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Error sensitive historical GIS: Identifying areal interpolation errors in time series data.

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Error sensitive historical GIS: Identifying areal interpolation errors in time series data. / Gregory, Ian N.; Ell, Paul S.
In: International Journal of Geographical Information Systems, Vol. 20, No. 2, 02.2006, p. 135-152.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Gregory, IN & Ell, PS 2006, 'Error sensitive historical GIS: Identifying areal interpolation errors in time series data.', International Journal of Geographical Information Systems, vol. 20, no. 2, pp. 135-152. https://doi.org/10.1080/13658810500399589

APA

Gregory, I. N., & Ell, P. S. (2006). Error sensitive historical GIS: Identifying areal interpolation errors in time series data. International Journal of Geographical Information Systems, 20(2), 135-152. https://doi.org/10.1080/13658810500399589

Vancouver

Gregory IN, Ell PS. Error sensitive historical GIS: Identifying areal interpolation errors in time series data. International Journal of Geographical Information Systems. 2006 Feb;20(2):135-152. doi: 10.1080/13658810500399589

Author

Gregory, Ian N. ; Ell, Paul S. / Error sensitive historical GIS: Identifying areal interpolation errors in time series data. In: International Journal of Geographical Information Systems. 2006 ; Vol. 20, No. 2. pp. 135-152.

Bibtex

@article{ee6f369c664a47178dda10d1c8661922,
title = "Error sensitive historical GIS: Identifying areal interpolation errors in time series data.",
abstract = "Historical GIS has the potential to re-invigorate our use of statistics from historical censuses and related sources. In particular, areal interpolation can be used to create long-run time-series of spatially detailed data that will enable us to enhance significantly our understanding of geographical change over periods of a century or more. The difficulty with areal interpolation, however, is that the data that it generates are estimates which will inevitably contain some error. This paper describes a technique that allows the automated identification of possible errors at the level of the individual data values.",
keywords = "Areal interpolation, Error, Historical GIS, Time series, Census",
author = "Gregory, {Ian N.} and Ell, {Paul S.}",
year = "2006",
month = feb,
doi = "10.1080/13658810500399589",
language = "English",
volume = "20",
pages = "135--152",
journal = "International Journal of Geographical Information Systems",
issn = "0269-3798",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

RIS

TY - JOUR

T1 - Error sensitive historical GIS: Identifying areal interpolation errors in time series data.

AU - Gregory, Ian N.

AU - Ell, Paul S.

PY - 2006/2

Y1 - 2006/2

N2 - Historical GIS has the potential to re-invigorate our use of statistics from historical censuses and related sources. In particular, areal interpolation can be used to create long-run time-series of spatially detailed data that will enable us to enhance significantly our understanding of geographical change over periods of a century or more. The difficulty with areal interpolation, however, is that the data that it generates are estimates which will inevitably contain some error. This paper describes a technique that allows the automated identification of possible errors at the level of the individual data values.

AB - Historical GIS has the potential to re-invigorate our use of statistics from historical censuses and related sources. In particular, areal interpolation can be used to create long-run time-series of spatially detailed data that will enable us to enhance significantly our understanding of geographical change over periods of a century or more. The difficulty with areal interpolation, however, is that the data that it generates are estimates which will inevitably contain some error. This paper describes a technique that allows the automated identification of possible errors at the level of the individual data values.

KW - Areal interpolation

KW - Error

KW - Historical GIS

KW - Time series

KW - Census

U2 - 10.1080/13658810500399589

DO - 10.1080/13658810500399589

M3 - Journal article

VL - 20

SP - 135

EP - 152

JO - International Journal of Geographical Information Systems

JF - International Journal of Geographical Information Systems

SN - 0269-3798

IS - 2

ER -