Geometric conflation is the process undertaken to modify the coordinates of features in dataset A in order to match corresponding ones in dataset B. The overwhelming majority of the literature considers the use of points as features to define the transformation. In this article we present a procedure to consider one-dimensional curves also, which are commonly available as Global Navigation Satellite System (GNSS) tracks, routes, coastlines, and so on, in order to define the estimate of the displacements to be applied to each object in A. The procedure involves three steps, including the partial matching of corresponding curves, the computation of some analytical expression, and the addition of a correction term in order to satisfy basic cartographic rules. A numerical example is presented. © 2013 Copyright Taylor and Francis Group, LLC.
|Original language||English (US)|
|Number of pages||16|
|Journal||International Journal of Geographical Information Science|
|State||Published - Jan 2013|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Prof. Raúl Tempone from KAUST (Saudi Arabia) provided key suggestions at early stages of the research. We also acknowledge fruitful discussions with Mrs. Susana Oliveros. Data from Uruguay have been provided by the National Cadastre and the National Spatial Data Infrastructure through AGESIC. This work was supported by the ‘ESPAÑA VIRTUAL’ project funded jointly by the National Center of Geographical Information (CNIG) and the ‘Centro para el Desarrollo Tecnológico Industrial’ (CDTI) of the Spanish Ministry of Science and Technology.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.