Sökning: "spatial dependence"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden spatial dependence.

  1. 1. MULTI-CRITERIA ANALYSIS FOR RENEWABLE ENERGY INFRASTRUCTURE PLANNING : A case study of Nigeria

    Magister-uppsats, Umeå universitet/Institutionen för geografi

    Författare :Nelson Okosun; [2022]
    Nyckelord :Energy; Multi-Criteria; Infrastructure; GIS;

    Sammanfattning : Rising levels of urbanization and technological advancements has led to a shift towards dependence on energy consuming devices, machineries, and electrical appliances both for personal and productive use. This has led to higher demand for electricity services and more pressure on power supply facilities. LÄS MER

  2. 2. Spatial dependence in the regional innovation performance of small- and medium sized enterprises : A spatial econometric approach to identifying the drivers of SME innovation in European NUTS regions

    Master-uppsats, Jönköping University/IHH, Nationalekonomi

    Författare :Felix Sebastian Veit Ginzinger; [2022]
    Nyckelord :Geography in Innovation; SME Innovation; Spatial Dependence; Regional Science;

    Sammanfattning : Being a crucial sector in Europe’s economy, small and medium-sized enterprises (SMEs) require involvement in innovative activities to perpetuate their competitiveness. Nevertheless, European-wide funding programs that aim to foster innovation at the regional level have been criticized for not being adequately tailored to SMEs’ innovation patterns and dynamics. LÄS MER

  3. 3. Spatial Statistical Modelling of Insurance Claim Frequency

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Daniel Faller; [2022]
    Nyckelord :Insurance risk; claim frequency; Markov chain Monte Carlo MCMC ; Riemann manifold Metropolis adjusted Langevin algorithm MMALA ; spatial statistics; Gaussian Markov random field GMRF ; preconditioned Crank Nicolson Langevin algorithm pCNL ; Gibbs sampling; Bayesian hierarchical modelling; high dimensional; shrinkage prior; horseshoe prior; regularisation.; Mathematics and Statistics;

    Sammanfattning : In this thesis a fully Bayesian hierarchical model that estimates the number of aggregated insurance claims per year for non-life insurances is constructed using Markov chain Monte Carlo based inference with Riemannian Langevin diffusion. Some versions of the model incorporate a spatial effect, viewed as the relative spatial insurance risk that originates from a policyholder's geographical location and where the relative spatial insurance risk is modelled as a continuous spatial field. LÄS MER

  4. 4. AI based prediction of road users' intents and reactions

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Akshay Gurudath; [2022]
    Nyckelord :Intent prediction; Trajectory prediction; road users; pedestrians; cyclists; autonomous vehicles; LSTM networks; Attention modules; Transformer encoders; Attention based intent prediction; Constant velocity model; EM algorithm; Road user behavior dynamics; social behavior of road users;

    Sammanfattning : Different road users follow different behaviors and intentions in the trajectories that they traverse. Predicting the intent of these road users at intersections would not only help increase the comfort of drive in autonomous vehicles, but also help detect potential accidents. LÄS MER

  5. 5. Spatial Dependence in the Environmental Kuznets Curve

    Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Anna Pellicer Carrasquer; [2022]
    Nyckelord :environmental Kuznets curve; spatial autocorrelation; panel data; CO2 emissions; renewable energy consumption; Business and Economics;

    Sammanfattning : This essay aims to detect spatial autocorrelation present in the EKC relationship, as well as to find empirical evidence of said relationship. A panel data of 176 countries for the period 1990-2018 is used for the empirical part. Several spatial models are considered in this essay, namely the SDM, SAR model, SAC model and SEM. LÄS MER