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Modelling settlement futures: Techniques and challenges

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posted on 2022-07-15, 02:23 authored by Paul Peters, Andrew Taylor, Dean Carson, Andreas Koch
Limitations of secondary data collected by external agencies for examining demographic change in sparsely populated areas (SPAs) are well documented in this volume (especially Chapter 7) and elsewhere (for example, Taylor, 2011). Even robust data collections specifically designed to provide settlement level analysis, such as population censuses, present with a diversity of issues. Broadly, these pertain to enumeration issues, conceptual issues, collection issues, changes to collection methods over time, or simply unexplained events at individual settlements (Koch and Carson, 2012; Taylor et al., 2011). Without local knowledge of specific issues under these themes (should they exist), downstream analysis and the dissection of demographic change for settlements is obstructed by a lack of distinction between 'real' demographic shifts and those which simply represent the outcome of one or more of these influences. Alternatively, 'black swan' events (where the event - like a major shift in the sex ratio for a settlement over a short period of time) may be neither predicted nor traceable to known factors. Most often it is a combination of these, and often the precedent cause is relatively unclear, making the task of modelling time series and projecting future settlement level demographics a hefty challenge.

History

Editor

Taylor A; Carson DB; Ensign PC; Huskey L; Rasmussen RO; Saxinger G

Start Page

270

End Page

290

Number of Pages

21

ISBN-13

9781784711955

Publisher

Edward Elgar

Place of Publication

Cheltenham, UK

Open Access

  • No

External Author Affiliations

University of New Brunswick; Charles Darwin University; Universitat Salzburg

Author Research Institute

  • Centre for Regional Economics and Supply Chain (RESC)

Era Eligible

  • Yes

Chapter Number

12

Number of Chapters

19

Parent Title

Settlements at the Edge: Remote Human Settlements in Developed Nations

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