COVID-19 and the Science of Where

Michael F. Goodchild

doi:10.1007/978-3-030-94350-9_3

COVID-19 and the Science of Where

Michael F. Goodchild

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Geographic location plays a crucial role in many aspects of research about the COVID-19 pandemic. Yet measurement of geographic location is necessarily imperfect, providing one of many sources of uncertainty in geospatial analysis. The ecological fallacy and the modifiable areal unit problem may lead to false inferences from such analysis. Spatial dependence and spatial heterogeneity are empirical properties of geospatial data that also impact inference and generalizability. Data provenance is a growing issue given the many ways in which data can be manipulated in preparation for analysis. The chapter ends with a discussion of critical spatial thinking as an umbrella term that encompasses all of these issues.

Original language	English (US)
Title of host publication	COVID-19 and a World of Ad Hoc Geographies
Subtitle of host publication	Volume 1
Publisher	Springer International Publishing
Pages	29-41
Number of pages	13
Volume	1
ISBN (Electronic)	9783030943509
ISBN (Print)	9783030943493
DOIs	https://doi.org/10.1007/978-3-030-94350-9_3
State	Published - Jan 1 2022
Externally published	Yes

Keywords

Ecological fallacy
Modifiable areal unit problem
Spatial dependence
Spatial heterogeneity
Uncertainty

ASJC Scopus subject areas

General Social Sciences
General Medicine

Access to Document

10.1007/978-3-030-94350-9_3

Cite this

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AB - Geographic location plays a crucial role in many aspects of research about the COVID-19 pandemic. Yet measurement of geographic location is necessarily imperfect, providing one of many sources of uncertainty in geospatial analysis. The ecological fallacy and the modifiable areal unit problem may lead to false inferences from such analysis. Spatial dependence and spatial heterogeneity are empirical properties of geospatial data that also impact inference and generalizability. Data provenance is a growing issue given the many ways in which data can be manipulated in preparation for analysis. The chapter ends with a discussion of critical spatial thinking as an umbrella term that encompasses all of these issues.

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KW - Modifiable areal unit problem

KW - Spatial dependence

KW - Spatial heterogeneity

KW - Uncertainty

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BT - COVID-19 and a World of Ad Hoc Geographies

PB - Springer International Publishing

ER -

COVID-19 and the Science of Where

Abstract

Keywords

ASJC Scopus subject areas

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