Sökning: "Geospatial data"

Visar resultat 1 - 5 av 102 uppsatser innehållade orden Geospatial data.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

  3. 2. Locally Generated Unique Identifiers for Geospatial Data

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Tim Jangenfeldt; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : .... LÄS MER

  4. 3. Temperature Shocks and Price Stability

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Författare :Klara Strömberg; [2024]
    Nyckelord :Climate Change; Price Stability; Local Projections; United Kingdom;

    Sammanfattning : This thesis investigates the interplay between temperatures and prices in an advanced economy context. To this end, I estimate the impulse response to a 1°C temperature anomaly on the UK economy. LÄS MER

  5. 4. FROM SPACE TO THE SUBSURFACE. Examining Relations Between Vegetation Indices and Local Groundwater Storage.

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Gustav Antonsson; [2023-11-06]
    Nyckelord :;

    Sammanfattning : This study aimed to examine the relationship between vegetation indices, NDVI and NDWI, and groundwater levels in the county of Kalmar, utilizing correlation and regression analysis. Further, by examining related geospatial features the study aimed to interpret the statistical outcomes to identify significant temporal and spatial patterns. LÄS MER

  7. 5. Activity Location Assignment Comparison Using Geospatial Landuse and Building Data in MATSim : A Multi-modal Transport Case Study of Stockholm

    Master-uppsats, KTH/Transportplanering

    Författare :YU GAO; [2023]
    Nyckelord :Agent-based model; MATSim; Raster Data; Shapefile Data; OSM; GTFS;

    Sammanfattning : Transport simulation models play a crucial role in transportation planning, design, and operations, allowing for the replication of various scenarios through the incorporation of real-world data and parameters. Recently, agent-based transport models have gained prominence for their ability to simulate intricate metropolitan transport systems. LÄS MER