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Morphisms for Quantitative Spatial Analysis

This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial;

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Quantitative Geography

include: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; point pattern;

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The Centre of City Acoustic Environment and Spatial Morphology

The main focus of this monograph is urban acoustic environment of urban spatial morphology.It provides in-depth evaluation and research on;

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The Centre of City Wind Environment and Spatial Morphology

in-depth analysis and urban microclimate simulation. It makes a valuable contribution for the research on urban environment and urban morphology.;

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The Centre of City Wind Environment and Spatial Morphology

in-depth analysis and urban microclimate simulation. It makes a valuable contribution for the research on urban environment and urban morphology.;

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An Introduction to R for Spatial Analysis and Mapping

in spatial analysis and mapping.This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and;

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Spatial Analysis in Geomorphology

Originally published in 1972. This book covers from 'linear' statistical methods, regression and variance analysis to multivariate methods;

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Spatial Analysis in Geomorphology

Originally published in 1972. This book covers from 'linear' statistical methods, regression and variance analysis to multivariate methods;

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Geospatial Analysis and Modelling of Urban Structure and Dynamics

intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the;

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Differential Geometry, Functional Analysis and Applications

, Variational analysis, Fixed point theory, Operator theory, Fourier analysis, Wavelet analysis and Approximation theory. This volume will be;

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Quantitative Methods in Archaeology Using R

analysis. Part III covers specialized topics in archaeology, including intra-site spatial analysis, seriation, and assemblage diversity.;

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Gaussian Markov Random Fields

contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as;

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Gaussian Markov Random Fields

chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its;

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A+BE Architecture and the Built Environment - Mapping Landscape Spaces

aims to provide a framework for describing, understanding, and communicating about spatial-visual characteristics in landscape design. A pilot;

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Punishing Places

of incarceration using spatial, quantitative, and qualitative methods. This analysis has broad and urgent implications for policy reforms aimed at;

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Punishing Places

of incarceration using spatial, quantitative, and qualitative methods. This analysis has broad and urgent implications for policy reforms aimed at;

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Regional Settlement Demography in Archaeology

powerful new quantitative tools for spatial analysis (including GIS) to unleash new potential for identifying and studying ancient local;

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Advancing Quantitative Methods in Criminology and Criminal Justice

models, meta-analysis, social network designs, panel data modeling, and censored regression techniques. This book will be highly beneficial for;

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Advancing Quantitative Methods in Criminology and Criminal Justice

models, meta-analysis, social network designs, panel data modeling, and censored regression techniques. This book will be highly beneficial for;

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Geochemical Anomaly and Mineral Prospectivity Mapping in GIS

analysis of robust thresholds in mapping of geochemical anomalies. Part III explains GIS-aided and GIS-based techniques for spatial data analysis;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Health Services Research and Analytics Using Excel

, checking for patterns, data visualization and spatial analysis, interpreting variance, text analysis and much more. A concise overview of research;

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Elementary Statistics for Geographers

tools but also why and how they work. Students gain important skills for utilizing both conventional and spatial statistics in their own;

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Spatial Interaction Modelling: A Regional Science Context

between spatial modelling traditions from quantitative geography and those from spatial economics, whereby each is enhanced. Starting with a;

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Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental;

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Statistical Methods for Spatial Data Analysis

analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that;

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