Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -