Power system spatial analysis and visualization using geographic information system (GIS)

2019 ◽  
Vol 28 (1) ◽  
pp. 101-112
Author(s):  
Ismael Abdulrahman ◽  
Ghadir Radman
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Power System ◽  
Geographic Information

scholarly journals Spatial analysis of hypothyroidism and ground water pH in an Urban Area of Kerala using the geographic information system

2020 ◽  
Vol 64 (3) ◽  
pp. 300
Author(s):  
MathewJoseph Valamparampil ◽  
Sara Varghese ◽  
Ananth Mohan ◽  
Rajesh Reghunath ◽  
AL Achu ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Ground Water ◽  
Urban Area ◽  
Geographic Information ◽  
Water Ph

scholarly journals Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model

2020 ◽  
Vol 17 (21) ◽  
pp. 7824
Author(s):  
Jaehyeong Cho ◽  
Seng Chan You ◽  
Seongwon Lee ◽  
DongSu Park ◽  
Bumhee Park ◽  
...  
Keyword(s):  
United States ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Health Outcomes ◽  
Open Source ◽  
Geographical Distribution ◽  
The United States ◽  
Geographic Information ◽  
Common Data Model

Background: Spatial epidemiology is used to evaluate geographical variations and disparities in health outcomes; however, constructing geographic statistical models requires a labor-intensive process that limits the overall utility. We developed an open-source software for spatial epidemiological analysis and demonstrated its applicability and quality. Methods: Based on standardized geocode and observational health data, the Application of Epidemiological Geographic Information System (AEGIS) provides two spatial analysis methods: disease mapping and detecting clustered medical conditions and outcomes. The AEGIS assesses the geographical distribution of incidences and health outcomes in Korea and the United States, specifically incidence of cancers and their mortality rates, endemic malarial areas, and heart diseases (only the United States). Results: The AEGIS-generated spatial distribution of incident cancer in Korea was consistent with previous reports. The incidence of liver cancer in women with the highest Moran’s I (0.44; p < 0.001) was 17.4 (10.3–26.9). The malarial endemic cluster was identified in Paju-si, Korea (p < 0.001). When the AEGIS was applied to the database of the United States, a heart disease cluster was appropriately identified (p < 0.001). Conclusions: As an open-source, cross-country, spatial analytics solution, AEGIS may globally assess the differences in geographical distribution of health outcomes through the use of standardized geocode and observational health databases.

scholarly journals Geographic Information System and tools of spatial analysis in a pneumococcal vaccine trial

2012 ◽  
Vol 5 (1) ◽  
pp. 51 ◽  
Author(s):  
Antti Tanskanen ◽  
Leilani T Nillos ◽  
Antti Lehtinen ◽  
Hanna Nohynek ◽  
Diozele Hazel M Sanvictores ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Pneumococcal Vaccine ◽  
Vaccine Trial ◽  
Geographic Information

scholarly journals Spatial Analysis of the Land Suitability for Cocoa Plantations in East Dusun District

2019 ◽  
Vol 3 (2) ◽  
pp. 228-234
Author(s):  
Natan Nael ◽  
Frederik Samuel Papilaya
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Geographic Information ◽  
Land Suitability ◽  
Climate Conditions ◽  
Central Kalimantan ◽  
The Government ◽  
Main Component ◽  
System Capability

The expansion of plantations of cocoa is the main component in the plantation revitalization program which is applied by the Government of Indonesia in order to optimize the potential of cocoa. This policy has not been implemented well in East Dusun District, East Barito Regency, Central Kalimantan province that just open cocoa plantations covering an area of 3 ha in the year 2016. The spatial analysis of land suitability by utilizing Geographic Information System capability that allows the expansion of plantations of cacao in this district. Spatial analysis to get the suitability of land for cocoa plantations uses overlay based on climate conditions and regulations of the Governor of Central Kalimantan. The proportion of land suitability class that is highly suitable, suitable, marginally suitable, and not suitable with each area size of 56,434.63 ha, 2,302.81 ha, not found, and 19,510.42 ha.   Keywords: Cocoa, Overlay, Land Suitability  

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