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Journal articles on the topic 'Spatial analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Wiwin, Sulistyo, Sulistyo Wiwin, and Pulungan Reza. "Development of a Spatial Path-Analysis Method for Spatial Data Analysis." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 4 (2018): 2456–67. https://doi.org/10.11591/ijece.v8i4.pp2456-2467.

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Path analysis is a method for identifying and analyzing direct and indirect relationship between independent and dependent variables. This method was developed by Sewal Wright and initially only used correlation analysis results in identifying the variables’ relationship. So far, path analysis has been mostly used to deal with variables of 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 e

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2

Sapaty, P. S. "Holistic spatial analysis of distributed worlds." Mathematical machines and systems 2 (2022): 3–18. http://dx.doi.org/10.34121/1028-9763-2022-2-3-18.

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The paper investigates extended applications of the developed spatial grasp model and technology for analyzing large distributed systems and environments, as well as some examples of solving typical problems in them in the Spatial Grasp Language (SGL). The Spatial Grasp (SG) paradigm allows solving complex problems in a holistic and fully distributed way. It develops in distributed spaces as active ubiquitous waves or even viruses and grasps solutions to spatial problems in parallel pattern-matching mode, fundamentally differing from traditional representations of systems and their solutions a

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3

Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 79–94. http://dx.doi.org/10.21009/spatial.222.01.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3

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4

Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 91–106. http://dx.doi.org/10.21009/spatial.222.001.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3

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5

Sharma, Vikash, Mohit Kumar, Mona Yadav, and Vikas Sihag. "Spatial Analysis of Camel Distribution in Haryana." International Journal of Scientific Engineering and Research 3, no. 11 (2015): 5–8. https://doi.org/10.70729/ijser15558.

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6

Sharma, Vikash, Mona Yadav, Vikas Sihag, and Mohit Kumar. "Spatial Analysis of Goat Distribution in Haryana." International Journal of Scientific Engineering and Research 3, no. 11 (2015): 1–4. https://doi.org/10.70729/ijser15556.

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7

Unwin, David J. "GIS, spatial analysis and spatial statistics." Progress in Human Geography 20, no. 4 (1996): 540–51. http://dx.doi.org/10.1177/030913259602000408.

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8

Liu, Yupeng, Wei-Qiang Chen, Tao Lin, and Lijie Gao. "How Spatial Analysis Can Help Enhance Material Stocks and Flows Analysis?" Resources 8, no. 1 (2019): 46. http://dx.doi.org/10.3390/resources8010046.

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Spatial information can be integrated into almost all fields of industrial ecology. Many researchers have shown that spatial proximity affects a variety of behaviors and interactions, and thus matters for materials stocks and flows analysis. However, normal tools or models in industrial ecology based on temporal dependence cannot be simply applied to the case of spatial dependence. This paper proposes a framework integrating material stocks and flows analysis with spatial analysis. We argue that spatial analysis can help data management and visualization, determine spatio-temporal patterns-pro

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9

Zhou, Qiming, and Jianfeng Li. "Geo-Spatial Analysis in Hydrology." ISPRS International Journal of Geo-Information 9, no. 7 (2020): 435. http://dx.doi.org/10.3390/ijgi9070435.

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With the increasing demand for accurate and reliable hydrological information, geo-spatial analysis plays a more and more important role in hydrological studies. The development of the geo-spatial technique advances our understanding of the complex and spatially heterogeneous hydrological systems. Meanwhile, how to efficiently and effectively process and analyze multi-source geo-spatial data has become more challenging in the fields of hydrology. In this editorial, we first review the development and application of geo-spatial analysis in three major topics in hydrological studies, namely the

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10

Banerjee, Sudipto. "Spatial Data Analysis." Annual Review of Public Health 37, no. 1 (2016): 47–60. http://dx.doi.org/10.1146/annurev-publhealth-032315-021711.

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11

Tobler, Waldo. "Global spatial analysis." Computers, Environment and Urban Systems 26, no. 6 (2002): 493–500. http://dx.doi.org/10.1016/s0198-9715(02)00017-0.

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12

Merriam, D. F. "Introductory spatial analysis." Computers & Geosciences 12, no. 6 (1986): 819. http://dx.doi.org/10.1016/0098-3004(86)90032-4.

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13

Cabrera, Carmen. "Spatial network analysis." REGION 12, no. 1 (2025): 73–101. https://doi.org/10.18335/region.v12i1.562.

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The impact of current changes in technology, society, and the environment demand innovative research approaches that can accurately capture the increasing complexity of modern geographic data. To this end, this article provides an introduction to the use and implementation of spatial network analysis for the study of systems where geography matters. Presented as a computational notebook, the article offers practical, hands-on learning resources in R, assuming no prior knowledge from readers. Using a network of road links between African cities as case study, readers will be guided through key

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14

Ertan, Hayri. "Exploratory spatial analysis of hit distribution in archery." International Journal of Academic Research 5, no. 6 (2013): 112–18. http://dx.doi.org/10.7813/2075-4124.2013/5-6/a.15.

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15

Fomin, V., and I. Fomina. "ANALYSIS OF THE SUSTAINABILITY OF A SPATIAL BUILDING." Mechanics And Mathematical Methods 7, no. 1 (2025): 58–76. https://doi.org/10.31650/2618-0650-2025-7-1-58-76.

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Concrete columns are important elements of building structures that provide stability and load-bearing capacity to buildings. However, their durability can be significantly reduced when exposed to aggressive environments such as chemicals, moisture, salt, acid rain, etc. Asymmetric exposure to such environments can lead to uneven concrete failure, which affects the spatial stability of the column. The main factors affecting column stability: 1. Aggressive environment: chemical corrosion of concrete and reinforcement, uneven impact on different parts of the column (for example, one side of the

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16

Beenstock, Michael, Daniel Felsenstein, and Dai Xieer. "Spatial econometric analysis of spatial general equilibrium." Spatial Economic Analysis 13, no. 3 (2017): 356–78. http://dx.doi.org/10.1080/17421772.2018.1403645.

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17

Martin, R. J., and F. Droesbeke. "Spatial Processes and Spatial Time Series Analysis." Journal of the Royal Statistical Society. Series A (Statistics in Society) 151, no. 3 (1988): 553. http://dx.doi.org/10.2307/2983011.

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18

Abd Sukor, Nurshuhada, Zubaidi Daud, and Zakri Tarmidi. "Risk Analysis for Sewerage System using Spatial Analysis." Jurnal Kejuruteraan 32, no. 3 (2020): 431–40. http://dx.doi.org/10.17576/jkukm-2020-32(3)-08.

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Sewerage systems are important to ensure that wastes discharged at the domestic and industrial levels are well maintained so as not to impact the environment. Sewerage system assets should be monitored and maintained to minimize risks from occurring. Factors that lead to the risk of occurrence of these assets should be identified, as well as location for these risks. This study aims to identify some risks and potential risk locations for the assets in the sewerage system. To achieve this goal, the risk factors that will occur need to be identified. The Skudai north area was chosen as the study

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19

Soleimani moghadam, Hadi, rahman zandi, and ebrahim akbari. "Spatial zoning and spatial analysis of urban poverty using spatial analysis (Case study: Mashhad city)." Journal of Applied researches in Geographical Sciences 21, no. 60 (2021): 239–58. http://dx.doi.org/10.52547/jgs.21.60.239.

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20

Aditiya, Pandi, Ahmad Herison, Ika Kustiani, and Amril Ma’ruf Siregar. "Investment Analysis of New Port Development Project As a Solution to Overload Problems in Long Ports." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 19, no. 2 (2019): 61–70. http://dx.doi.org/10.21009/spatial.192.7.

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The increasing demand for port services at the Panjang port causes high levels of ship queues. The solution to overcome this problem is to build a new port. However, this new port construction project has not yet conducted a feasibility study. The purpose of this study is to assess the feasibility of port development in the Panjang district of Bandar Lampung in terms of investment or financial aspects. The methods are Benefit-Cost Ratio, Net Present Value, Payback Period, and Internal Rate of Return. The results of the feasibility study of the most profitable investment are in the seventh scen

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21

Sulistyo, Wiwin, Subanar Subanar, and Reza Pulungan. "Development of a Spatial Path-Analysis Method for Spatial Data Analysis." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 4 (2018): 2456. http://dx.doi.org/10.11591/ijece.v8i4.pp2456-2467.

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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 a

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22

Khalid, Nurul Shakila, Na’asah Nasrudin, and Naimah Osman. "Evaluating Neighbourhood Accessibility: A Spatial Analysis of Walking Preferences." International Journal of Psychosocial Rehabilitation 24, no. 02 (2020): 2395–409. http://dx.doi.org/10.37200/ijpr/v24i2/pr200537.

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23

Choi. "Spatial Analysis of Flood Inundation for Ensuring Stream Space." Journal of the Korean Society of Civil Engineers 35, no. 2 (2015): 341. http://dx.doi.org/10.12652/ksce.2015.35.2.0341.

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24

Westheimer, Gerald. "Spatial and spatial-frequency analysis in visual optics." Ophthalmic and Physiological Optics 32, no. 4 (2012): 271–81. http://dx.doi.org/10.1111/j.1475-1313.2012.00913.x.

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25

Westheimer, Gerald. "Spatial and spatial-frequency analysis in visual optics." Ophthalmic and Physiological Optics 32, no. 5 (2012): 441. http://dx.doi.org/10.1111/j.1475-1313.2012.00938.x.

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26

Johnston, RJ. "W(H)ITHER spatial science and spatial analysis." Futures 29, no. 4-5 (1997): 323–36. http://dx.doi.org/10.1016/s0016-3287(97)00014-1.

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27

Ospina, Oscar, Roberto Manjarres-Betancur, Guillermo Gonzalez-Calderon, et al. "Abstract 876: spatialGE: Empowering researchers to study the tumor microenvironment leveraging spatial transcriptomics." Cancer Research 84, no. 6_Supplement (2024): 876. http://dx.doi.org/10.1158/1538-7445.am2024-876.

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Abstract The use of single-cell RNA-seq (scRNA-seq) to understand the complexity of the tumor microenvironment (TME) has been pivotal in advancing cancer research and treatment strategies. Nevertheless, locating the individual TME components in their spatial contexts is essential to understanding the complexity of the TME, tumorigenesis, metastasis, and drug response. The recent popularity of spatially resolved transcriptomics (SRT) allows researchers to describe the TME and their spatial neighborhoods; however, SRT data analysis can be challenging for non-data scientists. Thus, we have develo

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28

Gillespie, Jessica, Maciej Pietrzak, Min-Ae Song, and Dongjun Chung. "A Meta-Review of Spatial Transcriptomics Analysis Software." Cells 14, no. 14 (2025): 1060. https://doi.org/10.3390/cells14141060.

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Spatial transcriptomics combines gene expression data with spatial coordinates to allow for the discovery of detailed RNA localization, study development, investigating the tumor microenvironment, and creating a tissue atlas. A large range of spatial transcriptomics software is available, with little information on which may be better suited for particular datasets or computing environments. A review was conducted to detail the useful metrics when choosing appropriate software for spatial transcriptomics analysis. Specifically, the results from benchmarking studies that compared software acros

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29

Tarmidi, Zakri, Wei Kang Yap, Hua Xian Kon, Suzanna Azmy, and Noordyana Hassan. "Analysing Spatial Pattern of the Three Major Fast-Food Chain Restaurants in Johor Bahru Johor, Malaysia." Journal of Advanced Geospatial Science & Technology 3, no. 2 (2023): 63–76. http://dx.doi.org/10.11113/jagst.v3n2.64.

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Spatial analysis has proven to be an impactful tool in business for gaining insights and making informed decisions, especially in analysing spatial patterns and finding new locations for starting or expanding the business. However, most fast-food chain restaurants have t yet to optimise the use of GIS, especially in analysing the spatial distribution patterns of their outlets. This study aims to analyse the spatial distribution patterns of three major fast-food chains in Johor Bahru, Malaysia: KFC, McDonald’s, and Burger King. Four spatial analyses were performed: network analysis, buffer anal

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30

Samadi, Dr. "PENGARUH PERILAKU BERTANGGUNG JAWAB DAN PEMAHAMAN SISWA SMA DI DKI JAKARTA TERHADAP KETAHANAN SOSIAL EKOLOGIS LOKAL." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 18, no. 1 (2018): 72–76. http://dx.doi.org/10.21009/spatial.181.04.

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This study aims to determine empirically the influence of responsible behavior toward ecological social resilience in the framework of environmental education in senior high school students. The research was conducted during August-December 2017. This research used experimental method with 2 X 2 factorial design. The population in this study is the affordable population with random sampling method. The test of statistical hypothesis used ANAVA (analysis of variance) by comparing the Fcount with Ftable on each treatment factor (A and B), and interaction between factors (Ax B). Data analysis in

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31

Sheppard, Eric. "DISSENTING FROM SPATIAL ANALYSIS." Urban Geography 16, no. 4 (1995): 283–303. http://dx.doi.org/10.2747/0272-3638.16.4.283.

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32

Tran, Duc Trong. "Spatial analysis in WebGIS." Science and Technology Development Journal 19, no. 2 (2016): 75–81. http://dx.doi.org/10.32508/stdj.v19i2.671.

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In most of WebGIS applications, user interactions mainly concentrate on map data editing or data querying. Another aspect with paying less attention is to allow user doing spatial analysis. Spatial analysis can be implemented on server side, by using WPS (Web Processing Service), or on client side, by using JSTS (JavaScript Topology Suite). As an contribution to this aspect, this paper shows how to use to use WPS service of Geoserver and JSTS JavaScript library to carry on spatial analysis activities. A WebGIS system - based on the open source Geoserver and OpenLayers - has been developed and

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33

Ziegel, Eric R., S. Fotheringham, and Peter Rogerson. "Spatial Analysis and GIS." Technometrics 39, no. 2 (1997): 238. http://dx.doi.org/10.2307/1270932.

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34

Palmer, Michael W., Trevor C. Bailey, and Anthony C. Gatrell. "Interactive Spatial Data Analysis." Ecology 77, no. 5 (1996): 1642. http://dx.doi.org/10.2307/2265559.

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35

Calder, Alistair. "Spatial analysis ... Why bother?" Statistical Journal of the United Nations Economic Commission for Europe 17, no. 2 (2000): 119–23. http://dx.doi.org/10.3233/sju-2000-17203.

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36

Luna, Ronaldo, and J. David Frost. "Spatial Liquefaction Analysis System." Journal of Computing in Civil Engineering 12, no. 1 (1998): 48–56. http://dx.doi.org/10.1061/(asce)0887-3801(1998)12:1(48).

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37

Haining, R., S. Wise, and J. Ma. "Exploratory Spatial Data Analysis." Journal of the Royal Statistical Society: Series D (The Statistician) 47, no. 3 (1998): 457–69. http://dx.doi.org/10.1111/1467-9884.00147.

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38

Agterberg, Frederik P. "Interactive spatial data analysis." Computers & Geosciences 22, no. 8 (1996): 953–54. http://dx.doi.org/10.1016/s0098-3004(96)80468-7.

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39

Graham, A. J., P. M. Atkinson, and F. M. Danson. "Spatial analysis for epidemiology." Acta Tropica 91, no. 3 (2004): 219–25. http://dx.doi.org/10.1016/j.actatropica.2004.05.001.

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40

Nijkamp, Peter. "Discrete spatial choice analysis." Regional Science and Urban Economics 17, no. 1 (1987): 1–2. http://dx.doi.org/10.1016/0166-0462(87)90065-2.

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41

Lopes, Hedibert Freitas, Esther Salazar, and Dani Gamerman. "Spatial dynamic factor analysis." Bayesian Analysis 3, no. 4 (2008): 759–92. http://dx.doi.org/10.1214/08-ba329.

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42

Haslett, John. "Spatial Data Analysis-Challenges." Statistician 41, no. 3 (1992): 271. http://dx.doi.org/10.2307/2348549.

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43

Tremlett, Paul-François. "Religion and spatial analysis." Material Religion 9, no. 1 (2013): 116–17. http://dx.doi.org/10.2752/175183413x13535214684177.

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44

Snickars, F. "Formal spatial economic analysis." European Journal of Operational Research 19, no. 3 (1985): 403–5. http://dx.doi.org/10.1016/0377-2217(85)90143-2.

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45

Clark, Chris D., and Colin Wilson. "Spatial analysis of lineaments." Computers & Geosciences 20, no. 7-8 (1994): 1237–58. http://dx.doi.org/10.1016/0098-3004(94)90073-6.

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46

Finkelshtein, Dmitri, Yuri Kondratiev, Eugene Lytvynov, and Maria João Oliveira. "Stirling operators in spatial combinatorics." Journal of Functional Analysis 282, no. 2 (2022): 109285. http://dx.doi.org/10.1016/j.jfa.2021.109285.

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47

Shi, Junping, Chuncheng Wang, Hao Wang, and Xiangping Yan. "Diffusive Spatial Movement with Memory." Journal of Dynamics and Differential Equations 32, no. 2 (2019): 979–1002. http://dx.doi.org/10.1007/s10884-019-09757-y.

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48

Ariyanti, Oktavia, Cahyadi Setiawan, and Fauzi Ramadhoan A'Rachman. "Evaluasi Kesesuaian Lahan Tanaman Padi Sawah di Desa Weninggalih, Kecamatan Jonggol, Kabupaten Bogor." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 1 (2022): 1–12. http://dx.doi.org/10.21009/spatial.221.3.

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The need for rice is certainly increasing along with the increase in the population of a region. Weninggalih is one of the villages in Bogor Regency where most of the land cover (63%) is rice fields. The land can only be harvested once a year. So that the area of rice fields is not proportional to the results of rice production produced. These problems raise the interest of researchers in conducting land evaluation analysis on lowland rice plants. The data used comes from the results of data collection with observation techniques and literature study. The sample used was 35 units based on th

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49

Dučinskas, K., and J. Šaltytė. "Quadratic Discriminant Analysis of Spatially Correlated Data." Nonlinear Analysis: Modelling and Control 6, no. 2 (2001): 15–28. http://dx.doi.org/10.15388/na.2001.6.1.15212.

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The problem of classification of the realisation of the stationary univariate Gaussian random field into one of two populations with different means and different factorised covariance matrices is considered. In such a case optimal classification rule in the sense of minimum probability of misclassification is associated with non-linear (quadratic) discriminant function. Unknown means and the covariance matrices of the feature vector components are estimated from spatially correlated training samples using the maximum likelihood approach and assuming spatial correlations to be known. Explicit

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50

Herison, Ahmad, Yuda Romdania, and Willy Brilliant Yosua. "Analisis Zonasi Ekowisata Bahari Berbasis Sistem Informasi Geografis." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 18, no. 2 (2018): 95–104. http://dx.doi.org/10.21009/spatial.182.03.

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The magnitude of tourism potential and diversity of tourism in Pesisir Barat District, making the attraction for tourists in Pesisir Barat District. It is needed a tourism planning in the mapping of marine ecotourism area in Pesisir Barat District, beauty of nature, and the interest of foreign tourists are not hindered by the attributes - ecotourism attributes that are inadequate for the purpose of the prosperity that has a big impact for the province and the country. The purpose of this research is to design the zoning of marine ecotourism area in Pesisir Barat regency. The method used is Com

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