Scale in Spatial Information and Analysis

NOTE EDITORE

Now 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. The authors detail a systematic strategy for handling scale issues from geographic reality, through measurements, to resultant spatial data and their analyses. They also explore a process-pattern paradigm in approaching scale issues. This is well reflected, for example, in chapters dealing with terrain analysis, in which scale in terrain derivatives is described in relation to the processing involved in the derivation of specific terrain variables from elevation data, and area classes, which are viewed as driven by class-forming covariates. Lastly, this book provides coverage of some of the issues related to scale that are relatively under-represented in the literature, such as the effects of scale on information content in remotely sensed images, and the interaction between scale and uncertainty that is increasingly important for spatial information and analysis. By taking a rigorous, scientific approach to scale and its various meanings in relation to the geographic world, the book alleviates some of the frustration caused by dealing with issues of scale. While past research has led to an increasing number of journal articles and a few books dedicated to scale modeling and change of scale, this book helps you to develop coherent strategies for scale modeling, highlighting applicability for a variety of fields, from geomatic engineering and geoinformatics to environmental modeling.

SOMMARIO

IntroductionIssue of ScaleModels of ScaleScaling Up and DownBook ChaptersGeographic RepresentationsGeo-AtomsGeo-FieldsGeo-ObjectsHierarchical Data Structures DiscussionGeospatial MeasurementsFramework for Spatial SamplingOptical Remote Sensing and ResolutionMicrowave Remote Sensing and ResolutionDiscussionGeostatistical Models of ScaleGeostatistical Fundamentals and VariogramsVariogram Regularization and DeregularizationStatistics for Determining Measurement ScalesDiscussionLattice Data and Scale ModelsLattice DataSpatial Autocorrelation and Its MeasuresLocal ModelsDiscussionGeostatistical Methods for ScalingKrigingIndicator ApproachesUpscaling by Block KrigingDownscaling by Area-to-Point KrigingGeostatistical Inverse ModelingDiscussionMethods for Scaling Gridded DataUpscalingDownscalingDiscussionMultiscale Data ConflationMultivariate GeostatisticsImage FusionOther Multiscale MethodsDiscussionScale in Terrain AnalysisDigital Elevation Data and Their ScalesTerrain DerivativesModels of Scale in TopographyMethods for Scaling Terrain VariablesDiscussionScale in Area-Class MappingArea-Class Mapping Spatial Scales and Patterns in Area ClassesScaling Area-Class InformationDiscussionInformation ContentInformation TheoryInformation Content in Remotely Sensed ImagesImage Resolution and Information ContentInformation Content in Map DataDiscussionUncertainty CharacterizationAccuracy Metrics and AssessmentGeostatistical Approaches to ValidationAnalytical Approaches to Error PropagationGeostatistical SimulationDiscussionEpilogueReferencesIndex

AUTORE

Jingxiong Zhang, Peter Atkinson, Michael F. Goodchild

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781439829370
• Dimensioni: 9.25 x 6.25 in Ø 1.45 lb
• Formato: Copertina rigida
• Illustration Notes: 8 b/w images
• Pagine Arabe: 367