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Visar resultat 1 - 5 av 131 uppsatser som matchar ovanstående sökkriterier.
1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : 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
2. The Role of Technology Shifts in Urban Decarbonization Modelling : Scenario creation and implementation
Master-uppsats, KTH/EnergisystemSammanfattning : This work includes modelling of decarbonization scenarios at the scale of an urban area, providing policy insights and a methodology focusing on introducing district heating and maintaining the existing gas distribution network in a case study. With a focus on reducing gas consumption in the residential and tertiary sectors, the research integrates scenario developments giving a methodology to develop district heating, requiring a careful balance in selecting the optimal scale for city-wide analysis. LÄS MER
3. Locally Generated Unique Identifiers for Geospatial Data
Master-uppsats, Lunds universitet/Institutionen för datavetenskapSammanfattning : .... LÄS MER
4. Temperature Shocks and Price Stability
D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : 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. FROM SPACE TO THE SUBSURFACE. Examining Relations Between Vegetation Indices and Local Groundwater Storage.
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : 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