scholarly journals Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR)

2018 ◽  
Vol 22 (3) ◽  
pp. 721-736 ◽  
Author(s):  
Hyeongmo Koo ◽  
Yongwan Chun ◽  
Daniel A. Griffith
Keyword(s):  
Data Analysis ◽  
Spatial Analysis ◽  
Spatial Data ◽  
Spatial Data Analysis ◽  
Arcgis Engine ◽  
Gis Environment

scholarly journals Spatial analysis of cerebral palsy in children and adolescents and its association with health vulnerability

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Marcus Valerius Peixoto ◽  
Andrezza Marques Duque ◽  
Allan Dantas Santos ◽  
Shirley Verônica Almeida Melo Lima ◽  
Társilla Pereira Gonçalves ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Data Analysis ◽  
Spatial Analysis ◽  
Children And Adolescents ◽  
Low Socioeconomic Status ◽  
Spatial Data ◽  
Local Level ◽  
Secondary Data ◽  
Spatial Data Analysis ◽  
Low Socioeconomic

Cerebral Palsy (CP) is commonly associated with low socioeconomic status. Use of spatial statistics and a Geographic Information Systems (GIS) are scarce and may contribute to the understanding of CP in a social context. To that end a spatial analysis of CP in children and adolescents was performed to analyze the association of CP with levels of vulnerability in a city (Aracaju, Sergipe) in north-eastern Brazil. In addition, an ecological study was conducted with data obtained from a populationbased survey and secondary data. Exploratory spatial data analysis and linear regression were used. A total of 288 CP cases were identified, with a prevalence of 1.65/1,000 and differences among city neighbourhoods ranging from 0-4/1,000. The mean age of cases studied was 9 years 1 month, with a standard deviation of 5 years 2 months. Most study subjects with cerebral palsy (163) were male (56.4%). The distribution of CP in the study population was not homogeneous throughout the territory. Some areas had clusters, with more cases associated with areas of high vulnerability. Spatial data analysis using GIS was useful to gain an epidemiological understanding of CP distribution that can guide decisionmaking with respect to production, distribution, and regulation of health goods as well as services at the local level.

scholarly journals THE IMPACTS OF SOCIOECONOMIC FACTORS ON MIGRATION ACROSS TURKISH REGIONS: A SPATIAL DATA ANALYSIS

2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Ilyas Oz ◽  
Fatih Celebioglu
Keyword(s):  
Data Analysis ◽  
Spatial Analysis ◽  
Unemployment Rate ◽  
Spatial Data ◽  
Spatial Data Analysis ◽  
Security Problem ◽  
Spatial Dimensions ◽  
Quality Health ◽  
Choropleth Maps ◽  
High Level

When examining the causes of migration in Turkey, it can be seen that low quality health and education services, imbalanced urbanization, security problem, high level unemployment rate have pivotal role on migration. In the 1950s Turkey, with intensified migration to big cities (mostly to West part of the country), urbanization process has accelerated. This process brought a number of problems with itself.Although many studies have been performed by researchers about migration in Turkey, there is no paper which includes spatial analysis. In this manner, this study purpose to examine the impacts of the factors as unemployment rate, Socio-economic Development Index on migration and their spatial analysis dimensions.To test spatial dimensions of the variables, we perform an exploratory spatial data analysis (ESDA) on migration and other variables among provinces of Turkey. While our choropleth maps indicate that the some part of the country is significantly more developed than the others, the tools of spatial statistics reveal the presence of spatial dependence across provinces. The presence of heterogeneity is reflected in the distribution of LISA statistics. Overall, our results shed new light on the distribution of migration and its relation with the others among provinces across Turkey.

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