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  • Articles  (13)
  • cluster analysis  (13)
  • Springer  (13)
  • American Meteorological Society
  • American Physical Society (APS)
  • Blackwell Publishing Ltd
  • International Union of Crystallography
  • Springer Nature
  • Wiley
  • 2020-2024
  • 2000-2004  (5)
  • 1995-1999
  • 1980-1984
  • 1975-1979  (4)
  • 1970-1974  (4)
  • 1955-1959
  • 1935-1939
  • 1930-1934
  • 2000  (5)
  • 1978  (3)
  • 1977  (1)
  • 1974  (4)
  • Geosciences  (10)
  • Energy, Environment Protection, Nuclear Power Engineering  (3)
  • Process Engineering, Biotechnology, Nutrition Technology
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  • Articles  (13)
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Publisher
  • Springer  (13)
  • American Meteorological Society
  • American Physical Society (APS)
  • Blackwell Publishing Ltd
  • International Union of Crystallography
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Years
  • 2020-2024
  • 2000-2004  (5)
  • 1995-1999
  • 1980-1984
  • 1975-1979  (4)
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Year
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  • 1
    Electronic Resource
    Electronic Resource
    Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States (2000)
    Springer
    Environmental modeling and assessment 5 (2000), S. 125-137 
    Details
    ISSN: 1573-2967
    Keywords: cluster analysis ; eastern deciduous forest ; geographic information system ; global change ; Monte Carlo simulation ; nitrogen deposition ; ozone ; scaling up ; site index ; southern pine forest
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilities with several scales of computer modeling for southern pine species and eastern deciduous forests. Outputs, such as forest production, evapotranspiration and carbon pools, may be compared statistically for alternative equilibrium or transient scenarios providing a statistical basis for decision making in regional assessments.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1019005510316
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  • 2
    Electronic Resource
    Electronic Resource
    Refined Locations of The Swarm Earthquakes In The Nový Kostel Focal Zone and Spatial Distribution of The January 1997 Swarm In Western Bohemia, Czech Republic (2000)
    Springer
    Studia geophysica et geodaetica 44 (2000), S. 210-226 
    Details
    ISSN: 1573-1626
    Keywords: earthquake swarms ; cluster of foci ; relative location ; cluster analysis ; multiplet events
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geosciences , Physics
    Notes: Abstract In order to improve the accuracy of the spatial distribution of earthquake foci in the principal Novy Kostel focal zone, refined focal locations of about 1500 micro-earthquakes of the 1991 – 1997 period were determined using the relative Master-Event location method. To estimate the reduction in the scatter of located hypocentres, the results were compared with those obtained by routinely used FASTHYPO method and cluster analysis (the nearest-neighbour method) was applied to the located foci to evaluate the spatial distribution of the foci. Based on the results of refined location and of the cluster analysis, a concept of seismic energy release in space and time in the main focal zone was developed. Especially the January 1997 earthquake swarm was studied in detail: 946 events were located with the Master-Event location method, and the dimensions and geometry of focal clusters were determined. Type analysis was applied to waveforms to divide approximately 800 located events into eight multiplet groups to each of which a characteristic source mechanism was assigned. The spatial distribution of the foci as well as of the eight types of source mechanisms was revealed in this way and also the planes fitting the clusters of foci with two predominant source mechanisms were determined fairly well.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1022162826079
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  • 3
    Electronic Resource
    Electronic Resource
    Data manipulation in cluster analysis and the concept of zero presence (1978)
    Springer
    Mathematical geology 10 (1978), S. 335-345 
    Details
    ISSN: 1573-8868
    Keywords: cluster analysis ; ecology ; zero presence
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A zero presence results from mathematical manipulation of a zero datum due to centering and normalizing the data for each site. Ecologically it can be interpreted as having the same importance as any other presence, where any presence results from the interaction of environmental factors.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01031738
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  • 4
    Electronic Resource
    Electronic Resource
    Deciphering Groundwater Flow Systems in Oasis Valley, Nevada, Using Trace Element Chemistry, Multivariate Statistics, and Geographical Information System (2000)
    Springer
    Mathematical geology 32 (2000), S. 943-968 
    Details
    ISSN: 1573-8868
    Keywords: principal components analysis ; cluster analysis ; population partitioning ; trace element compositions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The origin of groundwater discharging via evapotranspiration and from springs within Oasis Valley, Nevada, is of concern owing to the close proximity of the Nevada Test Site (NTS) and the possible contamination of groundwater as a result of underground nuclear testing. Principal components analysis, cluster analysis, and population partitioning, along with a Geographical Information System, were used to decipher groundwater flow patterns in Oasis Valley, Nevada. These multivariate statistical techniques were applied to the trace element chemistry of groundwater samples collected from 26 springs and wells within Oasis Valley, the NTS, and the Nellis Air Force Range. The results of all statistical analyses showed similar geographical trends in the trace element chemistry of the groundwaters included in this study. Differences are observed between the groundwaters from the NTS and those of Oasis Valley based on the concentrations of the elements Li, Ge, Mo, Rb, Ba, U, and Ru. A concentration gradient is observed from lower concentrations in the NTS to increasing concentrations toward Oasis Valley suggesting groundwater flow in an overall southwestward direction from the NTS. Also, a different trace element signature is observed for the waters collected in the northern and western region of Oasis Valley, suggesting another source of groundwater to this area.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1007522519268
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  • 5
    Electronic Resource
    Electronic Resource
    Application of factor analysis to classification of engineering-geological environments (1974)
    Springer
    Mathematical geology 6 (1974), S. 17-31 
    Details
    ISSN: 1573-8868
    Keywords: cluster analysis ; factor analysis ; engineering geology ; soils
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The engineering-geological environment, as any other geological environment, can be described by a number of variables. A clustering of those variables or clustering of their quantities makes it possible to divide the environment into taxonomic types. It is also possible to determine factors which are functions of those variables and which characterize the environment or its parts. In this paper we have applied R-and Q-mode factor analysis to engineering-geological research, concentrating our attention on establishing criteria for subdividing an environment into various aspects by its engineering-geological characteristics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02111924
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  • 6
    Electronic Resource
    Electronic Resource
    The statistical zap versus the shotgun approach (1974)
    Springer
    Mathematical geology 6 (1974), S. 311-332 
    Details
    ISSN: 1573-8868
    Keywords: canonical correlation ; cluster analysis ; correlation ; discriminant analysis ; factor analysis ; multivariate analysis ; numerical taxonomy ; principal coordinates ; regression analysis ; statistics ; allometry ; eurypterids ; integration and coordination ; ontogeny ; paleontology ; relative growth
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Multivariate analysis is used in the search for one or more types of structure. The statistical zap applies a single method to determine one preselected type of structure. Several zaps suffice to ascertain several types of structure. The statistical shotgun represents an alternative approach. Here, a series of methods is applied to the data with the intent of ascertaining all possible types of structure that may exist. If strong structure is present, an appropriate zap will probably reveal it, and a variety of techniques will determine the same general structure. If only the main structure is required, the zap is adequate. In this situation, the shotgun will display a basic consistency which is at least reassuring. However, zaps may fail to detect a more subtle secondary structure of geological interest which will be displayed by the shotgun. For weakly structured data, a zap will only determine one type of structure but the shotgun reveals all. Study of the ontogeny of Parastylonurus myops(Clarke), a Lower Silurian eurypterid from New York (USA) shows the virtues of the statistical shotgun.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02082354
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  • 7
    Electronic Resource
    Electronic Resource
    Quantified coefficients of association and measurement of similarity (1974)
    Springer
    Mathematical geology 6 (1974), S. 135-152 
    Details
    ISSN: 1573-8868
    Keywords: classification ; cluster analysis ; numerical taxonomy
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Coefficients of association have been widely employed in cluster analysis. However, their use has been, for the most part, restricted to binary data. This limitation can be overcome by redefining positive and negative matches and mismatches in terms of minimum and maximum values of paired elements of parallel vector arrays. Rewriting the algorithms of coefficients of association with these new components gives the new “quantified” coefficients general utility for binary, ordered multistate, and quantitative data, while retaining their original analytic properties. Quantified coefficients of association avoid several problems of shape and size that are associated with correlation coefficients and measures of Euclidean distance. However, when measuring similarity, quantified coefficients weight each attribute of an object by that attribute's magnitude. A related set of similarity indices termed “mean ratios” is introduced; these indices give each attribute equal weight in all situations. Both quantified coefficients of association and mean ratios are related to a number of measures of similarity introduced to various fields of scientific research during the past 50 years. A review of this literature is included in an attempt to consolidate methodology and simplify nomenclature.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02080152
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  • 8
    Electronic Resource
    Electronic Resource
    A method for testing the distinctness of clusters: A test of the disjunction of two clusters in Euclidean space as measured by their overlap (1977)
    Springer
    Mathematical geology 9 (1977), S. 123-143 
    Details
    ISSN: 1573-8868
    Keywords: classification ; cluster analysis ; numerical taxonomy
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A method is described for testing the distinctness of two clusters in Euclidean space. One first calculates the projections, q,of the N1 and N2 members of the clusters onto the line joining the cluster centroids. From the distributions of qan index of disjunction, W,is calculated, which corresponds to an index of overlap, VG.The quantity W√(N1+N2)is distributed as noncentral tsubject to assumptions on the multivariate normal distribution of the clusters. This allows a test of whether the observed disjunction is significantly greater than a chosen figure, which is equivalent to testing whether the overlap of the clusters is significantly less than a corresponding value of VG.Two clusters that appear distinct may be produced simply by the partitioning of a homogeneous swarm into two contiguous regions. Provided that the clusters form a dichotomy in a dendrogram, and that the clustering method yields geometrically convex clusters, a conservative test of this situation can be derived by determining the excess of Wover the value expected for a rectangular distribution.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02312508
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  • 9
    Electronic Resource
    Electronic Resource
    An empirical assessment and illustration of some multivariate morphometric techniques (1978)
    Springer
    Mathematical geology 10 (1978), S. 111-139 
    Details
    ISSN: 1573-8868
    Keywords: classification ; cluster analysis ; principal components ; morphometrics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract An artificial data set is used to illustrate the morphologic properties of some common multivariate techniques and consideration of three common situations. The first concerns a sample showing no obvious groupings. In this situation principal components (or coordinates) and factor analyses give a logical ordination of form variation; cluster analysis produces sizedominated groups. The second situation considers an homogeneous sample where size and shape have important implications. Principal components are tested for association with size and shape, both of which can be isolated if isometry exists; if allometry is present, isolation of shape is possible only by size elimination, e.g., conversion to ratios. The third situation examines a sample of unknown groupings in which shape variation is the only interest. Aside from ratios, two other methods which produce shape-dominant clusters are assessed. Some of the options available in cluster analysis are also examined.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01032861
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  • 10
    Electronic Resource
    Electronic Resource
    Deposit modeling of a nickel belt in Finland (1978)
    Springer
    Mathematical geology 10 (1978), S. 543-554 
    Details
    ISSN: 1573-8868
    Keywords: deposit modeling ; Ni−Cu deposits ; cluster analysis ; characteristic analysis ; factor analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Data from 34 Ni−Cu deposits of the 315c-striking, 420-km long, and 10–40-km wide Kotalahtinickel belt have been recorded in the previously described system of the Ore Data File of Finland. For comparison data from four Ni−Cu deposits outside the belt have been collected. The statistical treatment of the data begins with cluster analysis and four classes are distinguished on the basis of 303 data elements. These classes form eight groups within the linear belt. Two groups containing the largest deposits, Hitura and Kotalahti, are processed by characteristic analysis, and factor analysis is applied to test the interdependence of the characteristics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02461984
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