About: Modifiable Areal Unit Problem

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modifiable Areal Unit Problem
Creator	Buzzelli, Michael
Source	Elsevier; PMC
abstract	Abstract The modifiable areal unit problem, MAUP, is ever-present although not always appreciated. Through real examples, this article outlines the basic causes of MAUP, namely changes in the size, shape, and/or orientation of spatial categories/polygons used to map areal data. The visual effects of changes to mapped data are obvious even though the impacts on our understanding of the world are profound. The article concludes with a discussion of technical and broader strategic approaches for confronting the effects of MAUP on our treatment and interpretation of areal data.
has issue date	2020-12-31(xsd:dateTime)
bibo:doi	10.1016/b978-0-08-102295-5.10406-8
has license	els-covid
sha1sum (hex)	e1d44dbb1c9744bff72bf4e8726d70d807405279
schema:url	https://doi.org/10.1016/b978-0-08-102295-5.10406-8
resource representing a document's title	Modifiable Areal Unit Problem
has PubMed Central identifier	PMC7151983
schema:publication	International Encyclopedia of Human Geography
resource representing a document's body	covid:e1d44dbb1c9744bff72bf4e8726d70d807405279#body_text
is schema:about of	named entity 'subject' named entity 'SMALL' named entity 'UNITS' named entity 'BASED' named entity 'CORRELATION' named entity 'SPATIAL SCALE' named entity 'WHERE' named entity 'STATISTICAL' named entity 'PROXIMITY' named entity 'VERSA' named entity 'RESULTS' named entity 'OBSERVATIONS' named entity 'DATA' named entity 'NUMBERS' named entity 'CHARACTERISTICS' named entity 'INSTABILITY' named entity 'SCALES' named entity 'INFLUENCE' named entity 'ECOLOGICAL' named entity 'MAPS' named entity 'ABOUT' named entity 'OUTLIERS' named entity 'SPATIAL' named entity 'SPACE' named entity 'UNCERTAINTY' named entity 'GEOGRAPHICAL' named entity 'SMALLER' named entity 'SPATIAL AUTOCORRELATION' named entity 'FALLACY' named entity 'EXPLANATORY' named entity 'LARGER' named entity 'INPUT' named entity 'EXPLAINED' named entity 'ANALYSIS' named entity 'SUBJECT' named entity 'VARIABILITY' named entity 'VICE' named entity 'THEIR' named entity 'NUMBER OF' named entity 'PROBLEM' named entity 'MODIFIABLE AREAL UNIT PROBLEM' named entity 'MAY BE' named entity 'geographical' named entity 'number' named entity 'Mistaken' named entity 'spatial scale' named entity 'assumptions' named entity 'Ecological fallacy' named entity 'The' named entity 'choropleth maps' named entity 'scales' named entity 'choropleth maps' named entity 'severe acute respiratory syndrome' named entity 'Vancouver' named entity 'Vancouver' named entity 'Vancouver' named entity 'Toronto' named entity 'World Health Organisation' named entity 'geographical data' named entity 'geographic space' named entity 'SARS' named entity 'multilevel modeling' named entity 'MAUP' named entity 'explanatory power' named entity 'statistical modeling' named entity 'MAUP' named entity 'Florida' named entity 'modifiable areal unit problem' named entity 'MAUP' named entity 'Vancouver' named entity 'correlation' named entity 'air pollution' named entity 'MAUP' named entity 'positive relationship' named entity 'spatial analysis' named entity 'Vancouver' named entity 'MAUP' named entity 'MAUP' named entity 'correlation' named entity 'remote sensing' named entity 'CNN' named entity 'choropleth map' named entity 'Vancouver'

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