Počet záznamů: 1
Statistical geoinformatics for human environment interface
Údaje o názvu Statistical geoinformatics for human environment interface / Wayne L. Myers, Ganapati Patil Osobní jméno Myers, Wayne L., 1942- (autor) Nakladatel Boca Raton : CRC Press, [2013] Copyright ©2013 Fyz.popis 1 online zdroj : ilustrace ISBN 9781420082883 (online) 1420082884 (online) Edice Applied environmental statistics Poznámky o skryté bibliografii a rejstřících Obsahuje bibliografické odkazy Úplný obsah 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. Poznámky k dostupnosti Přístup pouze pro oprávněné uživatele Poznámky Způsob přístupu: World Wide Web Defekty eBooks on EBSCOhost Dal.odpovědnost Patil, Ganapati P. (autor) Předmět.hesla ekologie člověka human ecology * geoinformatika geoinformatics * statistické metody statistical methods Forma, žánr elektronické knihy electronic books Konspekt 502 - Životní prostředí a jeho ochrana MDT 004:91 , 519.23/.24 , 502.22 , (0.034.2:08) Země vyd. Florika Jazyk dok. angličtina Druh dok. Elektronické zdroje URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=467616 
kniha
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 pa.
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.
Počet záznamů: 1