Arctic Ocean ; Automated mapping ; Barents Sea ; Classification ; Ecology ; Fishing zone ; Numerical model ; Zonation
Arctique océan ; Barents mer ; Cartographie automatique ; Classification ; Ecologie ; Modèle numérique ; Zonation ; Zone de pêche
Essai de mise au point d'une méthode de classification estimative de la mer de Barents sur la base de la création et de l'analyse d'une base cartographique numérique de données océanologiques.
Morphogenetic classification of river valleys developing in formerly glaciated areas for the needs of mathematical and physical modelling in hydrotechnical projects
Applied hydrology ; Catchment area;Watershed ; Classification ; Fluvial erosion ; Fluvial processes ; Human impact ; Hydrological regime ; Meander ; Model ; Poland ; River bed
This paper deals with proposals of natural models of river valley evolution useful for physical and mathematical modelling in hydrotechnical projects. Such models are known from investigations of numerous valley reaches of the Wisla (Vistula) River
and the Odra (Oder) River drainage basins. The proposed classification of model types forms an open system that can be supplemented with new types and subtypes, characteristic for other regions of the world.
Supervised classification of types of glaciated landscapes using digital elevation data
Automated mapping ; Classification ; Esker ; Fluvioglacial features ; Geomorphometry ; Glacial features ; Kame ; Michigan ; Model ; Moraine ; Numerical model ; United States of America
) derived from digital elevation models (DEMs) to differentiate glaciated landscapes using maximum likelihood classification and artificial neural networks (ANN). The automated methods were trained and validated using an existing Quaternary geology map
Slope-failure analysis and classification : review of a century of effort
Classification ; Glissement de terrain ; Géotechnique ; Modèle ; Mouvement de masse ; Risque naturel ; Terminologie ; Télédétection ; Versant
Classification ; Geotechnics ; Landslide ; Mass movement ; Model ; Natural hazards ; Remote sensing ; Slope ; Terminology
The complexity of mass-movement phenomena has led to a profusion of confusing terminology that this paper attempts to clarify. The most useful classification are those that employ as their primary criteria the type of movement involved
research is expected to incorporate quantitative and geotechnical assessments of process mechanics, including remote sensing, numerical indices and modeling, and advanced assessments of flow rheology.
Classification et modélisation de phénomènes d'instabilité dans les amas rocheux superposés à des argilites ou à des argiles superconsolidées
Classification ; Mass movement ; Model ; Numerical model ; Slope ; Slope dynamics
Classification ; Dynamique de versant ; Modèle ; Modèle numérique ; Mouvement de masse ; Versant
L'article propose une classification des mécanismes de mouvement des blocs de pierre sur un substrat déformable et examine les associations les plus fréquentes de ces mécanismes. Par ailleurs, et pour l'étude de tels phénomènes, l'article
This digital classification method combines landforms characteristics of morphology with genesis. A total of 15 categories of exogenic and endogenic forces are divided into 2 broad categories: morpho-genetic and morpho-structural landforms
. The classification method of digital morpho-genetic types can be divided into 7 layers, i.e. basic morphology and altitude, genesis, sub-genesis, morphology, micro-morphology, slope and aspect, material and lithology. The method proposes combinations of matrix forms
based on layered indicators. This system was developed in parallel with a GIS geodatabase in China. Therefore, different information from every classification method can be easily performed and integrated in the ArcGIS geodatabase for the entire country.
Durant les dernières décennies, les techniques appuyées par l'informatique ont exercé une influence durable sur les méthodes traditionnelles de la géographie de la végétation, en particulier en ce qui concerne la classification de la végétation et
Finland ; Land use ; Numerical data ; Remote sensing ; Satellite imagery
Utilisation croissante de la télédétection en géographie. Il s'agit du développement et du contrôle des techniques pour le traitement des données numériques satellitaires. Pour évaluer la pertinence des programmes et de la méthode de classification
, on fait un test sur la classification de l'utilisation des terres dans l'île de Hailuoto (Finlande) à partir de l'image satellitaire 5 TM du 20-VII-1987. Les résultats sont lissés avec un filtre modal et reproduits sur un traceur électrostatique en
couleurs. La précision de la classification est de 85%, degré jamais atteint précédemment. - (CLR)
Introduction à la classification ascendante hiérarchique d'après un exemple de données économiques
Analyse multivariée ; Classification ascendante hiérarchique ; Commerce international ; Généralités sur la géographie ; Méthodologie ; Phosphates ; Théorie statistique
This article, which will appear in the volume Practice of Data Analysis in Economics, follows (CORR. ECO.), C.A.D. Vol X, n 2, and it takes from the latter the geometric basics and the numerical data. We define what is meant by clustering
Cluster analysis ; Concept ; Geomorphology ; Geomorphometry ; Italy ; Model ; Numerical model ; Region ; Taxonomy ; Topography
This paper presents a preliminary subdivision of the entire Italian territory into formal topographic units and describes the rationale and the largely DEM-based techniques by which it was prepared. The classification is semi-quantitative, derived
Soil regions follow to the agro-ecologic units. Is tries to give the value of soils numerically, too. New evaluational method, based on the system of genetic soil-classification and on the measurable soil-advantage combination. - (DLO)
Carte ; Classification ; Danube vallée ; Géographie de l'Europe ; Sol ; Sol salin ; Taxonomie ; Tchécoslovaquie
Out of the numerous available factological materials of the Complex Pedological Survey as well as some experience all the salinized soils of the Danube lowland are classified according to both intensity and predisposition to secondary salinization
The study presents approaches that can be used for assessing flood seasonality in the Czech part of the Elbe River basin. For each of stations a graphic-numerical method was applied. The results were used for classification of the individual
Stability and invariance of remote sensing-specific features for classification. Setting-up of catalogues of features for the automatic evaluation of remote sensing data. Processing by computer by means of non-numeric interpretation keys. (HL).
Hydrodynamics ; Mathematical model ; Model ; Numerical model ; Runoff ; Water circulation ; Wind
Classification des modèles mathématiques. Technologies numériques actuelles. Exemples de calculs par des modèles bidimensionnels dans un plan vertical et dans un plan horizontal. Exemples de calcul de problèmes tridimensionnels.
Agropédologie ; Cartographie ; Classification agronomique ; Evaluation du sol ; Géographie de l'Asie ; Indonésie ; Littoral ; Riz ; Selatan ; Sol ; Zone intertropicale
, exchange capacity, base saturation and organic matter status. A procedure is described for the actual evaluation. Similar results are obtained when relative limitation scale or a numerical parametric approach is used.
used to analyze the sediment chemistry - water quality classification using the ČSN 757221 standard, sediment contamination classification using the geoaccumulation index and comparison of observed concentrations of heavy metals in sediments. Unlike
numerous water basins where the contamined sediments were washed out and the pollution load levels dropped, the Střela River Basin did not record significant changes in pollution level related to the flood. - (EN)