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Distance-Weighted Geographic Interpolation

Bibliographic Data

ID4139998
AuthorsG J G Upton (University of Essex), Graham Upton (0000-0002-0526-8247, University of Essex, corresponding author)
Year1985
Volume17
Issue5
Pages667-671
Publication date1985-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a170667
PMID12340141
OpenAlexW2068258462
LanguageEN
Citations received3
References cited3

The results of estimates of population density for individual states of the United States of America are compared with those obtained previously by Kennedy and Tobler. The new estimates are much simpler to calculate and of equal accuracy. However, neither method utilises geographical information

Cartography · Geodesy · Geography · Population · Sociology · Statistics · Computer Science · Demography · Economics of Agriculture and Food Markets · Impact of Light on Environment and Health · Mathematics · Urban, Neighborhood, and Segregation Studies · Artificial Intelligence

  • Spatial Data Analysis

    Open Access•Robert Haining•Spatial Data Analysis•2003

  • Rectangular cartograms, spatial autocorrelation, and interpolation

    Open Access•Graham J G Upton, Graham Upton•Papers of the Regional Science…•1991

  • Statistical Analysis of Spatial Data in the Presence of Missing Observations

    Open Access•D A Griffiths, Daniel A Griffith et al.•Environment and Planning A…•1989

  • Spatial Statistics

    Open Access•Brian D Ripley•Spatial statistics•1981

  • Spatial Processes

    Andrew D Cliff, J K Ord•Spatial Processes•1981

Unique citing works3
Citations per year0,08
Citation span1989 - 2003 (15)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae