Free and open-source software for Geographic Information System on coastal management: A study case of sea-level rise in southern Brazil

2021 ◽  
pp. 102025
Author(s):  
Lucas T. de Lima ◽  
Sandra Fernández-Fernández ◽  
Carlos V.C. Weiss ◽  
Volney Bitencourt ◽  
Cristina Bernardes
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Open Source ◽  
Sea Level ◽  
Open Source Software ◽  
Coastal Management ◽  
Geographic Information ◽  
Southern Brazil ◽  
Study Case

scholarly journals Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Carlos V. C. Weiss ◽  
Volney Bitencourt ◽  
Cristina Bernardes
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Open Source ◽  
Sea Level ◽  
Open Source Software ◽  
Coastal Management ◽  
Geographic Information ◽  
End Point Rate

This work assesses sea-level rise using three different models created on Free and Open-Source Software for Geographic Information System (FOSS4GIS). Based on regional projections of Special Report on Climate Change and Oceans and Cryosphere (SROCC) of the Intergovernmental Panel on Climate Change (IPCC), the models were applied to a case of study on Rio Grande do Sul coast – Brazil under different sea-level rise scenarios by the end of this century. The End Point Rate for QGIS (EPR4Q), calculates a shoreline projection using End Point Rate method. The Uncertainty Bathtub Model (uBTM), analyses the sea-level rise impact by the uncertainty of sea-level projec-tions and vertical error of the Digital Elevation/Terrain Model (DEM/DTM). The Bruun Rule for Google Earth Engine Model (BRGM) predicts the shoreline position with sea-level rise, using topographic and bathymetric data from Unmanned Aerial Vehicles (UAV) and Coastal Modelling System (SMC – Brazil), respectively. The results indicated a maximum shoreline retreat for 2100 of -502 m and -1727 m using EPR4Q and BRGM, correspondingly. The uBTM using the land-use of Mapbiomas showed a maximum of 44.57 km2 of urban area impacted by the sea-level flood. This research highlights the possibility of performing coastal management analysis in GIS environ-ment using non-commercial software.

scholarly journals Comparative analysis of QGIS plugins for Web Maps creation

La Granja ◽  
2021 ◽  
Vol 34 (2) ◽  
pp. 8-26
Author(s):  
Lia Duarte ◽  
Catarina Queirós ◽  
Ana Cláudia Teodoro
Keyword(s):  
Information System ◽  
Comparative Analysis ◽  
Geographic Information System ◽  
Open Source ◽  
Open Source Software ◽  
Geographic Information ◽  
Geospatial Data ◽  
Advantages And Disadvantages ◽  
Gis Software

QGIS is a free and open-source software that allows viewing, editing, and analyzing georeferenced data. It is a Geographic Information System (GIS) software composed by tools that allow to manipulate geographic information and consequently to create maps which help to get a better understanding and organization of geospatial data. Unfortunately, maps created directly in the GIS desktop software are not automatically transferred to a website. This research aimed to compare publishing capabilities in different QGIS plugins to create Web Maps. This study analyzes four QGIS plugins (QGIS2Web, QGIS Cloud, GIS Cloud Publisher and Mappia Publisher), performing a comparison between them, considering their advantages and disadvantages, the free and subscription plans, the tools offered by each plugin and other generic aspects. The four plugins were tested in a specific case study to automatically obtain different Web Maps. This study could help users to choose the most adequate tools to publish Web Maps under QGIS software.

scholarly journals Prediction of Tsunami Hazard Levels Based on GIS Analysis in South Bengkulu Regency

2020 ◽  
Vol 4 (9) ◽  
pp. 54-57
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Sea Level ◽  
Geographic Information ◽  
Tsunami Hazard ◽  
Gis Analysis ◽  
High Class ◽  
Hazard Levels ◽  
Very High

This study aimed at a prediction of tsunami hazard levels in South Bengkulu Regency, that is calculated based data on sea-level rise, distance from the coastline, distance from the nearest rivers, and beach slope. Measurement is carried out using Geographic Information System (GIS) analysis with overlay techniques and the methods of scoring/weighting. The results showed in South Bengkulu Regency the tsunami hazard levels of very high class 504.65 Km (44.8%), high class 160.77 Km (13.7%), somewhat high class 131.09 Km (11.2%), low class 64.92 Km (5.6 %) and very low class 250.39 Km (21.2%).

A Departmental Open Source Pipeline GIS

2006 ◽  
Author(s):  
Geoffrey R. Kneller
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
Setup Time ◽  
Geographic Information ◽  
Cost Estimating ◽  
Web Based ◽  
Gis Software

Geographic Information System (GIS) software has evolved to the point where it is extremely valuable to the planning, construction and operation of pipelines across a range of industries. Recently, GIS software of high quality has become freely available for use and modification under open source licensing schemes. This paper evaluates the utility of a geographic information system prepared using open source software for shared departmental use. Analysis includes areas such as functionality of the software, setup time, and total cost of ownership. The departmental focus is at a level concerned with pipeline planning and cost estimating. The full GIS package used for the analysis consists of a database, spatial data management software, and a web server providing web-based access to geomatic data suitable for a pipeline construction department. The utility of application programming interfaces provided through the GIS with open source software development tools is analysed in the form of a what-if economic comparison tool for pipeline route selection. The ability of the GIS to integrate data from other departmental systems is also examined. Final conclusions serve to aid pipeline GIS teams in determining if open source solutions are ready for widespread use.

ГЕОИНФОРМАЦИОННАЯ БАЗА ДАННЫХ ПО ОЦЕНКЕ МЕЛИОРАТИВНОГО СОСТОЯНИЯ ОРОШАЕМЫХ И ОСУШАЕМЫХ ЗЕМЕЛЬ ЮГА ЕВРОПЕЙСКОЙ ЧАСТИ РОССИИ

2020 ◽  
pp. 4
Author(s):  
A.A. Buber ◽  
E.L. Ratkovich ◽  
Y.A. Homutov
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Open Source ◽  
Water Use ◽  
Russian Federation ◽  
Geographic Information ◽  
Hydraulic Structures ◽  
Topographic Map ◽  
The Russian Federation

Для визуального отображения сведений о государственных гидромелиоративных системах, их составе, показателях, отдельно расположенных гидротехнических сооружениях и информации по использованию воды и сбросу загрязняющих веществ в исследуемых регионах, была использована общедоступная географическая информационная система с открытым кодом QGIS 3.4. ГИС-проект содержит: топографическую карту с нанесенными границами областей и векторные слои, включающие данные о гидромелиоративных системах, составе гидротехнических сооружений, показателям орошаемых и осушаемых земель и водопользованию по субъектам РФ 1,2,3.The open-source geographic information system QGIS 3.4 was used to visually display information about state hydro-reclamation systems, their composition, indicators, separately located hydraulic structures, and information on water use and discharge of pollutants in the study regions. The GIS project contains: a topographic map with the applied regions borders and vector layers, including data on hydro-reclamation systems, hydraulic structures composition, indicators of irrigated and drained lands and water use for the subjects of the Russian Federation.

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.

An open-source 3D solar radiation model integrated with a 3D Geographic Information System

2015 ◽  
Vol 64 ◽  
pp. 94-101 ◽  
Author(s):  
Jianming Liang ◽  
Jianhua Gong ◽  
Jieping Zhou ◽  
Abdoul Nasser Ibrahim ◽  
Ming Li
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Solar Radiation ◽  
Open Source ◽  
Geographic Information ◽  
Radiation Model ◽  
Solar Radiation Model
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