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Visar resultat 1 - 5 av 26 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Scalable Bayesian spatial analysis with Gaussian Markov random fields

    Författare :Per Sidén; Mattias Villani; Anders Eklund; Håvard Rue; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Spatial statistics; Bayesian statistics; Gaussian Markov random fields; fMRI; Machine learning; Spatial statistik; Bayesiansk statistik; Gaussiska Markov-fält; fMRI; Maskininlärning;

    Sammanfattning : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. LÄS MER

  3. 2. Spatial distribution and conservation planning of seabed biological diversity

    Författare :Genoveva Gonzalez-Mirelis; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Spatial autocorrelation; ecological classifications; distribution modelling; biotopes; conservation planning; biodiversity surrogates; GIS; spatial ecology; benthos; fjord;

    Sammanfattning : Knowledge of spatial patterns of biota has become a commodity for conservation practitioners and spatial ecologists alike. This type of information enables the identification of representative and unique biological features (at some nominal scale) which itself constitutes the application par excellence of knowledge of biodiversity distribution as it relates to the design of reserve networks and the realization of spatial planning. LÄS MER

  4. 3. Classification of Remotely Sensed Data Utilising the Autocorrelation between Spatio-Temporal Neighbours

    Författare :Ann-Marie Flygare; Sweden Umeå Umeå University Department of Mathematical Statistics; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Image classification; strong mixing; spatio-temporal model; autocorrelation model; autocorrelation estimator; robustness aspects; strong consistency; asymptotic normality; evaluation; Statistik; Statistics;

    Sammanfattning : The subject of this thesis is methods for classifying land using satellite images, and adherent parameter estimation. A satellite image consists of a set of pixels where measurements of spectral intensities are observed. Based on these spectral intensities, each pixel is assigned a class. LÄS MER

  5. 4. On Specifying and Estimating Economic Growth as a Spatial Process : Convergence, Inequality, and Migration

    Författare :Martin E. Gustafsson; Roger Bivand; Uppsala universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Social and economic geography; Economic geography; economic growth; regional convergence; migration; spatial statistics; spatially correlated errors; geographical dependence; Kulturgeografi; Human geography; Kulturgeografi; kulturgeografi; Social and Economic Geography;

    Sammanfattning : This thesis includes three self-contained papers. The first paper considers the effect of geographically dependent observations on cross-sectional growth convergence and proposes a way of decomposing the level of technology taking into account geographical variation in growth rates. LÄS MER

  7. 5. Spatial Spillovers of Knowledge Production : An Accessibility Approach

    Författare :Urban Gråsjö; Högskolan Väst; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; nationalekonomi; Business and economics; Ekonomi; Economics; Nationalekonomi; Economics;

    Sammanfattning : The main focus of the thesis is on issues concerning production of knowledge. It is a common observation that knowledge activities have a tendency to agglomerate as well as to spill over in space. LÄS MER