 | Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses Subjects: Earth Sciences; Geography; Earth Sciences; GIS Remote Sensing & Cartography; Geographic Information Systems; Statistical & Mathematical Analysis (Geography); Geochemistry; When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t |
