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Spatial analysis assists theoretical understanding and empirical testing in the social sciences, and rapidly expanding applications of geographic information technologies have advanced the spatial data-gathering needed for spatial analysis and model making. This much-needed volume covers outstanding examples of spatial thinking in the social sciences, with each chapter showing some aspect of how certain social processes can be understood by analyzing their spatial context. The audience for this work is as trans-disciplinary as its authorship because it contains approaches and methodologies use

Spatial analysis (Statistics) --- Population geography --- Demography --- Human geography --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Statistical methods. --- Social sciences --- Research.

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Geography --- Mathematical statistics --- Spatial analysis (Statistics) --- Mathematics --- Mathematics. --- Spatial analysis (Statistics). --- Analyse spatiale (Statistique) --- Géographie --- Mathématiques. --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Methodology --- Geography - Mathematics

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Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others.

Big data. --- Spatial analysis (Statistics) --- Data processing. --- Data sets, Large --- Large data sets --- Data sets --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Urban geography

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The predictability of the physical arrangement of plants, at whatever scale it is viewed, is referred to as their spatial pattern. Spatial pattern is a crucial aspect of vegetation which has important implications not only for the plants themselves, but also for other organisms which interact with plants, such as herbivores and pollinators, or those animals for which plants provide a habitat. This book describes and evaluates methods for detecting and quantifying a variety of characteristics of spatial pattern. As well as discussing the concepts on which these techniques are based, examples from real field studies and worked examples are included, which, together with numerous line figures, help guide the reader through the text. The result is a book that will be of value to graduate students and research workers in the fields of vegetation science, conservation biology and applied ecology.

Plant ecology --- Spatial analysis (Statistics) --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Botany --- Phytoecology --- Plants --- Vegetation ecology --- Ecology --- Statistical methods. --- Floristic ecology

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The spatial and temporal dimensions of ecological phenomena have always been inherent in the conceptual framework of ecology, but only recently have they been incorporated explicitly into ecological theory, sampling design, experimental design and models. Statistical techniques for spatial analysis of ecological data are burgeoning and many ecologists are unfamiliar with what is available and how the techniques should be used correctly. This book gives an overview of the wide range of spatial statistics available to analyse ecological data, and provides advice and guidance for graduate students and practising researchers who are either about to embark on spatial analysis in ecological studies or who have started but are unsure how to proceed. Only a basic understanding of statistics is assumed and many schematic illustrations are given to complement or replace mathematical technicalities, making the book accessible to ecologists wishing to enter this important and fast-growing field for the first time.

Ecology --- Spatial analysis (Statistics) --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Statistical methods. --- Spatial analysis (Statistics). --- Geografie --- Landschapskunde --- Ecologie. --- Ecologie --- Analyse spatiale (Statistique) --- Statistical methods --- Méthodes statistiques