Database Engines for Geographical Information Systems

Our ability to identify, acquire, store, enquire on and analyse data is increasing as never before, especially in the GIS field. Technologies are becoming available to manage a wider variety of data and to make intelligent inferences on that data. The mainstream arrival of large-scale database engines is not far away. The experience of using the first such products tells us that they will radically change data management in the GIS field

Toward user oriented semantic geographical information systems

User Oriented Geographical Information Systems, a recent adaptation of classical GIS concepts to everyday usage, are becoming more and more present in the web landscape. Recent developments show the need of adding higher semantic levels to the existing frameworks, to improve their usage, as well as to ease scalability. We point out limits of actual examples, related to handling heterogeneous data, scalability issues, and expressiveness, and suggest a framework for building a Semantic User Oriented GIS. Notably this framework aims to address the peculiarities of the geographical space domain, and to offer a cognitively sound interface to the user

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/

An interactive learning environment in geographical information systems

The Unigis Learning Station is a computer‐based learning management tool for the Postgraduate Diploma in Geographical Information Systems by distance learning (correspondence). Unigis is an international network of universities co‐operating in the delivery of such courses. The students on Unigis courses are mature mid‐career professionals who study in addition to undertaking full time jobs. The Learning Station offers these students information about the course, resources for independent study, a structured set of exercises, assessments and feedback opportunities, and an integrated and easy way to interact with other course software. Following a brief introduction to the Unigis curriculum, this paper discusses the design of the Learning Station. The roles the Learning Station adopts are outlined, and the range of multimedia and communications tools used discussed. Evaluation of the Learning Station is presented and the issued raised by this provide useful lessons for other computer‐based learning management tools, and the adaptation of the Learning Station to other teaching and learning situations

GEOGRAPHICAL INFORMATION SYSTEMS USED IN BUSINESS ENVIRONMENT

Communities are constantly in competition with one another to attract businesses. New and better ways to market a community constantly go through experimentation. One tool that has come to the forefront is the use of a geographic information system (GIS). Lately, more and more communities are adopting this tool for land use planning and for economic development planning. Geographical Information Systems (GIS) are used for inputting, storing, managing, analyzing and mapping spatial data. This article consider the role of each function that a GIS can play in economics: map economic data with a spatial component; generate additional spatial data as inputs to statistical analysis; calculate distances between features of interest;define neighborhoods around objects;introducing new data.Geographical Information Systems map, asset management, suitability analysis

Cartography, geographical information systems and maps in perspective

CISRG discussion paper ;

Application of geographical information systems

Natural resources and environmental management of military lands is becoming increasingly complex and diverse. As military missions change and new equipment is fielded out training lands become increasingly more restricted due to environmental, logistical, and financial constraints. We must become better stewards of the land if we are going to continue to train troops to meet the next mission. GIS is a powerful tool for military trainers, environmentalists, and natural resource planners. This paper will discuss the applications of GIS in military training and environmental/ natural resources management. It will also discuss the use of map layers in the analysis of Endangered Species Habitats, Cultural Resource Surveys, Soils, cover types, wetlands, and others

Using geographical information systems for management of back-pain data

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2002 MCB UP LtdIn the medical world, statistical visualisation has largely been confined to the realm of relatively simple geographical applications. This remains the case, even though hospitals have been collecting spatial data relating to patients. In particular, hospitals have a wealth of back pain information, which includes pain drawings, usually detailing the spatial distribution and type of pain suffered by back-pain patients. Proposes several technological solutions, which permit data within back-pain datasets to be digitally linked to the pain drawings in order to provide methods of computer-based data management and analysis. In particular, proposes the use of geographical information systems (GIS), up till now a tool used mainly in the geographic and cartographic domains, to provide novel and powerful ways of visualising and managing back-pain data. A comparative evaluation of the proposed solutions shows that, although adding complexity and cost, the GIS-based solution is the one most appropriate for visualisation and analysis of back-pain datasets

Enhancing geographical information systems capabilities with multi-criteria evaluation functions

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