Del i serien Chapman & Hall/CRC Applied Environmental Statistics

Statistical Geoinformatics for Human Environment Interface

Häftad, Engelska, 2018

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Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons. These paired paradigms enable: The capacity to cope with complexity Systematic surveillanceVisualization and communication Preliminary prioritizationCoupling of GIS and statistical softwareAvenues for automationIllustrating the interdisciplinary nature of geoinformatics, this book offers a novel approach to the spatial analysis of human influences and environmental resources. It includes practical strategies for statistical and spatial analysis.

Produktinformation

Utgivningsdatum2018-09-10
Mått156 x 234 x 12 mm
Vikt420 g
FormatHäftad
SpråkEngelska
SerieChapman & Hall/CRC Applied Environmental Statistics
Antal sidor223
FörlagTaylor & Francis Ltd
ISBN9781138372726

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Geovetenskap inom Naturvetenskap och teknik
Geografi inom Naturvetenskap och teknik

Wayne L. Myers is Professor Emeritus of Forest Biometrics at the Pennsylvania State University. He is a Certified Forester of the Society of American Foresters, an Emeritus Member of the American Society of Photogrammetry and Remote Sensing, and a 40-year member of the American Statistical Association. Dr. Myers specializes in landscape analysis using GIS and remote sensing in conjunction with multivariate approaches to analysis and prioritization. Ganapati P. Patil is Director of the Center for Statistical Ecology and Environmental Statistics and Distinguished Professor Emeritus of Mathematical and Environmental Statistics at the Pennsylvania State University. He is a fellow of the American Statistical Association, American Association of Advancement of Science, Institute of Mathematical Statistics, International Statistical Institute, Royal Statistical Society, International Association for Ecology, International Indian Statistical Association, Indian National Institute of Ecology, and Indian Society for Medical Statistics. Dr. Patil has served on panels for numerous international organizations, including the United Nations Environment Programme, U.S. National Science Foundation, U.S. Environmental Protection Agency, U.S. Forest Service, and U.S. National Marine Fisheries Service. He has authored/coauthored more than 300 research papers and more than 30 cross-disciplinary volumes.

Statistical Geoinformatics of Human Linkage with Environment. Localizing Fixed-Form Features. Precedence and Patterns of Propensity. Raster-Referenced Cellular Codings and Map Modeling. Similar Settings as Clustered Components. Intensity Images and Map Multimodels. High Spots, Hot Spots, and Scan Statistics. Shape, Support, and Partial Polygons. Semisynchronous Signals and Variant Vicinities. Auto-Association: Local Likeness and Distance Decline. Regression Relations for Spatial Stations. Spatial Stations as Surface Samples. Shifting Spatial Structure. Synthesis and Synopsis with Allegheny Application. Index.