https://dasya.itu.dk/tags/spatial-data-analysis/ Recent content in spatial data analysis on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Thu, 01 Jun 2023 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/etz-sdf/ Thu, 01 Jun 2023 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/etz-sdf/ Geospatial data refers to information that is tied to specific geographic locations on the Earth’s surface. It includes both the location coordinates (such as latitude, longitude, and, potentially, altitude) and attribute data associated with those locations. Geospatial data is categorized into two types: raster and vector. Vector data represents geographic features as points, lines, and polygons. Points represent individual locations (e.g., cities), lines represent linear features (e.g., roads, rivers), and polygons represent areas (e. https://dasya.itu.dk/for-students/proposals/current/cities1/ Thu, 01 Jul 2021 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/cities1/ The idea behind “15-minutes cities” is that within a short walk or bike ride people should have access to all necessary facilities that constitute the essence of urban living, such as parks, shops, cafes, schools, hospitals. Initiatives to transform cities according to this paradigm are currently being implemented across the world, in an attempt to make urban spaces more liveable, sustainable and community-oriented. However, a systematic understanding of the connection between urban form and accessibility is missing. https://dasya.itu.dk/for-students/proposals/current/cycling/ Thu, 01 Jul 2021 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/cycling/ As a response to increased traffic congestion and the need to reduce carbon emissions, cities consider ways to modernise, build and extend transit systems. Transit network design solutions can benefit from analysing the large amount of crowd-sourced location data available, which provides valuable insights into population mobility needs. Designing efficient metro lines, bicycle paths, or bus routes brings a number of conflicting constraints into play: from the user’s perspective, an efficient transit network is easily accessible and time-efficient, while from the provider’s side there is, amongst others, a limitation on the budget. https://dasya.itu.dk/for-students/proposals/current/cities2/ Thu, 01 Jul 2021 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/cities2/ The idea behind “15-minutes cities” is that within a short walk or bike ride people should have access to all necessary facilities that constitute the essence of urban living, such as parks, shops, cafes, schools, hospitals. Initiatives to transform cities according to this paradigm are currently being implemented across the world, in an attempt to make urban spaces more liveable, sustainable and community-oriented. However, a systematic understanding of the connection between urban form and accessibility is missing. https://dasya.itu.dk/for-students/proposals/archive/wind_gnn/ Thu, 01 Jul 2021 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/wind_gnn/ The integration of wind power in the energy grid is dependent on accurate production forecasts. The power output curves between neighbouring wind farms are often correlated temporally and spatially, but currently, these spatiotemporal dependencies are under-utilised in prediction models. Graph neural networks allow for modelling these dependencies. In this project the student will implement a prediction model using a newly released Python library for temporal geometric graph neural networks in order to analyse dependencies across wind farms at different locations in Denmark.