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Modelling spatial processes in quantitative human geography

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In this paper, the authors discuss the nature of processes relating to human behaviour and how to model such processes when they vary over space, and describe the role of local modelling and how the bandwidth bandwidth is used.
Abstract
We discuss the nature of processes relating to human behaviour and how to model such processes when they vary over space. In so doing, we describe the role of local modelling and how the bandwidth ...

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Mostly pointless spatial econometrics

TL;DR: This work argues that identification problems bedevil most applied spatial research and advocates an alternative approach based on the ‘experimental paradigm’ which puts issues of identification and causality at centre stage.
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On the importance of thinking locally for statistics and society

TL;DR: In this paper , the authors examine the implications of thinking locally not only for modeling spatial processes but also more broadly in terms of our understanding of behavior in space, commenting on replicability and how local models can be used to measure previously unmeasurable place-based 'contextual' effects.
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On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes

TL;DR: In this paper , the authors examined bandwidth at a conceptual, operational and empirical level within the framework of geographically weighted regression, one of the more frequently employed local spatial models, and outlined how bandwidth relates to three characteristics of spatial processes: variation, dependence and strength.
References
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Book

Place and placelessness

Edward Relph
Journal ArticleDOI

Principles of geostatistics

G. Matheron
- 01 Dec 1963 - 
TL;DR: In this article, the authors present a new science leading to such an approach, namely geostatistics, which is a new approach for estimating the estimation of ore grades and reserves.
Book

Hierarchical Modeling and Analysis for Spatial Data

TL;DR: Matrix Theory and Spatial Computing Methods Answers to Selected Exercises REFERENCES AUTHOR INDEX SUBJECT INDEX Short TOC
Book

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

TL;DR: In this paper, the basic GWR model is extended to include local statistics and local models for spatial data, and a software for Geographically Weighting Regression is described. But this software is not suitable for the analysis of large scale data.
Journal ArticleDOI

Local Spatial Autocorrelation Statistics: Distributional Issues and an Application

J. K. Ord, +1 more
TL;DR: In this paper, the statistics Gi(d) and Gi*(d), introduced in Getis and Ord (1992) for the study of local pattern in spatial data, are extended and their properties further explored.
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