期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2018
卷号：8
期号：4
页码：2456-2467
DOI：10.11591/ijece.v8i4.pp2456-2467
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Path analysis is a method used to analyze the relationship betweenindependent and dependent variables to identify direct and indirectrelationship between them. This method is developed by Sewal Wrightand initially only uses correlation analysis results in identifyingthe variables' relationship. Path analysis method currently is mostlyused to deal with variables with non-spatial data type. When analyzingvariables that have elements of spatial dependency, path analysiscould result in a less precise model. Therefore, it is necessary tobuild a path analysis model that is able to identify and take intoaccount the effects of spatial dependencies. Spatial autocorrelationand spatial regression methods can be used to develop path analysismethod so as to identify the effects of spatial dependencies. Thispaper proposes a method in the form of path analysis methoddevelopment to process data that have spatial elements. This studyalso discusses our effort on establishing a method that could be usedto identify and analyze the spatial effect on data in the framework ofpath analysis; we call this method spatial path analysis.
关键词：Computer and Informatics;Path-analysis method Spatial data Soft Computing and Modelling
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