https://dasya.itu.dk/tags/geospatial-data/ Recent content in geospatial data 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.