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Uncertainty Modelling and Quality Control for Spatial Data

settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals;

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Uncertainty Modelling and Quality Control for Spatial Data

settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

analyses, uncertainty modeling for spatial data to spatial models, and error description of spatial data to spatial data quality control;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

analyses, uncertainty modeling for spatial data to spatial models, and error description of spatial data to spatial data quality control;

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Spatial Data Quality

quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an;

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Bridging the Geographic Information Sciences

and Geo Semantic Web; Modelling and Management of Uncertainty; Spatio-temporal Data Quality and Metadata; Mobility of Persons, Objects and;

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Advances in Geo-Spatial Information Science

and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo;

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Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain

important to guide the decisions for production of high-quality and safe agricultural foods. With the aid of models it becomes possible to control;

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Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

analysis of geographical and attributed data Defines the concept of establishing and characterizing spatial data systems, including their quality;

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Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

analysis of geographical and attributed data Defines the concept of establishing and characterizing spatial data systems, including their quality;

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The Rise of Big Spatial Data

summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data;

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Spatial Modelling in Forest Ecology and Management

provide valuable spatial information for forest managers and landscape planners as well as for policy-makers. Some spatial models outlined in this;

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Frontiers in Statistical Quality Control 13

, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content;

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GIS for Environmental Applications

GIS for Environmental Applications provides a practical introduction to the principles, methods, techniques and tools in GIS for spatial;

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GIS for Environmental Applications

GIS for Environmental Applications provides a practical introduction to the principles, methods, techniques and tools in GIS for spatial;

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Spatial Dynamics, Networks and Modelling

that modelling network processes at different spatial scales provides critical information for the design of plans and policies. Furthermore, a;

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Geostatistics for Compositional Data with R

-spatial and spatial aspects. Block three covers all necessary facets of multivariate spatial prediction for compositional data: variogram;

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Low-cost space-borne data for inundation modelling: topography, flood extent and water level

This thesis aims to explore the potential and limitations of low-cost, space-borne data in flood inundation modelling under unavoidable;

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Low-cost space-borne data for inundation modelling: topography, flood extent and water level

This thesis aims to explore the potential and limitations of low-cost, space-borne data in flood inundation modelling under unavoidable;

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Spatial Data Analysis in Ecology and Agriculture Using R

objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions.

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Spatial Modelling of the Terrestrial Environment

Understanding and predicting the behaviour of natural and human environmental systems is crucial for the effective management of the;

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Key Concepts and Techniques in GIS

detailed descriptions of the concepts and techniques that anyone using GIS software must fully understand to analyse spatial data. Short and;

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Key Concepts and Techniques in GIS

detailed descriptions of the concepts and techniques that anyone using GIS software must fully understand to analyse spatial data. Short and;

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Risk and Uncertainty Analysis for Sustainable Urban Water Systems

quality. While planning for sustainability, we need to make decisions considering those future change pressures, which are often uncertain and;

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Quality Aspects in Spatial Data Mining

. Quality Aspects in Spatial Data Mining introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming;

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Quality Aspects in Spatial Data Mining

. Quality Aspects in Spatial Data Mining introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming;

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Principles Of Geographical Information Systems

described in detail, including the use of geostatistics for interpolating from points to continuous fields. Examples of how spatial data and an;

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