scholarly journals Rational use of floodplain ecosystems of the North

2021 ◽  
Vol 291 ◽  
pp. 02026
Author(s):  
Aliya Kushanova ◽  
Elena Korkina ◽  
Sergey Sokolov
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Economic Efficiency ◽  
Satellite Image ◽  
Geographic Information ◽  
Rational Use ◽  
Ob River ◽  
The North ◽  
Floodplain Ecosystems

The purpose of the study is the spatial analysis of the factors of floodplain ecosystems and the calculation of rational use, through the calculation of technical and economic indicators and the calculation of the economic efficiency of haymaking. The assessment of the economic efficiency of the forage base was obtained based on the study of the grass stand and productivity of hayfields in five key areas of the Ob River floodplain, the study of soil properties, their qualitative characteristics necessary for understanding the soil fertility of floodplain ecosystems, on which land productivity depends. The spatial analysis of the rational use of the floodplain ecosystems of the Ob River was made in a semi-automatic way by decoding the Bing satellite image (the SAS Planet mapping and navigation program) in the Semi-Automatic Classification Plugin module in the QGIS geographic information system, the cartographic material was edited in the MapInfo Professional geographic information system.

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 Implementasi Google Maps API Pemetaan Jalur Evakuasi Bencana Alam di Kabupatem Lombok Utara

2019 ◽  
Vol 19 (1) ◽  
pp. 138-146
Author(s):  
Khaerul Yasin ◽  
Ahmat Adil
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Eurasian Plate ◽  
Google Maps ◽  
Tectonic Plates ◽  
Plate Movement ◽  
The North ◽  
Australian Plate ◽  
Evacuation Routes

Basically, Indonesia is traversed by three active tectonic plates namely the Indo-Australian Plate in the south, and the Eurasian Plate in the north and the Pacific Plate in the east. The plates collide with each other because the Indo-Australian Plate movement drops below the Eurasian plate. As a result of this accumulation, it caused earthquakes, volcanoes, and faults or faults in parts of Indonesia. In the Geographic Information System evacuation routes will be used by Google maps Api to implement the spatial map making of evacuation routes. Google Map Api is an application interface that can be accessed via javascript so that Google Map can be displayed on the web page that we are building. The result or output to be achieved is the creation of a geographic information system mapping natural disaster evacuation route in the North Lombok district that can be run on a Web platform. Based on the trials conducted it can be concluded that this application can help the community to find the location of evacuation routes and gathering points in accordance with the districts and villages where they live.

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.

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