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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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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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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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Geographical Data Science and Spatial Data Analysis

consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and;

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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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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 Data Analysis

of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of 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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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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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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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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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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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 Analysis in Ecology and Agriculture Using R

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;

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Spatial Point Patterns

with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern 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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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 Methods and Practice

, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data;

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Spatial Analysis Methods and Practice

, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data;

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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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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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