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Warwick Q-Step Masterclass: Spatial Analysis

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Radcliffe Conference and Training Centre (Space 1)

University of Warwick

Gibbet Hill Road

Coventry

CV4 8AH

United Kingdom

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PLEASE DO NOT REGISTER FOR THIS EVENT IF YOU HAVE NO INTENTION OF ATTENDING.

Although places are free to students, the Q-Step Centre incurs substantial costs for these events which cannot be refunded in the event that registered students do not turn up on the day. Please make every effort to inform us in advance of the event if you are unable to attend or you can cancel your place directly on Eventbrite.

The fith in our series of Q-Step Masterclasses (workshop-style sessions focusing on quantitative/methods skills/learning in topical and relevant subject areas), the Warwick Q-Step Centre is delighted to host this Masterclass on Spatial Analysis, delivered by René Westerholt - Geo-Information Scientist at Heidelberg University.

This Masterclass is aimed primarily at postgraduate students on our 3 Quantitative Social Science degrees. Final year Q-Step undergraduate students, interested in learning enhancement opportunities, are also invited to attend. Depending on numbers we may be abel to open the event up to PG students in other relevant subject areas though out the University.

Spatial Analysis

Geographical space provides a context for social and other processes. For example, the topographical arrangement of a region can influence people's mobility behaviour, and regulations that are limited to certain geographic political jurisdictions can restrict economic activity. But beyond the role of geography as a mere context supplier, the spatial behaviour of processes is often of independent interest. For example, the noise caused by traffic has a proactive mode of spatial diffusion, which can be statistically characterized and modelled. Similarly, socio-economic indicators such as income levels, which are aggregated in censuses, are often spatially structured by people's decisions. The latter are subject to spatial dependencies, e. g., in which similar groups of the population settle close to each other. Another example is the proliferation of a disease, which requires physical contact of spatial units.

The three types of spatial dispersal shown above use different parts of a local geographic arrangement. While noise is based on Euclidean distance, people use contextual geographic factors to choose their place of residence. In contrast, diseases might utilize topological neighbourhood definitions. Clearly, when analysing spatial dispersal behaviours, geographic space itself drives the behaviour of random variables, rather than just providing a context in the outlined cases.

A thorough understanding of spatial processes and their use of geographic space requires the investigation and characterisation of the interrelationships between the processes and the parts of local geographic layouts relevant for these processes. The investigation of these and similar questions is the main objective of the field of spatial analysis, which enables spatial hotspot identification, geographic cluster formation and modelling.

Outline

This course introduces students to spatial analysis, an interdisciplinary field with roots in geography, statistics, economics and regional studies. The basic ideas of the course are divided into two parts: On the one hand, the participants get an overview of the most important concepts of spatial analysis, both theoretical and practical. On the other hand, a second objective is to get to know the spatial analysis pipeline, including the design of an analysis and the ability to translate statistical results into understandable formulations aimed at the general public. These two objectives will be pursued throughout the course.

The contents of the Masterclass include:

  • Exploratory spatial data analysis (morning session)

  • What is special about spatial?

  • The problem of spatial autocorrelation

  • Estimating and assessing spatial structure

  • Spatial regression modelling (afternoon session)

  • Global spatial regression models

  • Local spatial regression models

  • Spatial filtering

We will approach these topics in the practical parts by using GeoDa (a GUI-based spatial analysis tool developed by Luc Anselin) and relevant R packages. Please make sure to have GeoDa, R and RStudio installed on your laptop before attending the class (download links are given below).

René is happy to answer your questions: westerholt@uni-heidelberg.de

Downloads:

R (choose the latest stable release): https://cran.ma.imperial.ac.uk/

RStudio Desktop: https://www.rstudio.com/products/rstudio/download/#download

GeoDa: http://geodacenter.github.io/download.html

PLEASE NOTE: This event is for Warwick Uniervsity students only. There is no option to attend parts of the Masterclass, you must be able to attend for the whole day.

Attendance is free and refreshments, including lunch, will be provided. Registration is required as places are strictly limited. So book your place now!

Further information about the Warwick Q-Step Masterclass Programme 2017/18 can be found on our website.

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Date and Time

Location

Radcliffe Conference and Training Centre (Space 1)

University of Warwick

Gibbet Hill Road

Coventry

CV4 8AH

United Kingdom

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