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Developing a common spatial data infrastructure between state and local government: an Australian case study / S. Jacoby in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 305 - 322 Titre : Developing a common spatial data infrastructure between state and local government: an Australian case study Type de document : Article/Communication Auteurs : S. Jacoby, Auteur ; L. Ting, Auteur ; Ian Williamson, Auteur ; J. Smith, Auteur Année de publication : 2002 Article en page(s) : pp 305 - 322 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] Australie [Termes IGN] collectivité territoriale [Termes IGN] échange de données informatisé [Termes IGN] infrastructure nationale des données localisées [Termes IGN] intégrité des données Résumé : (Auteur) Over the last decade a number of countries and states have successfully established complete spatial data infrastructures (SDIs) incorporating core digital map bases such as the cadastre or land parcel layer, topography, hydrology, road networks and administrative boundaries. These have usually been based on the amalgamation of national or state mapping and cadastral or land registration systems. At the same time many cities or Local Governments world-wide have established their own SDIs although they are more commonly referred to as geographical information systems. However in most cases the relationship between the Local Government and the National or State systems is at best poor. The result is that in many cases Local Government does not use the state SDI. This presents many difficulties in establishing state or national data sets, particularly where Local Government is responsible for controlling or maintaining the integrity of specific land related data in the state SDI. This paper describes the successful establishment of a partnership between 78 Local Government authorities and a State Government in Australia. This successful partnership has resulted in the State providing and updating the basic SDI for Local Government and Local Government in turn providing land parcel and property data to the State Government. This has resulted in significant improvements being made to the core map bases in the State SDI (such as the increased integrity of the state street address file), a marked reduction in duplicative mapbase maintenance activity (particularly by Local Government) and increased adoption of GIS technologies by Local Government with the beginnings of considerable flow-on benefits to the community being observed. The authors believe that this is a useful model which facilitates the SDI concept becoming a reality and which has generic application in many countries world-wide. Numéro de notice : A2002-159 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810110096001 En ligne : https://doi.org/10.1080/13658810110096001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22074 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Neural-network-based cellular automata for simulating multiple land use changes using GIS / X. Li in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 323 - 343 Titre : Neural-network-based cellular automata for simulating multiple land use changes using GIS Type de document : Article/Communication Auteurs : X. Li, Auteur ; A. Gar-On Yeh, Auteur Année de publication : 2002 Article en page(s) : pp 323 - 343 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] automate cellulaire [Termes IGN] Chine [Termes IGN] croissance urbaine [Termes IGN] modèle de simulation [Termes IGN] réseau neuronal artificiel [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol Résumé : (Auteur) This paper presents a new method to simulate the evolution of multiple land uses based on the integration of neural networks and cellular automata using GIS. Simulation of multiple land use changes using cellular automata (CA) is difficult because numerous spatial variables and parameters have to be utilized. Conventional CA models have problems in defining simulation parameter values, transition rules and model structures. In this paper, a three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses. The model involves iterative looping of the neural network to simulate gradual land use conversion processes. Spatial variables are not deterministic because they are dynamically updated at the end of each loop. A GIS is used to obtain site attributes and training data, and to provide spatial functions for constructing the neural network. The parameter values for modelling are automatically generated by the training procedure of neural networks. The model has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China. Numéro de notice : A2002-160 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810210137004 En ligne : https://doi.org/10.1080/13658810210137004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22075 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia / T.P. Robinson in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 345 - 360 Titre : An example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia Type de document : Article/Communication Auteurs : T.P. Robinson, Auteur ; R.S. Harris, Auteur ; J.S. Hopkins, Auteur ; B.G. Williams, Auteur Année de publication : 2002 Article en page(s) : pp 345 - 360 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] aide à la décision [Termes IGN] maladie parasitaire [Termes IGN] maladie tropicale [Termes IGN] surveillance sanitaire [Termes IGN] système d'information géographique [Termes IGN] Zambie Résumé : (Auteur) (Auteur) This paper presents a new method to simulate the evolution of multiple land uses based on the integration of neural networks and cellular automata using GIS. Simulation of multiple land use changes using cellular automata (CA) is difficult because numerous spatial variables and parameters have to be utilized. Conventional CA models have problems in defining simulation parameter values, transition rules and model structures. In this paper, a three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses. The model involves iterative looping of the neural network to simulate gradual land use conversion processes. Spatial variables are not deterministic because they are dynamically updated at the end of each loop. A GIS is used to obtain site attributes and training data, and to provide spatial functions for constructing the neural network. The parameter values for modelling are automatically generated by the training procedure of neural networks. The model has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China. Numéro de notice : A2002-161 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810110095057 En ligne : https://doi.org/10.1080/13658810110095057 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22076 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An experiment on the elevation accuracy improvement of photogrammetrically derived DEM / C. Lopez in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 361 - 375 Titre : An experiment on the elevation accuracy improvement of photogrammetrically derived DEM Type de document : Article/Communication Auteurs : C. Lopez, Auteur Année de publication : 2002 Article en page(s) : pp 361 - 375 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique Résumé : (Auteur) This paper focuses on a topic barely considered in the literature: how to improve the accuracy of a given Digital Elevation Model (DEM) irrespective of its lineage by identifying its most suspicious values (also denoted here as outliers). Methods tailored to a specific procedure and source (contour maps, remote sensing image, etc.) exist but they are not valid for other cases. This is a problem for both the producer and end user. The results of a comparison of two methods using six DEMs intended to be representative of different landscapes are reported here. Both methods have been applied to each DEM, producing a number of height candidates to be analysed. Assuming that all candidates are wrong, their elevations have been blindly replaced by interpolated heights, simulating the behaviour of the inexperienced user. The improved (or degraded) DEMs are then compared against the ground truth, and updated accuracy figures are calculated. The RMSE can diminish by 2 to 8% of the original value by changing less than 1% of the elevations in the dataset. Numéro de notice : A2002-162 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810210129111 En ligne : https://doi.org/10.1080/13658810210129111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22077 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Using GIS to analyse a severe forest blowdown in the southern Rocky Mountains / J.D. Lindemann in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 377 - 399 Titre : Using GIS to analyse a severe forest blowdown in the southern Rocky Mountains Type de document : Article/Communication Auteurs : J.D. Lindemann, Auteur ; W.L. Baker, Auteur Année de publication : 2002 Article en page(s) : pp 377 - 399 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatiale [Termes IGN] Colorado (Etats-Unis) [Termes IGN] forêt [Termes IGN] prédiction [Termes IGN] système d'information géographique Résumé : (Auteur) Many studies have helped us understand where blowdowns occur, how forests regenerate and respond to large disturbances. However, few studies have analysed how physical and biological factors affect blowdowns or interact with one another to determine susceptibility to blowdown. These factors range from the natural physical setting to past disturbances, and human-related features, such as roads and timber harvest units. These factors were examined in this study. Patches of the blown-down forest were mapped for the 1997 Routt-Divide blowdown, which affected over 10 000 ha of subalpine forest in north-central Colorado. A systematic sampling scheme was used to extract information on predictors for sampling points inside and outside the blowdown. Data on predictors were used in Classification and Regression Trees (CART) and logistic regression to model blowdown occurrence and severity. Two models were applied, and both were able to predict with an overall success rate of 75% or more. These two models produced similar results, showing that the Routt-Divide blowdown was most influenced by factors pertaining to the physical setting : distance to the Continental Divide, wind exposure, elevation, aspect, and cover type. Surprisingly, soil permeability and water-holding capacity and distance to natural edges (e.g. forest meadow) were not correlated significantly with the blowdown pattern. Numéro de notice : A2002-163 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1080/13658810210136069 En ligne : https://doi.org/10.1080/13658810210136069 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22078 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02041	RAB	Revue	Centre de documentation	En réserve L003	Disponible