Essays about: "Spatial Language"
Showing result 1 - 5 of 76 essays containing the words Spatial Language.
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1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. READ MORE
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2. Spatial Price Equilibrium in the World Natural Gas Market
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : Characteristic for the world natural gas market is that the markets in different continents are not completely integrated. In some cases, this leads to exceptionally large price differences. There are two reasons for this; first the technical difficulties related to shipping natural gas, second the pricing mechanism of the natural gas market. READ MORE
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3. THE SWEDISH MODERATE PARTY – NOT SO OPENLY HEARTED ANYMORE?
University essay from Göteborgs universitet/Statsvetenskapliga institutionenAbstract : Existing literature argues that mainstream parties strategise when other niche parties threaten their position. I argue that we can observe this unfold on a practical level through how the mainstream parties use language. READ MORE
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4. Toward inclusive cities: exploring migrant participation in Swedish urban planning : a case study of Stockholm’s Hagsätra-Rågsved
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : The city of Stockholm grapples with significant challenges related to social exclusion and segregation. This particularly affects vulnerable groups such as individuals of migrant background residing in low-income suburbs around the city centre. READ MORE
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5. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE