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Showing 1 to 5 of 5 for “"Spatial forecasting"”.

  1. Dynamic Spatial Forecasting of Sea Lice Abundances

    Sea lice, Lepeophtheirus salmonis, are a major challenge to both aquaculture and wild salmon populations. L. salmonis infect salmonids, feeding on mucous, skin and flesh of infected fish, reducing fitness and increasing morbidity. The management of sea lice is a key consideration for farm operators …

    uhi-uk Repository record for Dynamic Spatial Forecasting of Sea Lice Abundances (opens in a new tab)

  2. The validation and improvement of route-based road weather forecasts

    … of route-based models at a vastly improved spatial and temporal resolution, and in doing so provide a tool for rapid appraisal of new model parameterisations. A validation strategy that uses clustering techniques to create clusters of forecast points with similar geographical and …

    birmingham Repository record for The validation and improvement of route-based road weather forecasts (opens in a new tab)

  3. Integrated Predictive Modeling and Analytics for Crisis Management

    … models often overlook key factors such as static spatial elements, socioeconomic conditions, and the wealth of data available from social media, which are crucial for a comprehensive understanding and effective response to these multifaceted crises. This thesis employs spatial forecasting and …

    vt Repository record for Integrated Predictive Modeling and Analytics for Crisis Management (opens in a new tab)

  4. Assessment of geographical based load forecast approach in distribution planning

    … Eskom Distribution followed a method of load forecasting (now referred to as legacy method in this report) that was based on collecting customer applications, historical load trending, and relied on the planner’s knowledge of the area to a large extent. It was based in a conventional Microsoft …

    cape-town Repository record for Assessment of geographical based load forecast approach in distribution planning (opens in a new tab)

  5. Multiscale decomposition of spatial lattice data for hotspot prediction

    … Next, we make use of the DPT to decompose spatial lattice data along with the multiscale Ht-index and the spatial scan statistic as a measure of saliency on the extracted pulses to detect significant hotspots. In the literature, geostatistical techniques such as Kriging has been used in …

    pretoria Repository record for Multiscale decomposition of spatial lattice data for hotspot prediction (opens in a new tab)