantitative methods ; Sampling ; SIGciencia ; spatial analytics ; spatial optimization ; 土地利用和土地覆盖变化 ; 地理信息科学 ; 定量方法 ; 空间优化 ; 空间分析
É parte de: Annals of the American Association of Geographers, 2021-09, Vol.111 (6), p.1740-1755
Descrição: The breadth of spatial analytics relied on in geography is remarkable. These methods are used to gain insight, typically in the context of planning, management, decision making, and policymaking. The challenge is invariably establishing meaning in obtained findings, providing insights and knowledge. This is done, however, in very different ways depending on the spatial analytic approach, with statistical notions of significance a prevailing tool in assessment. This article reviews significance assessment approaches in the application of spatial analytics. Noteworthy in this review is that many approaches can be considered through the lens of sampling. In some cases, the underlying sample is a few or as small as one. There are methods, however, that are based on sampling that is comprehensive, involving an implicit or explicit enumeration of all possible outcomes. This suggests that significance assessment using certain methods accounts for the entire range of possibilities, whereas other methods draw inference from scant sampling. In addition to the sampling perspective, extrapolation as well as indirect accuracy and anecdotal measures of assessment are not uncommon. The comparative review of spatial analytic methods suggests that significance is assessed in many different ways, making meaning interpretation challenging.
Editor: Washington: Routledge
Idioma: Inglês

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Significance Assessment in the Application of Spatial Analytics

Murray, Alan T.

Washington: Routledge

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