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Fundamentals of Spatial Data Quality

This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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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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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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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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Spatial Data Quality: From Process to Decisions

Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) - from the assessment of data;

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Spatial Data Handling in Big Data Era

computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge;

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Spatial Data Handling in Big Data Era

computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge;

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Spatial Data Analysis in Ecology and Agriculture Using R

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;

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Introduction to Spatial Data Analysis

Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be;

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An Introduction to Spatial Data Analysis

Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be;

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GIS Fundamentals

routinely use spatial data in a way which used to be the preserve of GIS specialists. However spatial data is stored and analyzed on a computer;

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Spatial Data Management

Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric;

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Spatial Accuracy Assessment

Assessment provides state-of-the-science methods, techniques and real-world solutions designed to validate spatial data, to meet quality assurance;

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GIS Fundamentals

routinely use spatial data in a way which used to be the preserve of GIS specialists. However spatial data is stored and analyzed on a computer;

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Displaying Time Series, Spatial, and Space-Time Data with R

Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R, Second Edition;

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Displaying Time Series, Spatial, and Space-Time Data with R

Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics;

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The Rise of Big Spatial Data

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical;

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Geographic Data Mining and Knowledge Discovery

first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and;

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Fundamentals of Spatial Information Systems

The study and application of spatial information systems have been developed primarily from the use of computers in the geosciences. These;

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Remote Sensing Of The Environment PNIE

introduces the fundamentals of remote sensing from an earth resource (versus engineering) perspective. Emphasis is on turning remote sensing data;

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Bridging the Geographic Information Sciences

diversity of GIScience related themes, including: Spatio-temporal Data Modelling and Visualisation; Spatial Data Infrastructures; Geo Web Services;

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Practitioners Gde Data Quality Improveme

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing;

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Toward a Coordinated Spatial Data Infrastructure for the Nation

The National Spatial Data Infrastructure (NSDI) is the means to assemble geographic information that describes the arrangement and;

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