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Interactive Spatial Data Analysis

A comprehensive, data-driven introduction to modern spatial data analysis, a field which is playing an increasing role in many areas;

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Geographical Data Science and Spatial Data Analysis

Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for;

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An Introduction to Spatial Data Analysis

Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be;

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Spatial Econometrics using Microdata

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on;

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Introduction to Spatial Data Analysis

Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be;

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Spatial Data Analysis

analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy;

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Bayesian Disease Mapping

, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the;

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Bayesian Disease Mapping

, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the;

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Geostatistical Functional Data Analysis

new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio;

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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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Applied Spatial Statistics and Econometrics

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different;

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Applied Spatial Statistics and Econometrics

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different;

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Spatial Point Patterns

introduction to R software, advice about collecting data, information about handling and manipulating data, and an accessible introduction to the basic;

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Spatial Data Analysis in Ecology and Agriculture Using R

-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data;

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Spatial Analysis

Spatial analysis refers to the set of analytical approaches and techniques concerned with the study of geographical elements and entities;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Analyzing Ecological Data

-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series;

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Analyzing Ecological Data

-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series;

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Spatial Data Analysis in the Social and Environmental Sciences

for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data;

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Spatial Analysis Methods and Practice

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics;

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Spatial Analysis Methods and Practice

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics;

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Spatial Analysis with R

learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second;

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Spatial Data Management

Location Based Services. The goal of this book is to provide the reader with an overview of spatial data management technology, with an emphasis on;

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Uncertainty Modelling and Quality Control for Spatial Data

aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book;

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Uncertainty Modelling and Quality Control for Spatial Data

aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book;

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Spatial Analysis

spatial analysis, for both complete census and sample data * Investigating updated treatments of spatial autocorrelation and spatio-temporal;

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