Integrating Research Data Management into Geographical Information Systems

Ocean modelling requires the production of high-fidelity computational meshes upon which to solve the equations of motion. The production of such meshes by hand is often infeasible, considering the complexity of the bathymetry and coastlines. The use of Geographical Information Systems (GIS) is therefore a key component to discretising the region of interest and producing a mesh appropriate to resolve the dynamics. However, all data associated with the production of a mesh must be provided in order to contribute to the overall recomputability of the subsequent simulation. This work presents the integration of research data management in QMesh, a tool for generating meshes using GIS. The tool uses the PyRDM library to provide a quick and easy way for scientists to publish meshes, and all data required to regenerate them, to persistent online repositories. These repositories are assigned unique identifiers to enable proper citation of the meshes in journal articles.Comment: Accepted, camera-ready version. To appear in the Proceedings of the 5th International Workshop on Semantic Digital Archives (http://sda2015.dke-research.de/), held in Pozna\'n, Poland on 18 September 2015 as part of the 19th International Conference on Theory and Practice of Digital Libraries (http://tpdl2015.info/

Employing Geographical Information Systems in Fisheries Management in the Mekong River: a case study of Lao PDR

The objective of this research is to employ Geographical Information Systems to fisheries management in the Mekong River Basin. The study uses artisanal fisheries practices in Khong district, Champasack province Lao PDR as a case study. The research focuses on integrating indigenous and scientific knowledge in fisheries management; how local communities use indigenous knowledge to access and manage their fish conservation zones; and the contribution of scientific knowledge to fishery co-management practices at village level. Specific attention is paid to how GIS can aid the integration of these two knowledge systems into a sustainable management system for fisheries resources. Fieldwork was conducted in three villages in the Khong district, Champasack province and Catch per Unit of Effort / hydro-acoustic data collected by the Living Aquatic Resources Research Centre was used to analyse and look at the differences and/or similarities between indigenous and scientific knowledge which can supplement each other and be used for small scale fisheries management. The results show that GIS has the potential not only for data storage and visualisation, but also as a tool to combine scientific and indigenous knowledge in digital maps. Integrating indigenous knowledge into a GIS framework can strengthen indigenous nowledge, from un processed data to information that scientists and decision-makers can easily access and use as a supplement to scientific knowledge in aquatic resource decision-making and planning across different levels. The results show that when scientific and indigenous knowledge are both stored digitally in GIS databases, a variety of analysis can be done. Multiple layers or visualising functions in ArcGIS are an example of ways in which indigenous and scientific knowledge can be combined in GIS. Maps of deep pools and important fishing grounds gathered using GPS and indigenous knowledge provide base maps of aquatic resources in the study area. The attribute table associated with the map links characteristics of each point, including fishing gear and species found in each pool as well as spawning grounds and migration periods. This information is useful for management and planning purposes. This research illustrates that mental maps and GIS digital maps can be used for fisheries management at different levels. Where mental maps are suitable for communicating with the local community and have the potential for use in fisheries co-management in small-scale fisheries; GIS may be appropriated for data storage and analysis at provincial and national levels, it can be used as a communication tool amongst stakeholders to monitor and understand the aquatic environment

Employing Geographical Information Systems in Fisheries Management in the Mekong River: a case study of Lao PDR

The objective of this research is to employ Geographical Information Systems to fisheries management in the Mekong River Basin. The study uses artisanal fisheries practices in Khong district, Champasack province Lao PDR as a case study. The research focuses on integrating indigenous and scientific knowledge in fisheries management; how local communities use indigenous knowledge to access and manage their fish conservation zones; and the contribution of scientific knowledge to fishery co-management practices at village level. Specific attention is paid to how GIS can aid the integration of these two knowledge systems into a sustainable management system for fisheries resources. Fieldwork was conducted in three villages in the Khong district, Champasack province and Catch per Unit of Effort / hydro-acoustic data collected by the Living Aquatic Resources Research Centre was used to analyse and look at the differences and/or similarities between indigenous and scientific knowledge which can supplement each other and be used for small scale fisheries management. The results show that GIS has the potential not only for data storage and visualisation, but also as a tool to combine scientific and indigenous knowledge in digital maps. Integrating indigenous knowledge into a GIS framework can strengthen indigenous nowledge, from un processed data to information that scientists and decision-makers can easily access and use as a supplement to scientific knowledge in aquatic resource decision-making and planning across different levels. The results show that when scientific and indigenous knowledge are both stored digitally in GIS databases, a variety of analysis can be done. Multiple layers or visualising functions in ArcGIS are an example of ways in which indigenous and scientific knowledge can be combined in GIS. Maps of deep pools and important fishing grounds gathered using GPS and indigenous knowledge provide base maps of aquatic resources in the study area. The attribute table associated with the map links characteristics of each point, including fishing gear and species found in each pool as well as spawning grounds and migration periods. This information is useful for management and planning purposes. This research illustrates that mental maps and GIS digital maps can be used for fisheries management at different levels. Where mental maps are suitable for communicating with the local community and have the potential for use in fisheries co-management in small-scale fisheries; GIS may be appropriated for data storage and analysis at provincial and national levels, it can be used as a communication tool amongst stakeholders to monitor and understand the aquatic environment

Enhancing geographical information systems capabilities with multi-criteria evaluation functions

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Smart Geographic object: Toward a new understanding of GIS Technology in Ubiquitous Computing

One of the fundamental aspects of ubiquitous computing is the instrumentation of the real world by smart devices. This instrumentation constitutes an opportunity to rethink the interactions between human beings and their environment on the one hand, and between the components of this environment on the other. In this paper we discuss what this understanding of ubiquitous computing can bring to geographic science and particularly to GIS technology. Our main idea is the instrumentation of the geographic environment through the instrumentation of geographic objects composing it. And then investigate how this instrumentation can meet the current limitations of GIS technology, and offers a new stage of rapprochement between the earth and its abstraction. As result, the current research work proposes a new concept we named Smart Geographic Object SGO. The latter is a convergence point between the smart objects and geographic objects, two concepts appertaining respectively to

Spatial optimization for land use allocation: accounting for sustainability concerns

Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographical information system and spatial optimization in meaningful ways if efficiency goals and objectives are to be achieved. This article reviews spatial optimization approaches that have been relied upon to support land-use planning. Characteristics of sustainable land use, particularly compactness, contiguity, and compatibility, are discussed and how spatial optimization techniques have addressed these characteristics are detailed. In particular, objectives and constraints in spatial optimization approaches are examined

Human Dimensions of Marine Fisheries: Using GIS to Illustrate Land-Sea Connections in the Northeast U.S. Herring, Clupea harengus, Fishery

Geographic Information Systems can help improve ocean literacy and inform our understanding of the human dimensions of marine resource use. This paper describes a pilot project where GIS is used to illustrate the connections between fish stocks and the social, cultural, and economic components of the fishery on land. This method of presenting and merging qualitative and quantitative data represents a new approach to assist fishery managers, participants, policy-makers, and other stakeholders in visualizing an often confusing and poorly understood web of interactions. The Atlantic herring fishery serves as a case study and maps from this pilot project are presented and methods reviewed

Managed ecosystems of networked objects

Small embedded devices such as sensors and actuators will become the cornerstone of the Future Internet. To this end, generic, open and secure communication and service platforms are needed in order to be able to exploit the new business opportunities these devices bring. In this paper, we evaluate the current efforts to integrate sensors and actuators into the Internet and identify the limitations at the level of cooperation of these Internet-connected objects and the possible intelligence at the end points. As a solution, we propose the concept of Managed Ecosystem of Networked Objects, which aims to create a smart network architecture for groups of Internet-connected objects by combining network virtualization and clean-slate end-to-end protocol design. The concept maps to many real-life scenarios and should empower application developers to use sensor data in an easy and natural way. At the same time, the concept introduces many new challenging research problems, but their realization could offer a meaningful contribution to the realization of the Internet of Things

BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer

For decades, geographical variations in cancer rates have been observed but the precise determinants of such geographic differences in breast cancer development are unclear. Various statistical models have been proposed. Applications of these models, however, require that the data be assembled from a variety of sources, converted into the statistical models’ parameters and delivered effectively to researchers and policy makers. A web-enabled and GIS-based system can be developed to provide the needed functionality. This article overviews the conceptual web-enabled and GIS-based system (BCAS), illustrates the system’s use in diagnosing and treating breast cancer and examines the potential benefits and implications for breast cancer research and practice