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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)


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Baptista Ramos Naizer, Claudia Cristina [1] ; Rodrigues, David Souza [1] ; Pedreira Junior, Jorge Ubirajara [1] ; Pitombo, Cira Souza [1]
Total Authors: 4
[1] Univ Sao Paulo, Escola Engn Sao Carlos, Dept Engn Transportes, Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Bol. Ciênc. Geod.; v. 25, n. 4 2019.
Web of Science Citations: 0

Among the exploratory spatial data analysis tools, there are indicators of spatial association, which measure the degree of spatial dependence of analysed data and can be applied to quantitative data. Another procedure available is geostatistics, which is based on the variogram, describing quantitatively and qualitatively the spatial structure of a variable. The aim of this paper is to use the concept of the variogram to develop a global indicator of spatial association (Global Spatial Indicator Based on Variogram - G-SIVAR). The G-SIVAR indicator has a satisfactory performance for spatial association, with sensibility for anisotropy cases. Because the indicator is based on geostatistics, it is appropriate for quantitative and qualitative data. The developed indicator is derived from theoretical global variogram, providing more details of the spatial structure of the data. The G-SIVAR indicator is based on spatial dissimilarity, while traditional indexes, such as Moran's I, are based on spatial similarity. (AU)

FAPESP's process: 16/07563-9 - Proposal of autologistic models for travel mode choice issues: an approach using geostatistics concepts
Grantee:Cira Souza Pitombo
Support type: Scholarships abroad - Research
FAPESP's process: 18/08755-4 - Improvement and automation for obtaining spatial association indicators based on geostatistics concepts
Grantee:David Souza Rodrigues
Support type: Scholarships in Brazil - Scientific Initiation