scholarly journals CHARACTERISTIC OF SALEH BAY COASTLINE

Jurnal Segara ◽  
2018 ◽  
Vol 14 (2) ◽  
pp. 117
Author(s):  
Yulius Yulius ◽  
Muhammad Ramdhan ◽  
Ardiansyah Ardiansyah
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Natural Resources ◽  
Geographic Information ◽  
Environmental Services ◽  
Ecological Resources ◽  
Strategic Role

Indonesia is an archipelagic country with numbers of natural resources including bays. As a closed estuary, bay has a strategic role as one of the ecological resources and environmental services. Saleh Bay is an outstanding bay of West Nusa Tenggara province which is situated between Sumbawa regency and Dompu regency. The study aimed to explain the criteria for the determination of a bay based on UNCLOS and bathymetry system by using Geographic Information System (GIS). The results of the identification indicated that the Ocean Map issued by Dishidros had not entirely referred to the criteria of UNCLOS in determining an area as a bay, in which an indentation is regarded as a bay if its total area is larger than the area of t he semi-circle whose diameter is a line drawn across the mouth of that indentation. Subsequently, spatial analysis found out that the depth of the waters in Saleh Bay can be classified into eleven classes, which are: (1) 0 – 10 meter with area of 294.27 km2, (2) 10 - 20 meter with area of 205.45 km2, (3) 20 - 30 meter with area of 259.45 km2, (4) 30 - 40 meter with area of 146.25 km2, (5) 40 - 50 meter with area of 137,83 km2, (6) 50 - 60 meter with area of 148.19 km2, (7) 75 - 100 meter with area of 57.08 km2, (8) 100 - 150 meter with area of 73.78 km2, (9) 150 - 200 meter with area of 109.46 km2, (10) 200 - 300 meter with area of 533.42 km2 , and(11) >300 meter with area of 134.89 km2.

scholarly journals Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms

EDIS ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 7
Author(s):  
Jeffry M. Flenniken ◽  
Steven Stuglik ◽  
Basil V. Iannone
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Natural Resources ◽  
Software Package ◽  
Forest Resources ◽  
Software Packages ◽  
Land Cover Map ◽  
Gis Software ◽  
Florida Springs

Geographic information system (GIS) software packages can be prohibitively expensive, causing many to shy away from mapping and spatial analysis. This 7-page fact sheet written by Jeffry M. Flenniken, Steven Stuglik, and Basil V. Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. Learn how to create a land-cover map for a county of interest and create heatmaps that illustrate the density of a given attribute (Florida Springs for this example). This publication will benefit those interested in incorporating GIS into their work but who are unable to afford expensive proprietary GIS software packages, as well as anyone interested in learning a new GIS software package. https://edis.ifas.ufl.edu/fr428

scholarly journals Penentuan Penampungan Korban Banjir Di Kecamatan Laweyan Kota Surakarta Berbasis Sistem Informasi Geografis

2021 ◽  
Vol 1 (2) ◽  
pp. 55-60
Author(s):  
Moh. Ali Ma'sum
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Flood Mitigation ◽  
The Public ◽  
Disaster Victims ◽  
Flood Disasters ◽  
Evacuation Route ◽  
The Impact

One of the anticipation actions that can be done before the flood disaster comes is to determine the evacuation route and evacuation location or shelter for flood relief and spread to the public in order to accelerate the process of evacuation of disaster victims so as to minimize losses from the flood itself. This research was conducted by approaching Geographic Information System (SIG) The purpose of this research is (1) Knowing the flood-prone agihan in Laweyan Subdistrict based on SIG. (2) Analyze the Availability of Shelter Locations (Educational Buildings and Buildings of Worship) of flood victims in Laweyan Subdistrict. It is expected that in the research to know the potential of the best temporary evacuation shelter / protection and evacuation design so that it can be considered and help the relevant agencies, especially local BPBD in order to improve flood mitigation in Sumber Village, Banjarsari District, Surakarta City. To reduce or overcome the impact caused by flood disasters on the comfort and safety of the community in Laweyan Subdistrict, researchers need to raise the title, " Determination of Flood Victim Shelter in Lawean District of Surakarta City Based on 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 The Analysis of Forest Land Cover Change And Area Determination of Land Rehabilitation Based on Geographic Information System in Magelang Regency

2018 ◽  
Vol 73 ◽  
pp. 03004
Author(s):  
Lidya Ernawati ◽  
Sutrisno Anggoro
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Cover ◽  
Land Cover Change ◽  
Geographic Information ◽  
Forest Land ◽  
Land Rehabilitation ◽  
Forest Land Cover ◽  
Area Determination

Population increased has consequences for the economic development of land demands for agriculture, settlement and other infrastructure. This resulted the change of area land cover which impact on the climate change and decline the environmental quality. Therefore, it is necessary to improve the environment through the land rehabilitation activities. The analysis of land cover change is needed as the first step to identify areas targeted by the land rehabilitation. Geographic information system is used as a spatial based on the appropriate determination of rehabilitation activities

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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