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Spatial and Spatiotemporal Econometrics

entropy, non-parametric and spatiotemporal. An overview of spatial econometric models and methods is provided that places contributions to this;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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Spatial Econometrics

Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists;

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Spatial Econometrics

Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists;

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Spatial Econometrics and Spatial Statistics

The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered;

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Spatial Econometrics and Spatial Statistics

The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered;

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Advances in Spatial Econometrics

World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation;

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Applied Spatial Statistics and Econometrics

learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data;

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Applied Spatial Statistics and Econometrics

learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data;

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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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Spatial Synthesis

This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial;

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Hierarchical Modeling and Analysis for Spatial Data

chapter on big data that shows how the predictive process handles reasonably large datasets New chapter on spatial and spatiotemporal gradient;

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Spatial Microeconometrics

Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior;

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Spatial Microeconometrics

Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior;

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Geographic Data Mining and Knowledge Discovery

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the;

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Panel Data Econometrics with R

advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the;

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Regional Resilience to Climate and Environmental Shocks

for spatial analysis in the study of economic resilience, the book introduces spatial econometric models, their estimation and testing;

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Decentralized Spatial Computing

spatial and spatiotemporal information. In Part II he applies those concepts and techniques to the development of algorithms for decentralized;

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Spatiotemporal Patterns in Ecology and Epidemiology

epidemiology. They present the main scenarios of spatial and spatiotemporal pattern formation in deterministic models of population dynamics. The book;

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Spatiotemporal Patterns in Ecology and Epidemiology

epidemiology. They present the main scenarios of spatial and spatiotemporal pattern formation in deterministic models of population dynamics. The book;

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Spatial Econometrics

Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly;

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The Econometrics of Networks

includes thirteen chapters which covers various topics such as identification of network models, network formation, networks and spatial;

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Spatial Econometrics

based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding;

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Spatial Data Mining

spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and;

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Spatial Econometrics using Microdata

spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are;

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Mathematical Morphology in Geomorphology and GISci

via quantitative spatial reasoning Visualize spatiotemporal behavior and generate contiguous maps via spatial interpolation Incorporating;

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