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Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.This Research Agenda explores the future of spatial analysis, and how the field informs and challenges the policy landscape. A wide range of contributors from different intellectual communities address the problem of causality in geographic analysis, arguing that diversity is crucial for the future success of the discipline.Chapters define and explore specific concepts and practices within the field, for instance data science and geosimulation, providing perspectives on the current state of the art of these areas within geography, and how they will shift in the future. In the first section, contributors cover the fundamentals of the topic, as well as various ways to handle the ‘spatial variable’, including the concept of space, the scale of spatial patterns and what those patterns reveal. The book then analyses schools of practice, including geographical data science, causality, generative modelling and machine learning.A Research Agenda for Spatial Analysis will prove an invaluable resource for spatial analysts and geographic information scientists interested in learning about the direction of future developments in the field. Additionally, scholars and students of human and urban geography and geographic research methods will benefit from this crucial overview of the topic.
Edited by Levi John Wolf, Associate Professor of Spatial Analysis, Richard Harris, Professor of Quantitative Social Geography, School of Geographical Sciences, University of Bristol and Alison Heppenstall, Professor of Geocomputation, School of Social and Political Sciences, University of Glasgow, UK
Contents:Introduction to A Research Agenda for Spatial Analysis 1Richard Harris, Alison Heppenstall and Levi John WolfPART I CONCEPTS IN SPATIAL ANALYSIS1 Linking spatial pattern to process: an oldchallenge with new barriers 13Trisalyn A. Nelson2 Reconstructing the map 27James Cheshire3 Space: towards a global sense of place 39Luke Bergmann and David O’Sullivan4 How to solve the scale “problem” in spatial analytics 55A. Stewart Fotheringham5 Reproducible research, and research intoreproducibility: review and prospects 67Chris BrunsdonPART II COMMUNITIES OF PRACTICE IN SPATIAL ANALYSIS6 Geographic data science: a manifesto 85Daniel Arribas-Bel and Anita Graser7 Causal, not casual, spatial data science 97Gareth Griffith, Gwilym Owen and Meng Le Zhang8 Generative modelling and geosimulation 113Clémentine Cottineau9 Progress on machine learning applications in geography 127Stephen Law, Yao Shen and Chen Zhong10 Earth observation 147Michelle Stuhlmacher11 Integrated science of movement: crossing theboundary between human mobility and animalmovement research 159Urška Demšar12 Spatial interaction modelling: a manifesto 177Francisco Rowe, Robin Lovelace and Adam Dennett13 The neighbourhood: where Wilson, Schelling andHägerstrand meet 197Ana Petrović, Maarten van Ham and David ManleyConclusion: spatial analysis – the geographer’s art? 209Richard Harris, Alison Heppenstall and Levi JohnWolf
‘A thought-provoking volume, condensing pressing and interesting issues in contemporary spatial analysis into one compact package, and, indeed, offering so much more than agenda setting: a bird’s eye perspective on key challenges in spatial analysis, a conversation starter, and a manifesto that will appeal to students, researchers, and practitioners, alike.’