Publications of Jean-Paul Donnay
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See detailMECOSIG adapted to the design of distributed GIS
Pasquasy, Fabien; Laplanche, François; Sainte, Jean-Christophe et al

in Lecture Notes in Computer Science (2005), 3762

For more than ten years MECOSIG has been used as a method for GIS design and implementation in various national and international projects achieved in our laboratory. During a decade, the method has been ... [more ▼]

For more than ten years MECOSIG has been used as a method for GIS design and implementation in various national and international projects achieved in our laboratory. During a decade, the method has been progressively improved and extended without modification of its basic principles. However the emergence of distributed GIS, implying several organizations capable to play various roles, requires the reappraisal of the methodology. New concerns are identified and a collection of new tools must be deployed. Taking the most of various recent researches completed for public authorities in Belgium, this paper presents some significant adaptations of the original MECOSIG method in order to cope with a distributed GIS environment. [less ▲]

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See detailHow to introduce "Geography" into databases?
Donnay, Jean-Paul ULiege

Scientific conference (2004, April 21)

Form and content of spatial data. Geographic versus cartographic data? Software solutions: mapping software, Desktop GIS, Enterprise GIS. Database models: Flat relational, Spatial-enabled database ... [more ▼]

Form and content of spatial data. Geographic versus cartographic data? Software solutions: mapping software, Desktop GIS, Enterprise GIS. Database models: Flat relational, Spatial-enabled database. Required standards. GIS architecture today. [less ▲]

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See detailLa cartographie et la géomatique
Donnay, Jean-Paul ULiege

in Bulletin de la Société Géographique de Liège (2003), 43

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See detailGéographie et science de l’information géographique
Donnay, Jean-Paul ULiege

in Quelle géographie enseigner demain à l’Université ? (2003)

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See detailUrban use of VHR images on Bukavu (Democratic Republic of Congo)
Binard, Marc ULiege; De Man, J.; Séba, G. et al

in Proceedings of the Second Workshop of the EARSeL Special Interest Group on Remote Sensing for Developing Countries, Bonn, Germany September 18-20, 2002. EARSeL: Paris, France. (2003)

The main purpose of this study was to show potential uses of very high resolution (VHR) image in an urban analysis of Bukavu in the Democratic Republic of Congo. As for many of the Third-World cities ... [more ▼]

The main purpose of this study was to show potential uses of very high resolution (VHR) image in an urban analysis of Bukavu in the Democratic Republic of Congo. As for many of the Third-World cities, Bukavu grew up during the last decades and available topographical information on Bukavu dates back to the middle of the twentieth century. This lack of updated information can be compensated by an appropriate use of VHR images. In this study, IKONOS image recorded on the 14th February 2001 was used. Image registration are highly dependant on accurate Digital Elevation Models (DEM), these last ones are also useful in urban analyses. The range between the minimum and maximum altitudes observed in the image was more than 500 meters. Furthermore, the viewing inclination angle is more than 28 degrees. In this case, orthorectification is mandatory for correcting relief displacements. Nevertheless, the lack of good Ground Control Points (GPS’s) on the old topographic maps and the failure to collect field verification data in Bukavu explains the remaining global 2D RMSE of 10 meters. For easier image interpretation, multispectral (4m) and panchromatic (1m) images were fused together by means of the LMVM algorithm. Depending on the object, the Computer Aided Photo Interpretation (CAPI) uses or does not use the near infrared information (true or false colour composite). For a more detailed interpretation about the city morphology we draped the 1m multispectral fused image over the 1m resolution DEM grid. The Built-up Area Index (BAI) computed on the urban mask obtained by CAPI and classification of the vegetation, was compared with the 1954 situation interpreted from topographic maps. The present city shows higher BAI values and in the same time the centre of the city has clearly shifted southward. Statistical analyses are also done on built-up versus slope data. The lack of good GCP’s and the use of DEM produced inaccurate orthorectification which was not adequate for topographical features extraction. Nevertheless the present extensions of Bukavu built-up areas are more than the double of those observed at the beginning of the last half century. New constructions are located on steeper slopes where landslides are frequents. More features could be extracted from the Ikonos image if good GPS measurements were made and if verification by the city authorities was possible. Some practical applications of this study could involve determining better location of new Bukavu extensions. [less ▲]

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See detailIdentifying environmental risk factors for endemic cholera: a raster GIS approach
Ali, M.; Emch, M.; Donnay, Jean-Paul ULiege et al

in Health and Place (2002), 8(3), 201-210

The bacteria that cause cholera are known to be normal inhabitants of surface water, however, the environmental risk factors for different biotypes of cholera are not well understood. This study ... [more ▼]

The bacteria that cause cholera are known to be normal inhabitants of surface water, however, the environmental risk factors for different biotypes of cholera are not well understood. This study identifies environmental risk factors for cholera in an endemic area of Bangladesh using a geographic information systems (GIS) approach. The study data were collected from a longitudinal health and demographic surveillance system and the data were integrated within a geographic information system database of the research area. Two study periods were chosen because they had different dominant biotypes of the disease. From 1992 to 1996 El Tor cholera was dominant and from 1983 to 1987 classical cholera was dominant. The study found the same three risk factors for the two biotypes of cholera including proximity to surface water, high population density, and poor educational level. The GIS database was used to measure the risk factors and spatial filtering techniques were employed. These robust spatial methods are offered as an example for future epidemiological research efforts that define environmental risk factors for infectious diseases. (C) 2002 Elsevier Science Ltd. All rights reserved. [less ▲]

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See detailThe spatial epidemiology of cholera in an endemic area of Bangladesh
Ali, M.; Emch, M.; Donnay, Jean-Paul ULiege et al

in Social Science and Medicine (2002), 55(6), 1015-1024

This paper defines high-risk areas of cholera based on environmental risk factors of the disease in an endemic area of Bangladesh. The risk factors include proximity to surface water, high population ... [more ▼]

This paper defines high-risk areas of cholera based on environmental risk factors of the disease in an endemic area of Bangladesh. The risk factors include proximity to surface water, high population density, and low educational status, which were identified in an earlier study by the authors. Cholera data were analyzed by spatially referenced extended household units for two time periods, 1983-1987 and 1992-1996. These periods were chosen because they had different dominant cholera agents. From 1983-1987 classical cholera was dominant and from 1992-1996 El Tor was dominant. By defining high-risk areas based on risk factors, this study builds a spatial risk model for cholera. The model is then evaluated based on the locations of observed cholera cases. The study also identifies the determinants of death due to cholera for the two different time periods dominated by the different cholera agents. The modeled risk areas that were based on the risk factors were found to correspond with actual distributions of cholera morbidity and mortality. The high-risk areas of the dominant cholera agents are relatively stable over time. However, from 1983-1987 El Tor cholera, which was not the dominant agent during that period, was not associated with high-risk areas, suggesting that the El Tor habitat may have changed over time. The case fatality rate for cholera was related to proximity to a diarrhea treatment hospital in the study area. (C) 2002 Published by Elsevier Science Ltd. [less ▲]

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See detailSpatial filtering using a raster geographic information system: methods for scaling health and environmental data
Ali, M.; Emch, M.; Donnay, Jean-Paul ULiege

in Health and Place (2002), 8(2), 85-92

Despite the use of geographic information systems (GIS) in academic research, it is still uncommon for public health officials to use such tools for addressing health and environmental issues ... [more ▼]

Despite the use of geographic information systems (GIS) in academic research, it is still uncommon for public health officials to use such tools for addressing health and environmental issues. Complexities in methodological issues for addressing relationships between health and environment, investigating spatial variation of disease, and addressing spatial demand and supply of health care service, hinder the use of GIS in the health sector. This paper demonstrates simple spatial filtering methods for analyzing health and environmental data using a raster GIS. Computing spatial moving average rates reduces individual affects and creates a continuous surface of phenomena. Another spatial analytical method discussed is computation of exposure status surfaces including neighbors' influences weighted by distance decay. These methods describe how health and environmental data can be scaled in order to better address health problems. Spatial filtering methods are demonstrated using health and population surveillance data within a GIS that were collected for approximately 210,000 people in Matlab, Bangladesh. (C) 2002 Published by Elsevier Science Ltd. [less ▲]

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See detailSIG réparti pour le partage des données spatiales de référence entre administrations publiques. Une étude de cas en Belgique
Donnay, Jean-Paul ULiege

Scientific conference (2002, March 26)

Principes de la mise en place d''une infrastructure de données spatiales nationales, tenant compte des spécificités des différentes agences fédérales et régionales productrices de données de référence.

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See detailBelgian cities seen from space
Donnay, Jean-Paul ULiege

in Earth Observation by Satellite (2002)

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See detailImplementation of a www site presenting Liège viewed from space using satellilte images
Donnay, Jean-Paul ULiege

in Earth Observation by Satellite (2002)

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See detailThe silk road
Donnay, Jean-Paul ULiege

in Earth Observation by Satellite (2002)

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See detailDistributed GIS for sharing large scale data between public agencies. A case study in Belgium
Donnay, Jean-Paul ULiege

in GIS 2002 International Conference Proceedings (2002)

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See detailThe Possible Use of VHR Satellite Images in the Public Agencies in Belgium: Brussels, Ghent & Liège from Space.
Binard, Marc ULiege; Muller, Fabrice; Donnay, Jean-Paul ULiege

in Maktav, Derya; Jürgens, Carsten; Erber Sunar, Filiz (Eds.) et al Proceedings of the 3d International Symposium of Remote Sensing of Urban Areas (2002)

The City promotion project aims at arousing the awareness and possible use of the Very High Resolution (VHR) satellite images in the public agencies and education sector. This project is presently ... [more ▼]

The City promotion project aims at arousing the awareness and possible use of the Very High Resolution (VHR) satellite images in the public agencies and education sector. This project is presently financed by the Belgian federal Office for Scientific, Technical and Cultural affairs (OSTC). Il this purpose, a poster has been prepared showing the three main towns in Belgium _ Brussels, Ghent and Liège - and a website has been devoted to the project. The core of the cities is represented by satellite maps at 1: 5 000 scale. Ikonos panchromatic and multispectral images are merged together in order to obtain coloured images at 1 m resolution able to render the urban fabric of these old cities. Moreover small excerpts at enlarged scale (1: 3 000) show typical places and building in panchromatic mode. The excerpt selected on the famous Brussels “Grand Place” is used to illustrate the fusion process between the panchromatic (1 m) and the multispectral (4 m) images. Two small scale insets present the regional context of these three towns thanks to a natural colour composite made of Landsat 7 ETM+ images on the one hand, and a classical physical map on the other hand. Various exploitations in the classroom of this poster, and others of the same kind, are suggested on the related website (http://www.geo.ulg.ac.be/eduweb). [less ▲]

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