Advancing Global Marine Biogeography Research with Open‐source GIS Software and Cloud Computing

Fujioka, Ei; Berghe, E. Vanden; Donnelly, Ben; Castillo, Julio; Cleary, Jesse; Holmes, Chris; McKnight, Sean; Halpin, Patrick N.

doi:10.1111/j.1467-9671.2012.01310.x

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…Zlateva et al [93] used the Cloud infrastructure to perform risk assessment of the natural disasters using a joint application of fuzzy logic models and an actuarial model. Various biodiversity indices at different resolutions were calculated using the marine life data in the system developed by Fujioka et al [108]. VirtualFire [38] computed fire ignition probability for identification of high-risk areas.…”

Section: Cloud Infrastructurementioning

confidence: 99%

“…Alazawi et al [99] made use of interactive maps to visualize the optimized plan for smooth evacuation and better flow of traffic during the events of disasters. Fujioka et al [108] used a mapping engine powered by GeoServer 2.1 to interactively visualize the search results obtained from the marine life census system maintained over the Clouds. Eriksson et al [87] facilitated the visualization of simulation results through a simple easy-touse GUI interface enabled with mapping service in the Cloud-based simulator built for pandemic influenza.…”

Section: Visualizationmentioning

confidence: 99%

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Cloud Computing in natural hazard modeling systems: Current research trends and future directions

Garg

Hilton

et al. 2019

International Journal of Disaster Risk Reduction

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Every year, natural disasters cause major loss of human life, damage to infrastructure and significant economic impact on the areas involved. Geospatial Scientists aim to help in mitigating or managing such hazards by computational modeling of these complex events, while Information Communication Technology (ICT) supports the execution of various models addressing different aspects of disaster management. The execution of natural hazard models using traditional ICT foundations is not possible in a timely manner due to the complex nature of the models, the need for large-scale computational resources as well as intensive data and concurrent-access requirements. Cloud Computing can address these challenges with near-unlimited capacity for computation, storage and networking, and the ability to offer natural hazard modeling systems as end services has now become more realistic than ever. However, researchers face several challenges in adopting and utilizing Cloud Computing technologies in this area. Moreover, accessing the Cloud services during the disaster where the communication and power supply can break down, is still an open challenge. As such, this survey paper discusses these challenges, needs and existing problems to reflect the current research trends and outlines a conceptual Cloud-based solution framework for more effective natural hazards modeling and management systems using Cloud infrastructure in conjunction with other technologies such as Internet of Things(IoT) networks, fog and edge computing. We draw a clear picture of the current research state in the area and suggest further research directions for future systems.

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Section: Cloud Infrastructurementioning

confidence: 99%

Section: Visualizationmentioning

confidence: 99%

Cloud Computing in natural hazard modeling systems: Current research trends and future directions

Garg

Hilton

et al. 2019

International Journal of Disaster Risk Reduction

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“…Xiantao Li from Zhejiang University in China put forward a network three-dimensional visualization system of marine information under the open source stack [12] . Ei Fujioka et al work on advancing global marine biogeography research with open-source GIS software and cloud computing [13] . However, it's hard to find researches on marine oil spill with open source GIS.…”

Section: B Previous Related Workmentioning

confidence: 99%

Research on the Open Source GIS Development Oriented to Marine Oil Spill Application

Wang¹,

Liu²,

Xu³

et al. 2014

JSW

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With the frequent occurrence of marine oil spill and the serious environmental pollution as well as enormous economic losses it causes, there is a growing demand for oil spill emergency response. It becomes a trend to research on spatial information analysis and publishing based on GIS. Compared with the expensive and system-huge commercial software, open source platform which is free and small-scale is becoming a new choice. This article develops the marine oil spill monitoring information analysis & publishing system based on DotSpatial, the upgrade version of the open-source .NET development of component library. In this system, the monitoring information of oil spill is visualized, rendered, analyzed and finally published on the web. However open source GIS is functionally limited and instable. DotSpatial can not read the spatial information of RS images well and the mapping module is unstable. This article solves some technical problems. For example, the spatial data is processed such as re-projected via GDAL to match the images layers with the vector layers. Vector oil spots data is generated and rendered, and the major axis and minor axis are drawn. Moreover the map extent to output can be determined by dragging a rectangle using GDI+, and the decorating of the map to putout is also improved. By adopting several developing methods comprehensively, this paper researches on the marine oil spill application oriented system development based on open source GIS. It provides references for other similar system researches and developments of spatial information expression and analysis.

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“…To our knowledge, however, there is no framework to facilitate such dynamic assessments of biodiversity in the high seas and incorporate the outcomes from the assessments into marine spatial planning, although there are several online biogeographic databases providing static maps of biodiversity (e.g. OBIS; Fujioka et al 2012).…”

Section: What Is Needed To Assess Biodiversity In the High Seas?mentioning

confidence: 99%

Spatio-temporal assessments of biodiversity in the high seas

Fujioka¹,

Halpin²

2014

Endang. Species. Res.

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Biological diversity is one of the most important measures for marine conservation in the high seas. However, data and tools to assess and quantify biodiversity in the high seas are still not well developed. This hinders the development of the open-access tools necessary to assess biodiversity across space and time. Here, we examine prototype online mapping and visualization tools we developed within the OBIS-SEAMAP data center, a thematic node of the Ocean Biogeographic Information System (OBIS) specializing in marine mammal, seabird and sea turtle observations, to facilitate spatiotemporal assessments of biodiversity in the high seas. Our aims are to (1) summarize basic data needs for assessing biodiversity issues in the high seas; (2) discuss technical challenges to address such needs and establish a publicly accessible framework for biodiversity assessments; and (3) demonstrate how our prototype framework facilitates these assessments using a preliminary case study. We anticipate that this will serve as a model for marine researchers and managers to develop similar frameworks or improve the existing ones for ecological assessments. Of special importance is the application of these assessment tools to emerging high seas biodiversity identification processes such as the UN Convention on Biological Diversity, Ecologically or Biologically Significant Marine Areas.

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Advancing Global Marine Biogeography Research with Open‐source GIS Software and Cloud Computing

Cited by 12 publications

References 29 publications

Cloud Computing in natural hazard modeling systems: Current research trends and future directions

Cloud Computing in natural hazard modeling systems: Current research trends and future directions

Research on the Open Source GIS Development Oriented to Marine Oil Spill Application

Spatio-temporal assessments of biodiversity in the high seas

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