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

2018 ◽  
Vol 8 (4) ◽  
pp. 2456
Author(s):  
Wiwin Sulistyo ◽  
Subanar Subanar ◽  
Reza Pulungan
Keyword(s):  
Path Analysis ◽  
Spatial Data ◽  
Method Development ◽  
Spatial Regression ◽  
Spatial Data Analysis ◽  
Analysis Method ◽  
Analysis Model ◽  
Process Data ◽  
Spatial Dependencies ◽  
Indirect Relationship

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.

scholarly journals When Your Child Has Cancer: A Path-Analysis Model to Show the Relationships between Flourishing and Health in Parents of Children with Cancer

2021 ◽  
Vol 18 (23) ◽  
pp. 12587
Author(s):  
Carmen Pozo Muñoz ◽  
Blanca Bretones Nieto ◽  
María Ángeles Vázquez López
Keyword(s):  
Path Analysis ◽  
Psychosocial Interventions ◽  
Subjective Health ◽  
Physical Symptoms ◽  
Analysis Model ◽  
Children With Cancer ◽  
Health Report ◽  
Indirect Relationship ◽  
And Coping ◽  
Path Analysis Model

Background: Childhood cancer is a disease with a psychosocial impact on parents who experience health problems and distress. Their reactions depend on the relationship of multiple factors. The objective of this paper is to evaluate the interrelationships between flourishing and the variables linked to the health and wellbeing of parents of children with cancer. Methods: Mothers/fathers of children with cancer participated in an exploratory study in response to a series of questionnaires. Likert-type scales were used to measure perceived health, wellbeing, flourishing, stress, coping, and social support. Results: Out of a total of 94 children, 138 parents (60 men/78 women) are represented. Participants show physical symptoms and an unstable coping pattern. A path analysis model is presented. As to the goodness of adjustment of the statistics used, good results were obtained. Flourishing tends to coexist with wellbeing, while flourishing coexists negatively with symptoms. There is an indirect relationship between flourishing and poor health. There is a positive relationship between flourishing and coping, as well as between flourishing and satisfaction with the support received (especially from sons/daughters). This support was negatively related to the subjective health report. Conclusions: Flourishing is shown as a healthy coping strategy. The results can enrich the development of psychosocial interventions aimed at promoting adequate adaptation.

Analysis Method Based on Cloud Model for Comprehensive Indices for Natural Zoning for Highways

2014 ◽  
Vol 587-589 ◽  
pp. 1972-1976
Author(s):  
Chao Li ◽  
Yu Lan Wang
Keyword(s):  
Spatial Data ◽  
Subjective Experience ◽  
Cloud Model ◽  
Analysis Method ◽  
Analysis Model ◽  
Highway Engineering ◽  
Quantitative Analysis Method ◽  
Difficulty Index ◽  
Influence Degree

Zoning indices are important reference for highway zoning. Therefore, the analysis and calculation method of zoning indices is the key to objectivity and scientific of the highway natural regionalization. In the analysis and calculation process of comprehensive index, strong fuzziness and randomness of factors description is the main obstacle to achieve reasonable conversion between qualitative and quantitative. At the same time, the weight determination of each factor mainly relies on the subjective experience, is lack of objective and quantitative analysis method. In previous study on Natural Zoning for Highways in China, zoning indices were not comprehensive ones, but usually single physical geographical element. This paper combined the cloud model and Delphi theory to put forward the comprehensive zoning index analysis method. Highway Engineering Difficulty Index (HEDI) was analyzed with this method and got the weights of the factors to calibrate the analysis model to calculate HEDI of China. The map of HEDI reflects the influence degree of surface configuration on highway engineering in different regions of China correctly. Analysis result shows that the method improves the quantization degree of comprehensive zoning indices analysis, realizes the optimal utilization of the fundamental spatial data.

scholarly journals Travel and us: The impact of mode share on sentiment using geo-social media and GIS

2021 ◽  
Author(s):  
Greg Rybarczyk ◽  
Syagnik Banerjee ◽  
Melissa D. Starking-Szymanski ◽  
Richard Ross Shaker
Keyword(s):  
Social Media ◽  
Spatial Data ◽  
Spatial Regression ◽  
Negative Influence ◽  
Spatial Data Analysis ◽  
Spatial Autoregression ◽  
Spatial Error ◽  
Factors Affecting ◽  
Pedestrian Travel ◽  
The Impact

Commute stress is a serious health problem that impacts nearly everyone. Considering that microblogged geo-locational information offers new insight into human attitudes, the present research examined the utility of geo-social media data for understanding how different active and inactive travel modes affect feelings of pleasure, or displeasure, in two major U.S. cities: Chicago, Illinois and Washington D.C. A popular approach was used to derive a sentiment index (pleasure or valence) for each travel Tweet. Methodologically, exploratory spatial data analysis (ESDA) and global and spatial regression models were used to examine the geography of all travel modes and factors affecting their valence. After adjusting for spatial error associated with socioeconomic, environmental, weather, and temporal factors, spatial autoregression models proved superior to the base global model. The results showed that water and pedestrian travel were universally associated with positive valences. Bicycling also favorably influenced valence, albeit only in D.C. A noteworthy finding was the negative influence temperature and humidity had on valence. The outcomes from this research should be considered when additional evidence is needed to elevate commuter sentiment values in practice and policy, especially in regards to active transportation.

scholarly journals Travel and us: The impact of mode share on sentiment using geo-social media and GIS

2021 ◽  
Author(s):  
Greg Rybarczyk ◽  
Syagnik Banerjee ◽  
Melissa D. Starking-Szymanski ◽  
Richard Ross Shaker
Keyword(s):  
Social Media ◽  
Spatial Data ◽  
Spatial Regression ◽  
Negative Influence ◽  
Spatial Data Analysis ◽  
Spatial Autoregression ◽  
Spatial Error ◽  
Factors Affecting ◽  
Pedestrian Travel ◽  
The Impact

Commute stress is a serious health problem that impacts nearly everyone. Considering that microblogged geo-locational information offers new insight into human attitudes, the present research examined the utility of geo-social media data for understanding how different active and inactive travel modes affect feelings of pleasure, or displeasure, in two major U.S. cities: Chicago, Illinois and Washington D.C. A popular approach was used to derive a sentiment index (pleasure or valence) for each travel Tweet. Methodologically, exploratory spatial data analysis (ESDA) and global and spatial regression models were used to examine the geography of all travel modes and factors affecting their valence. After adjusting for spatial error associated with socioeconomic, environmental, weather, and temporal factors, spatial autoregression models proved superior to the base global model. The results showed that water and pedestrian travel were universally associated with positive valences. Bicycling also favorably influenced valence, albeit only in D.C. A noteworthy finding was the negative influence temperature and humidity had on valence. The outcomes from this research should be considered when additional evidence is needed to elevate commuter sentiment values in practice and policy, especially in regards to active transportation.

scholarly journals CASH HOLDINGS, PROFITABILITAS DAN NILAI PERUSAHAAN STUDI PADA PERUSAHAAN SUB-SEKTOR KONSTRUKSI BANGUNAN YANG TERDAFTAR DI BEI

2020 ◽  
Author(s):  
Muhammad Nurhadi N
Keyword(s):  
Path Analysis ◽  
Firm Value ◽  
Stock Exchange ◽  
Cash Holdings ◽  
Analysis Model ◽  
Indirect Relationship

This study aimed to investigate the direct and indirect relationship between cash holdings, profitability, and firm value. The objects of this study were 9 sub-sector construction building companies listied in Indonesia Stock Exchange period 2014-2018. The analysis model used in this study was path analysis, processed using SPSS 23. The results indicated that (1) Cash holdings had a positive and non-significant effect on profitability; (2) Cash holdings had a negative and non-significant effect on firm value; (3) Profitability had a positive and significant effect on firm value; and (4) Cash holdings had a positive and non-significant effect on firm value through profitability.

scholarly journals Study of Rainfall and Water Discharge Spatial Variability Using Exploratory Spatial Data Analysis Method in Bondowoso Regency

2021 ◽  
Vol 9 (1) ◽  
pp. 26
Author(s):  
Vide Mirza Faillasuf ◽  
Gusfan Halik ◽  
Retno Utami Agung Wiyono
Keyword(s):  
Data Analysis ◽  
Water Resources ◽  
Spatial Data ◽  
Rainfall Intensity ◽  
Water Discharge ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Analysis Method ◽  
Rainfall Distribution ◽  
Monthly Average

The difference in rainfall intensity affects the hydrological cycle as a process that greatly determines the amount of water discharge. Thus, in water resources management, it is important to determine the distribution pattern of rainfall and discharge. By studying the characteristics of rainfall distribution patterns and water discharge, the potential of water resources can be illustrated well. This study uses the Exploratory Spatial Data Analysis method to examine spatial variability of rainfall intensity and water discharge in Bondowoso Regency. Rainfall and discharge data are collected from 35 rain stations and 227 weirs in 2008 until 2018. This study produces monthly average rainfall distribution values between 190 mm / month with monthly average discharge between 7300lt/sec/month. Meanwhile, the obtained average annual rainfall distribution values are between 2300 mm/year with annual average discharge values between 105000 lt/sec/month. The spatial distribution map using IDW method produces information on the potential of water resources as follow: the higher the height of a place, the higher the average monthly rainfall, while the lower the height of a place, the higher the average monthly discharge. As for the obtained correlation value between rainfall and discharge is R² = 0.665.

scholarly journals PENGARUH PERTUMBUHAN EKONOMI DAN INFLASI TERHADAP PENGANGGURAN TERBUKA DAN KEMISKINAN DI KOTA SAMARINDA

2015 ◽  
Vol 5 (2) ◽  
pp. 173
Author(s):  
Siti Amalia
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Qualitative Analysis ◽  
Path Analysis ◽  
Direct Effect ◽  
Indirect Effect ◽  
Analysis Method ◽  
Analysis Model ◽  
Employment Opportunities ◽  
Path Analysis Model

The purpose of this study was to determine the direct effect of economic growth and inflation against unemployment and poverty in Samarinda, to determine the direct effect of unemployment on poverty in Samarinda, and also the indirect effect of inflation on economic growth and poverty in Samarinda. Data analysis and hypothesis used in this study were path analysis method (Path Analysis Model). Based on the results of quantitative and qualitative analysis and hypothesis testing it can be generated the economic growth and inflation effect on unemployment in Samarinda. So that, government are expected to make better employment opportunities in order to reduce the number of unemployment in Samarinda.

scholarly journals A GIS Application to Explore Postal Retail Outlet Locations

1970 ◽  
Vol 24 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Nikola Trubint
Keyword(s):  
Spatial Data ◽  
Spatial Data Analysis ◽  
Location Analysis ◽  
Retail Outlet ◽  
Analysis Model ◽  
Joint Project ◽  
Post Corporation ◽  
Project Location ◽  
Gis Software

The use of GIS in solving a wide variety of problems in postal operations is expanding. This approach provides the development and usage of new methods in spatial data analysis, as support in achieving a better quality of the decision-making process. The use of location analysis model based on GIS software is implemented in solving the Belgrade postal retail outlet problem. One of the most important experiences of model implementation is that the local environmental conditions have a significant impact on strategic as well as operational approach. A portion of the material included in the paper has resulted from the Serbian PTT and CPC (Canada Post Corporation) joint project Location Analysis.

Concentration of Urban Violence in Fortaleza and Strategies for Crime Prevention

2021 ◽  
pp. 073401682110380
Author(s):  
Régis Façanha Dantas ◽  
Serena Favarin
Keyword(s):  
Crime Prevention ◽  
Spatial Data ◽  
Spatial Regression ◽  
Spatial Dynamics ◽  
Spatial Data Analysis ◽  
Urban Violence ◽  
Violent Crimes ◽  
Spatially Correlated ◽  
The City ◽  
Urban Disorder

Despite the continued prevalence of violence in Latin America, there is a relative dearth of research investigating both spatial patterns of violent crimes and the effectiveness of evidence-based crime prevention policies in Brazil. This study aims to address this gap in extant knowledge by creating a Spatial Violence Index and a Restrictive Ambient Index to investigate the spatial dynamics of violent crimes and urban vulnerabilities in Fortaleza. Both exploratory spatial data analysis and spatial regression models were employed to visualize the associative patterns and measure the correlation between the two indexes. The results demonstrate how locations characterized by high levels of violence are spatially correlated with more vulnerable locations in terms of both socio-economic-demographics and urban disorder. Overall, the study identified 124 vulnerable micro-territories that would benefit from the allocation of resources in an effort to reduce violence in the city by enhancing the efficiency of policing and prevention strategies.

scholarly journals Inequalities in the spatial concentration of agricultural crops among the micro- and mesoregions of Minas Gerais, Brazil

2020 ◽  
Vol 50 (5) ◽  
Author(s):  
Erica Costa Rodrigues ◽  
Ricardo Tavares ◽  
Adriana Lúcia Meireles
Keyword(s):  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Minas Gerais ◽  
The State ◽  
Spatial Data Analysis ◽  
P Value ◽  
Agricultural Crops ◽  
Analysis Model ◽  
Modernization Process ◽  
Local Moran

ABSTRACT: The present research aimed to map and estimate the spatial autocorrelation of agricultural crops of coffee, corn, soybeans, sugarcane and beans in the state of Minas Gerais and analyzed in the period from 2011 to 2015. The planted area data were obtained of the Systematic Survey of Agricultural Production - IBGE. The Exploratory Spatial Data Analysis model was used to calculate spatial autocorrelation using the Global and Local Moran Index. Significant spatial self-correction was reported in all studied cultures (P-value <0.05). The regions with the highest concentration of planted area are located in the western portion of the state. The least significant planting regions were the municipalities located in the Jequitinhonha and Vale do Mucuri regions. The results pointed to a micro and mesoregional inequality in the distribution of agricultural activities in the mining territory that seems to reflect the incomplete agricultural modernization process that occurred in the state in the 70 s and 80 s.

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