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  • 1.
    Abugessaisa, Imad
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Benchmarking Road Safety Situations Using OGC Model of Portrayal Workflow2005In: Proceedings of the 13th International Conference on Geoinformatics (GeoInformatics’5), 17-19 August, Toronto, Canada: Ryerson University, 2005Conference paper (Other academic)
  • 2.
    Abugessaisa, Imad
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    ICT in regional networks in the field of culture and development cooperation in 15th Americas Conference on Information Systems 2009, AMCIS 2009, vol 4, issue , pp 2667-26742009In: AMCIS 2009 Proceedings, 15th Americas Conference on Information Systems 2009,, 2009, Vol. 4, p. 2667-2674Conference paper (Refereed)
    Abstract [en]

    This paper presents results from a mapping study commissioned by Swedish International Development Agency (Sida), which has supported regional and global networking within the field of culture. The mapping study was carried out in East Africa to find ways to collect and use experiences already made and to draw conclusions on the status and use of ICT in the culture networks supported by Sida. Another goal was to gain an understanding of the level to which ICT is used within the cultural sectors in East Africa. The study was focused on two main cultural sectors - museums and drama/theatre. A variety of research methods were used. It was found that there were well-established culture networks in both theatre and museum sectors. Through these networks, ICT has been used for sharing knowledge as well as being a tool for communication. Also it has supported dialogue among many different culture groups in the region. © (2009) by the AIS/ICIS Administrative Office All rights reserved.

  • 3.
    Abugessaisa, Imad
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Ontological Approach to Modeling Information Systems2004In: Proceedings of the Fourth International Conference on Computer and information Technology (Cit'04), 14–16 September, Wuhan, China: IEEE Computer Society, Washington, DC, 2004, p. 1122-1127Conference paper (Other academic)
    Abstract [en]

    In recent years, the use of formal tools in information system modeling and development represents a potential area of research in computer science. In 1967, the term ontology appeared for the first time in computer science literature as S. H. Mealy introduced it as a basic foundation in data modeling. The main objective of this paper is to discuss the concept of ontology (from a philosophical perspective) as it was used to bridge the gap between philosophy and information systems science, and to investigate ontology types that can be found during ontological investigation and the methods used in the investigation process. The secondary objective of this paper is to study different design and engineering approaches of ontology as well as development environments that are used to create and edit ontologies.

  • 4.
    Abugessaisa, Imad
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Le Duc, Michael
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    A Systemic View on Swedish Traffic Accident Data Acquisition System2007In: Proceedings of the 14th International Conference on Road Safety on Four Continents (RS4C), 14-16 November, Bangkok, Thailand, Sweden: VTI , 2007, p. 1-12Conference paper (Refereed)
    Abstract [en]

    This paper presents work in progress to study information sharing among road safety organizations. The focus is to study accident data acquisition system. In 2002, Swedish Road Transport authority (SRT) has accepted STRADA as accident reporting system to be used by the police all over Sweden. Such system is vital for coordinating, maintaining and auditing road safety in the country. Normally road accidents are reported by the police or by Emergency unit at the hospital. However more than 50% of the hospitals in Sweden didn’t use the system which decrease the utilization of the system and reduce the quality of the information that demanded. By using system thinking approach in this study we try to see why such situation is occurred and how changes can be introduced and handle to overcome such problem. Interviews conducted with focus group and different users of the system. To investigate the issues related to the acceptance of the system we use Technology Acceptance Model (TAM). We recommend getting the user involved in the life cycle of the STRADA and also the developers could use enabling system to overcome problems in related to system usability and complexity. Also we suggest the use of iterative development to govern the life cycle.

  • 5.
    Abugessaisa, Imad
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Le Duc, Michael
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    GLOBESAFE: A Platform for Information-Sharing Among Road Safety Organizations2007In: IFIP-W.G. 9th International Conference on Social Implications of Computers in Developing Countries: May 2007, São Paulo, Brazil, 2007, p. 1-10Conference paper (Refereed)
  • 6.
    Abugessaisa, Imad
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS. Linköping University, The Institute of Technology.
    Le Duc, Michael
    Linköping University, Department of Computer and Information Science, GIS. Linköping University, The Institute of Technology.
    Map as Interface for Shared Information: A Study of Design Principles and User Interaction Satisfaction2006In: IADIS International Conference WWW/Internet 2006: Murcia, Spain, 2006, p. 377-384Conference paper (Refereed)
  • 7.
    Dulanya, Zuze
    et al.
    Department of Geography and Earth Science, Zomba, Malawi .
    Simfors, Nury
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Comparative study of the silica and cation geothermometry of the Malawi hot springs: Potential alternative energy source2010In: JOURNAL OF AFRICAN EARTH SCIENCES, ISSN 1464-343X, Vol. 57, no 4, p. 321-327Article in journal (Refereed)
    Abstract [en]

    Malawi is one of the poorest countries in the world and one of the most densely populated in south-eastern Africa. Its major power source is hydro-electricity. During the past few years, the power generation capacity has been reduced, which has impacted negatively on the socio-economic development of the country. The country holds an enormous potential to generate geothermal energy due to the countrys position within the Great African Rift valley. This could contribute to economic growth, poverty reduction and technological development in Malawi. The paper presents findings of research on comparisons between silica (quartz and chalcedony) and cation geothermometers (Na-K, Na-K-Ca and K-Mg) of hot springs in the Malawi Rift, in order to deduce the temperature at depth of selected hot springs. The saturation indices of most springs have a bearing on the geology of the areas where these hot springs are found. The Na-K geothermometers are, in general, higher than the Na-K-Ca geothermometer and the K-Mg geothermometer shows temperatures that are too low to be considered. The difference in the results between the different geothermometers may indicate shallow conditions of mixing with ground-water. Results also indicate that some hot springs have sufficient heat-generating capabilities and warrant further exploration work to assess their suitability for energy generation.

  • 8.
    Gustafsson, Torbjörn
    et al.
    FOI.
    Carleberg, Per
    FOI.
    Nilsson, Susanna
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Svensson, Pär
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    LeDuc, Michael
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Mixed Reality för tekniskt stöd2004Report (Other academic)
  • 9.
    Gustafsson, Torbjörn
    et al.
    FOI.
    Carleberg, Per
    FOI.
    Svensson, Pär
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Nilsson, Susanna
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Mixed Reality Systems for Technical Maintenance and Gaze-Controlled Interaction2005Report (Other academic)
  • 10.
    Kohli, Sunil
    et al.
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Sahlén, K.
    Linköping University, Faculty of Health Sciences.
    Löfman, Owe
    Linköping University, Faculty of Health Sciences.
    Sivertun, Åke
    Linköping University, Faculty of Health Sciences.
    Foldevi, Mats
    Linköping University, Department of Department of Health and Society, General Practice. Linköping University, Faculty of Health Sciences.
    Trell, Erik
    Linköping University, Department of Department of Health and Society, General Practice. Linköping University, Faculty of Health Sciences.
    Wigertz, Ove
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Individuals living in areas with high background radon: a GIS method to identify populations at risk1997In: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 53, no 2, p. 105-112Article in journal (Refereed)
    Abstract [en]

    Objective: to identify and link populations and individuals that live within high risk areas. Design: census registers and disease registers which contain data on individuals can only give aggregate statistics relating to postal code districts, town, county or state boundaries. However environmental risk factors rarely, if ever, respect these man-made boundaries. What is needed is a method to rapidly identify individuals who may live within a described area or region and to further identify the disease(s) occurring among these individuals and/or in these areas. Method: this paper describes a method for linking the standard registers available in Sweden, notably the residence-property addresses they contain and the geographical coordinate setting of these, to map the population as a point coverage. Using standard GIS methods this coverage could be linked, merged or intersected with any other map to create new subsets of population. Representation of populations down to the individual level by automatised spatialisation of available census data is in its simplicity a new informatics method which in the designated GIS medium adds a new power of resolution. Results: we demonstrate this using the radon maps provided by the local communes. The Swedish annual population registration records of 1991 for the county ofÖstergötland and the property register available at the Central Statistical Bureau of Sweden formed the main data sources. By coupling the address in the population register to the property register each individual was mapped to the centroid of a property. By intersecting the population coverage with the radon maps, the population living in high, normal or low risk areas was identified and then analysed and stratified by commune, sex and age. The resulting tables can be linked to other databases, e.g. disease registers, to visualise and analyse geographical and related patterns. The methodology can be adapted for use with any other environmental map or small area. It can also be expanded to the fourth dimension by linking likewise available migration information to generate immediately coordinate-set, accumulated exposition and similar data.

  • 11.
    Kohli, Sunil
    et al.
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Sahlén, K.
    Sivertun, Åke
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Löfman, Owe
    Linköping University, Department of Department of Health and Society. Linköping University, Faculty of Health Sciences.
    Trell, Erik
    Linköping University, Department of Department of Health and Society, General Practice. Linköping University, Faculty of Health Sciences.
    Wigertz, Ove
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Distance from the primary health center: a GIS method to study geographical access to health care1995In: Journal of medical systems, ISSN 0148-5598, E-ISSN 1573-689X, Vol. 19, no 6, p. 425-436Article in journal (Refereed)
    Abstract [en]

    Aerial distance from the dependent Primary Health Center is a crude but objective measure of geographical accessibility to Primary Health care facilities. This report describes a method for calculation of distances between the PHC and the population it serves using the data available from the local health authorities and the Swedish Central Statistical Bureau. The Swedish annual population registration records of 1991 and the property register available with the Central Statistical Bureau of Sweden formed the main data sources. By coupling the address in the population register to the property register each individual was mapped to the centroid of a property. The location of the PHCs as well as the areas covered by each were obtained from the local health authorities and mapped. By intersecting the population coverage with the PHC coverage the population for each PHC area was identified. Subsequently the distance to the PHC was calculated for each individual (property centroid). The population maps so generated can be linked to other databases to visualize and analyze the spatial dimension of health and disease. The methodology can be adapted for use with postal code districts, census enumeration tracts, or any other small area.

  • 12.
    Nilsson, Susanna
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Trnka, Jiri
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    LeDuc, Michael
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Aspects of GI and GIS Use in Pre-and Post-flooding Phases of Swedish Emergency Management - a case study2005In: European Safety, Reliability Data Association Seminar,2005, Ispra, Italy: Joint Research Centre , 2005, p. 213-Conference paper (Refereed)
    Abstract [en]

    In this paper the present role of geographic information (GI) and geographic information systems (GIS) in flood emergency management (EM) is investigated. A case study method is used to study pre- and post-flooding phases of EM in two Swedish municipalities. The results indicate apparent ontological and semantic differences between the involved decision-makers on what constitutes important problems and on what type of information is relevant. Furthermore, knowledge of GI and GIS was also found differing between the decision-makers. Organizational, conceptual, ontological, and semantic problems were identified as essential for GI and GIS utilization. Concerning the increasing role of GI and GIS in EM, further research on the studied problems is necessary as their elimination or at least minimization is a prerequisite for introducing a mature GIS in flood EM.

  • 13. Porathe, Thomas
    et al.
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Information Design for a 3D Nautical Navigational Visualization System2002In: Workshop on Visual Computing,2002, 2002Conference paper (Other academic)
    Abstract [en]

    The three-dimensional geo database is used as a temporal and dynamic decision support on the bridge. The intention being to collect all crucial navigational information into one display directly in front of the Officer of the Watch (OOW). With the camera positioned by GPS-data in the 3D-model the display provides a direct comparison with the out-of-window-view. Thus serving as a dynamic perspective view of the same type as the static views supplied of important entrances in pilot books. Navigational information such as names of islands, borders of the navigational channels, speed limits, lighthouse characters etc. can be displayed on the screen. In this way making it unnecessary to paint the names of islands directly on the rock, as the Russian navy did in the 1800-hundreds in frustration over the difficulty of navigating in the complicated Finnish archipelago. (Collinder, 1943) But also the changing view of coast and archipelago due to the rise and fall of the tide can be displayed. Thus making it possible to conduct daylight navigation at night or in restricted visibility.

  • 14.
    Porathe, Thomas
    et al.
    IDP Mälardalen University.
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Real-time 3D Nautical Navigational Visualisatione2002In: Massive Military Data Fusion and Visualisation,2002, 2002Conference paper (Other academic)
    Abstract [en]

    This paper presents a research project suggesting the use of real-time 3D techniques normally used in simulation environments as a navigation aid onboard ships. Based on a three-dimensional geographical database the surrounding world is presented in a -bridge-eye perspective- with navigational information such as own track, other ships in the vicinity and their tracks, water depth and radar echoes integrated in a single display. The integrated display suggested, acts as a complement to traditional electronic charts. The main objective is to lessen the cognitive load of the bridge personal and particularly the helms man in hand steering situations in high-speeds.

  • 15.
    Porathe, Thomas
    et al.
    Mälardalen University, Eskistuna.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Real-Time 3D Nautical Navigational Visualization2002In: In -036/RWS-005, Massive Military Data Fusion and Visualisation: Halden, Norway, 2002Conference paper (Other academic)
  • 16. Roy, Chandan
    et al.
    Kovordanyi, Rita
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory.
    Ahmed, Raquib
    Gumos, Alexander
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Cyclone Tracking and Forecasting in Bangladesh Using Satellite Images without Supplementary Data2006In: NordGIS 2006,2006, 2006Conference paper (Refereed)
    Abstract [en]

    The cost of Bangladesh is extremely exposed to tropical cyclones because of its long costal line containing shallow deltas and densely populated offshore islands. This entails that tropical cyclones will have a particularly severe impact causing high fatality mostly among the poor people on the costal region. In spite of regular attack of devastating cyclones in Bangladesh coast, it-s impact on human lives as well as infrastructure and natural resources have been reduced considerably. The damage reduction reached at a level which is now difficult to down further because of two reasons. First is the insufficient information for early preparedness and second is the ineffective after-cyclone damage restoration system. It is therefore especially important in this part of the world that cyclones can be predicted well in advance before landfall. Normally, cyclone tracking and forecasting is based on satellite images supplemented with data collected using floating buoys, naval ships, dropsondes, airplanes carrying a wide range of active and passive sensors. In Bangladesh however, there is a lack of supplementary data. Meteorologists in Bangladesh are therefore forced to rely on satellite images only (NOAA-AVHRR). The aim of this project is to assess the informational contents of satellite images and identify their limitations in forecasting tropical cyclones. A first step in the project is to assess to what extent current models used for forecasting around the world are dependent on supplementary data, and on the other hand to what extent they could be used to predict tropical cyclones using satellite images only.

  • 17.
    Salih, Isam
    et al.
    Linköping University, Department of Medicine and Health Sciences, Radiation Physics . Linköping University, Faculty of Health Sciences.
    Pettersson, Håkan
    Linköping University, Department of Medicine and Health Sciences, Radiation Physics . Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre of Surgery and Oncology, Department of Radiation Physics.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Lund, Eva
    Linköping University, Department of Medicine and Health Sciences, Radiation Physics . Linköping University, Faculty of Health Sciences.
    Spatial correlation between radon (222Rn) in groundwater and bedrock uranium (238U): GIS and geostatistical analyses2002In: Journal of Spatial Hydrology, ISSN 1530-4736, Vol. 2, no 2, p. 1-10Article in journal (Refereed)
    Abstract [en]

    This study describes approaches to create surface maps of radon in groundwater based on measurements of radon (222Rn) in drilled bedrock wells at unevenly distributed sites and uranium bedrock maps from the South East of Sweden, the Östergotland county (N 58°14’ – N 58°56’and E 14°53’ – E 16°06’), see figure 1. Geostatistical techniques of inverse distance weighted(IDW), kriging and cokriging were compared in terms of their interpolation power and correlation between the produced radon in the water layer and the bedrock uranium layer. The goal of these analyses and calculations is to improve our understanding concerning the factors influencing the transport of radon. Therefore, these interpolation techniques were investigated by optimizing parameters that are used in the specific interpolation. Using the IDW interpolator method at fixed radius enabled us to determine the linkage or search distances for auto correlation, and linkage between radon in water and bedrock. This method showed good agreement with the cokriging method when using uranium concentration as a secondary variable. Good interpolation layers (with least root mean square errors RMSE=232) were obtained by kriging. However, the kriged radon surface showed poor correlation with bedrock uranium layers. The best radon in waterlayer that match with uranium in bedrock layer was produced using IDW interpolator (RMSE=377, using all points). The correlation coefficient (R2) is 0.5 while for the kriging method the best correlation is R2 = 0.1. A compromise between the two approaches is demonstrated.

  • 18.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Access to Geographic Information and Participatory Approaches in Using Geographic Information2002In: Proceeding to ESF/NSF meeting in Spoleto Italy Dec 5-9 2001 and Special Issue: URISA Journal 2002 (submitted), 2002Conference paper (Refereed)
  • 19.
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Professional training as a resource in education2002In: Proceedings at the AGILE conference Palma de Mallorca April 2002, 2002Conference paper (Other academic)
  • 20.
    Sivertun, Åke
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Prange, Lars
    Non-point source critical area analysis in the Gissel÷ watershed using GIS2003In: Environmental Modelling & Software, ISSN 1364-8152, E-ISSN 1873-6726, Vol. 18, no 10, p. 887-898Article in journal (Refereed)
    Abstract [en]

    In the southeast in Norrk÷ping, Sweden, is a small fjord-like bay called SlΣtbaken. The water quality in SlΣtbaken - with its narrow outlet to the Baltic Sea - depends highly on the water quality of the streams that flow in it. While point pollution sources can be identified easily in general, the non-point sources are harder to find. The most important sources for non-point pollution are agricultural areas, and the pollutants are mostly nutrients like phosphorus, which come from the fertilisation of the fields. One important catchment area for SlΣtbaken is the 57.7 km2 Gissel÷ river basin (part of the topographic map 8GNO), which contains large agricultural areas. The transport of water pollutants is based on the same hydrological processes as erosion and sediment transport. The implementation of such a model in a GIS allows the analysis of a large area with a high resolution. When choosing the model, special attention was paid to the possibility of using a verified model that is easy to implement in a commercial GIS without the need of too much expert knowledge. This may allow its widespread use in many administrative applications that need non-point source information. A feasibility test for an enhanced GIS USLE model was done in the Gissel÷ drainage basin before it was implemented for all river basins in the whole administrative area of Norrk÷pings kommun. It is possible to use the suggested simplified USLE model to estimate the load of both pollutants and sediments, and it is able to show the areas that are critical for the water quality at the outlet of the water basin. The model has been evaluated in three studies [Int. J. Geogr. Inf. Syst. 2 (4) (1988) 365, A GIS to target critical areas for non point source management, in: Proceedings of the International Non Point Source Management Symposium, Austin, TX, November 7, 1989, Vatten 48 (1992) 117]. Then, implemented in a very simple GIS that allowed only rough estimates of terrain models and distances, the model was able to estimate the total suspended solids (TSS) and total phosphorus (TP) loads in the Svartσ river basin of 1539 km2 in the same region as Gissel÷ and the Bornsj÷ river basin outside Stockholm. Besides an estimated R2 of 0.91-0.98 (verified by a more than one year measurement from manual and automated sampling stations in the whole river basin), the benefit with the GIS implemented USLE was the possibility to identify the risk areas with high spatial accuracy. During the last decade, both available databases and software have changed the possibilities to identify areas at risk of nutrient leakage. Schein [GIS Methods for Monitoring Sustainable Development by Analysis of Land-use and Land Cover Changes in the Surroundings of Link÷ping (Sweden), Institut fⁿr Photogrammetrie und Fernerkundung, Technische UniversitΣt Dresden, Germany] and Schein and Sivertun [Method and models for sustainable development monitoring and analyses in GIS, in: Proceedings of the International Workshop on Geo-Spatial Knowledge Processing for Natural Resource Management, University of Insubria, Varese, Italy, June 28-29, 2001] show that the enhanced land use data available through the European Union agricultural support program can be used together with remote sensing data to fine tune the modified GIS USLE model. The problems with the new 50 x 50 m digital elevation data now available are also pointed out here. Obvious errors in the data and possibilities to enhance the model by introducing a better terrain model were two important suggestions in these works. In this article, two modifications to the original model are suggested. One is enhancement of the digital terrain model by using height curves from the digital 1:50 000 scale topographic map, and the other is a smooth distance function that better reflects the impact of nutrients on water bodies. Because of its easy implementation on standard low cost systems, the GIS USLE model is suitable for analysing huge areas for critical places. The results can lead to more detailed studies in the risk areas thus identified or to investigations on the effect of land use changes, or can be used simply for taking care in the use of fertilisers and other chemicals in the critical agricultural areas.

  • 21.
    Sivertun, Åke
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Trnka, Jiri
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Information i kris och stora påfrestningar?2003In: VR-Forum: Kris och stora påfrestningar,2003, 2003Conference paper (Other academic)
  • 22.
    Trnka, Jiri
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Le Duc, Michael
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Inter-organizational Issues in ICT, GIS and GSD - Mapping Swedish Emergency Management at the Local and Regional Level2005In: Proceedings of the 2nd International Conference on Information Systems for Crisis Response and Management (ISCRAM) / [ed] Van de Walle, B. & Carlé, B., Tilburg, Netherlands: Tilburg University , 2005, p. 75-82Conference paper (Refereed)
    Abstract [en]

    Inter-organizational issues are very challenging in emergency management (EM). In this paper, aspects of information and communication technologies (ICT), geographical information systems (GIS) and geospatial data (GSD) in the Swedish EM system, an EM system involving a large number of EM organizations, are reported based on a case study. The issues concerned include separated ICT & GIS development between organizations and formation of technological coalitions, problems of identification and access of GSD, located through the large number organizations, as well as uncoordinated launching of web-based GIS service. Possible implications of this situation for command and control are discussed. Additionally, areas for further research are suggested.

  • 23.
    Trnka, Jiri
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Le Duc, Michael
    Sivertun, Åke
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Utilization and Exchange of Geospatial Data in Swedish Emergency Management2005In: ScanGIS' 2005: proceedings of the 10th Scandinavian Research Conference on Geographical Information Sciences / [ed] H. Hauska & H. Tveite, Stockholm, Sweden: Universitetsservice US AB , 2005, p. 53-62Conference paper (Refereed)
    Abstract [en]

    In this paper, research investigating the current situation with respect to geospatial data (GSD) access and integration at the interorganizational level in Swedish local and regional emergency management (EM) is presented. The performed analysis resulted in a range of conceptual, organizational, administrative and ontological problems, recognized by the international research community and also identified among the studied Swedish EM organizations. Additionally, close interconnection between particular problems or groups of problems was observed in several cases. The documented findings can be seen as hindering the sharing of GSD. Moreover, development of useful GIS-based analytical and decision-support applications for day-to-day use in EM is becoming difficult without effectively sharing GSD. It is suggested to promote further research in an integrated way to understand the full complexity of the problems. Moreover, involving both the research and EM communities is seen as essential.

  • 24.
    Trnka, Jiri
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    Sivertun, Åke
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group.
    GIS in emergency management as a core information system and related new requirements to emergency telecommunication2002In: Emergency Telecommunication Workshop,2002, 2002Conference paper (Other academic)
1 - 24 of 24
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