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Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications. By using original research, current advancement, and
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Spatial Data Quality
Quality Aspects in Spatial Data Mining
Uncertainty and Context in GIScience and Geography
Statistical Methods for Spatio-Temporal Systems
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
Geographical Data Imperfection 2
Science and Management of Uncertainty
Geographic Information, Geospatial Technologies and Spatial Data Science for Health
Environmental Modelling with GIS and Remote Sensing
Spatial Cluster Modelling
Modeling Uncertainty in the Earth Sciences