|aScale in spatial information and analysis /|cJingxiong Zhang, Peter M. Atkinson, and Michael F. Goodchild.
|aBoca Raton, FL :|bCRC Press,|cc2014.
|aBoca Raton, FL :|bCRC Press,|c
|axiv, 353 pages :|billustrations ;|c24 cm
|aIncludes bibliographical references and index.
|aGeographic Representations -- Geospatial Measurements -- Geostatistical Models of Scale -- Lattice Data and Scale Models -- Geostatistical Methods for Scaling -- Methods for Scaling Gridded Data -- Multiscale Data Conflation -- Scale in Terrain Analysis -- Scale in Area-Class Mapping -- Information Content -- Uncertainty Characterization.
|aNow ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spatial Information and Analysis describes the scales of measurement and scales of spatial variation that exist in the measured data. It provides you with a series of tools for handling spatial data while accounting for scale.
內容簡介top Scale in Spatial Information and Analysis 簡介 Essential to the comprehension of spatial phenomena and application of spatial information, scale dependencies, along with their representations and analyses, must be properly and usefully incorporated for better-informed spatial problem-solving. This book provides a coherent synthesis of past and current research on scale issues in spatial information and analysis. Within a clear geostatistical framework, it describes those fundamental concepts, theories, and techniques essential for scale-dependent and sensitive handling of multi-source spatial data. It includes examples and illustrations for mathematical detail and outlines potential future developments in the field.