Nature of Spatial Data, Accuracy, and Validation

Authored by: Becky P.Y. Loo , Tessa Kate Anderson

Spatial Analysis Methods of Road Traffic Collisions

Print publication date:  September  2015
Online publication date:  December  2015

Print ISBN: 9781439874127
eBook ISBN: 9781439874134
Adobe ISBN:


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Road collision data are subject to the same issues of any geographical data, namely uncertainties, inaccuracies, quality, scale, validation, and error. Road collision data can be fraught with challenges in terms of understanding the very nature of how it was collected, spatial resolution, accounting for inaccuracies, and ensuring data quality. This chapter reports on the nature of spatial road collision data and looks at issues of measurement, boundaries, transformation, time, coverage, scale, relevance, positional accuracy, and classifications. Inherently, road collision data are collected for administrative purposes rather than for scientific research; hence there is a need to validate and edit the data before conducting scientific analysis. Spatial concepts that are associated with road collisions are similar to those associated with many other geographical databases. However, the analysis of road collision data relies critically upon data quality and consistency in order to monitor and reduce road collisions. This chapter will outline some issues and examples on spatial data collection and use within the larger collision database.

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