Open Journal of Civil Engineering

Open Journal of Civil Engineering

ISSN Print: 2164-3164
ISSN Online: 2164-3172
www.scirp.org/journal/ojce
E-mail: ojce@scirp.org
"A _disibledevent='margin-left:-7px;'>* Statistic"
written by Azad Abdulhafedh,
published by Open Journal of Civil Engineering, Vol.7 No.2, 2017
has been cited by the following article(s):
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[2] Environmental and social inequalities in health: Neighborhood-level composite indices as a decision-making tool
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[6] ClusterRadar: an Interactive Web-Tool for the Multi-Method Exploration of Spatial Clusters Over Time
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[7] การ ประยุกต์ ใช้ การ วิเคราะห์ ทาง สถิติ เชิง พื้นที่ ของ คดี ยา เสพ ติด ใน อำ เภ อ เมือง จังหวัด นครปฐม
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[8] Mapping the landscape: Dengue nexus in Mandaue city, Philippines
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[9] A Novel GIS Approach for Locating No-Passing Zones and Assessing Passing Sight Distance on Two-Lane, Two-Way Highways: A Case Study of MO Route 5 …
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[10] Reportable Enteric Illness Due to Drinking Water Source in Pennsylvania
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[11] Assessment of geological diversity, geosites, and geotourism potencies at Menoreh Mountain for designation of geopark area
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[12] Road Accident Hotspots on Jordan's Highway Based on Geometric Designs Using Structural Equation Modeling
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[13] Hybrid ARIMA-Spatial Autocorrelation (Moran Index and LISA) for Covid-19 Vaccination in All Indonesian Provinces
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[14] Spatial distribution of crimes against property: A case study in Nakhon Pathom Province
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[15] Modeling Invasive Prosopis juliflora Distribution Using the Newly Launched Ethiopian Remote Sensing Satellite-1 (ETRSS-1) in the Lower Awash River …
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[16] A Planning Support System for Boosting Bikeability in Seoul
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[17] Vegetation Indices-Based Rice and Potato Yield Estimation Through Sentinel 2B Satellite Imagery
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[18] High-risk fertility behaviours among women of reproductive ages in the Democratic Republic of the Congo: prevalence, correlates, and spatial distribution
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[19] Spatial pattern of arsenic concentration and associated noncarcinogenic health risk assessment: a case study on Gangni Union of Chuadanga district of …
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[20] Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
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[21] Modeling Vehicle Crash Frequency When Multicollinearity Exists in Vehicle Crash Data: Ridge Regression versus Ordinary Least Squares Linear Regression
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[22] Addressing Traffic Congestion by Using of the Counter-Intuitive Phenomenon of Braess' Paradox in Transportation Networks
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[23] Modeling the Prevalence of Tuberculosis in Java, Indonesia: An Ecological Study Using Geographically Weighted Regression
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[24] Geospatial Analysis of Diabetes Type 2 and Hypertension in South Sulawesi, Indonesia
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[25] Sistema inteligente de predição espaciotemporal para avaliação de risco no combate ao SARS-CoV-2 em Portugal Continental
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[26] Diversidad microbiológica en suelos utilizados para granjas ganaderas en las poblaciones de Pedro Vicente Maldonado de Pichincha y Linares de Napo
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[27] Distribution of Spread and Characteristics of Confirmed Covid-19 based on Spatial Autocorrelation in Manado
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[28] Patterns of Added Value and Innovation in Europe—With Special Regards to Metropolitan Regions of CEE
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[29] Modelação do padrão espaciotemporal do covid-19 em Portugal continental: uma ferramenta de apoio à decisão
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[30] Effects of land use/cover on regional habitat quality under different geomorphic types based on InVEST model
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[31] Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes
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[32] Comparison between common statistical modeling techniques used in research, including: Discriminant analysis vs logistic regression, ridge regression vs …
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[33] Spatial statistics and random forest approaches for traffic crash hot spot identification and prediction
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[34] A spatiotemporal data mining study to identify high-risk neighborhoods for out-of-hospital cardiac arrest (OHCA) incidents
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[35] Incorporating multiple linear regression in predicting the house prices using a big real estate dataset with 80 independent variables
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[36] The potential of modeling Prosopis Juliflora invasion using Sentinel-2 satellite data and environmental variables in the dryland ecosystem of Ethiopia
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[37] Traffic accident prediction model for rural highways in Pernambuco
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[38] Quality control procedures for sub-hourly rainfall data: An investigation in different spatio-temporal scales in Brazil
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[39] Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal
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[40] The Impact of Land Use and Land Cover Changes and Human Dynamics in Jobos Bay National Estuarine Research Reserve in Puerto Rico
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[41] The impact of land use and land cover changes and human dynamics in Jobos Bay National Estuarine Research Reserve in Puerto Rico.
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[42] Modeling the prevalence of tuberculosis in Java, Indonesia: an ecological study using geographically weighted regression.
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[43] Modelo do padrão espaciotemporal e predição da Covid-19 em Portugal continental
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[44] Identification of Mean Years of Schooling as a Control for RPJMD: A Spatial Autocorrelation Approach
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[45] The spatial autocorrelation between precipitation and vegetation Indices in the Bandar Abbas Basin
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[46] Spatial variations in the level of development in Barrackpore Subdivisional region, India: a micro-scale study using composite index and clustering approach
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[47] Species Distribution Modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin …
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[48] CONVERGENCE AND SPATIAL AUTOCORRELATION IN GERMANY–SPECIFIC GDP INEQUALITIES 30 YEARS AFTER THE FALL OF THE BERLIN WALL
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[49] Spatial Analysis of the Variables Involved in the Frequency and Severity of Traffic Accidents on Rural Highways in Pernambuco
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[50] Incorporating K-means, Hierarchical Clustering and PCA in Customer Segmentation
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[51] GIS-based methodology for crash prediction on single-lane rural highways
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[52] COVID-19 Spatiotemporal Hotspots and Prediction Based on Wavelet and Neural Network
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[53] Identification of Pedestrian Black Spots using ARCGIS and Improvements in Road Stretches
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[54] KONVERGENCIA éS TERüLETI AUTOKORRELáCIó NéMETORSZáGBAN, A FAJLAGOS GDP EGYENL?TLENSéGEI 30 éVVEL A BERLINI FAL LEOMLáSáT K?VET?EN
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[55] The spatial justice in the distribution of built outdoor sports facilities
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[56] Spatial Pattern of Residential Burglary. The Case Study: Kuching, Sarawak
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[57] Change in the Innovation Potential of the Northern Hungary Region Innovation is an important indicator of regional economic development and competitiveness …
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[58] Spatial patterns of hotel's occupation rate
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[59] Change in the Innovation Potential of the Northern Hungary Region
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[60] IDENTIFICATION OF PEDESTRIAN BLACK SPOTS USING ARCGIS AND IMPROVEMENTS IN ROAD STRETCHES.
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[61] An Innovative GIS Method for Evaluating the Visibility of the Road Using the ArcMap-Tools
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[62] Spatial analysis of road traffic accident hotspots: evaluation and validation of recent approaches using road safety audit
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[63] Spatio-Temporal Analysis of Highway Congestion and Accidents: A Case Study of Interstate 285 in Georgia
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[64] GIS-based techniques to identify rainfall-induced flood risk zones (blue spots): A case study of Brunei River catchment
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[65] Planar and network spatial analyses of road traffic accidents-a review of methods and tools
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[66] Applying The K-Means, The Hierarchical Clustering, and the Principal Component Analysis (PCA) in Customer Segmentation of a Credit Card Company …
[67] Spatial Analysis of Stunting Based on Environmental and Poverty Factors Among Indonesian Under-5-Years Children in 2019
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