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Development of a Spatial Path-Analysis Method for Spatial Data Analysis

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 4 (2018)

DOI
10.11591/ijece.v8i4.pp2456-2467
ISSN
2088-8708, 2088-8708
Published
2018-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Path analysis is a method used to analyze the relationship between independent and dependent variables to identify direct and indirect relationship between them. This method is developed by Sewal Wright and initially only uses correlation analysis results in identifying the variables' relationship. Path analysis method currently is mostly used to deal with variables with non-spatial data type. When analyzing variables that have elements of spatial dependency, path analysis could result in a less precise model. Therefore, it is necessary to build a path analysis model that is able to identify and take into account the effects of spatial dependencies. Spatial autocorrelation and spatial regression methods can be used to develop path analysis method so as to identify the effects of spatial dependencies. This paper proposes a method in the form of path analysis method development to process data that have spatial elements. This study also discusses our effort on establishing a method that could be used to identify and analyze the spatial effect on data in the framework of path analysis; we call this method spatial path analysis.

Collaboration network of the authors

32 authors · 43 co-authorship links · 11 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • Udayana University
  • Satya Wacana Christian University
  • Multimedia Nusantara University
  • Institut Bisnis dan Teknologi Indonesia
  • Sunan Kalijaga State Islamic University Yogyakarta
  • State University of Medan
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Seng HansunMultimedia Nusantara University1
Elena YustinaUniversitas Gadjah Mada1
Gede Saindra SantyadiAffiliation unknown1
Desak Made Dwi Utami PutraInstitut Bisnis dan Teknologi Indonesia1
Sylvia Jane Annatje SumarauwAffiliation unknown1
Shofwatul UyunSunan Kalijaga State Islamic University Yogyakarta1
Anindita SuryarasmiUniversitas Gadjah Mada1
I Wayan SuprianaUdayana University1
Siska Dewi LestariAffiliation unknown1
Zulfahmi IndraState University of Medan1
Ika Oktavia SuzantiUniversitas Gadjah Mada1
La SurimiUniversitas Halu Oleo1
Agus HalidUniversitas Gadjah Mada1
Yoga Dwitya PramuditaUniversitas Gadjah Mada1
I Nym Saputra Wahyu WijayaAffiliation unknown1
Rachmat Wahid Saleh InsaniUniversitas Gadjah Mada1
Afiahayati AfiahayatiUniversitas Gadjah Mada1
Muhammad IhsanAffiliation unknown1
Muhammad Asghar NazalUniversitas Gadjah Mada1
Mardhani RiasetiawanUniversitas Gadjah Mada1
Ni Made Ary Esta Dewi WirastutiUdayana University1
I Dewa Made Bayu Atmaja DarmawanUdayana University1
LinawatiAffiliation unknown1
Gede SukadarmikaUdayana University1
Retantyo WardoyoUniversitas Gadjah Mada1
Sri T. HartatiUniversitas Gadjah Mada1
Azhari AzhariUniversitas Gadjah Mada1
Laufi Dian Deodo SaputraSatya Wacana Christian University1
Abas SetiawanUniversitas Gadjah Mada1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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