@inproceedings{b85f5f4750704d21881fe3a3f6c94e7b,
title = "Modelling spatial structures",
abstract = "Data is spatial if it contains references to space.We can easily detect explicit references, for example coordinates, but we cannot detect whether data implicitly contains references to space, and whether it has properties of spatial data, if additional semantic information is missing. In this paper, we propose a graph model that meets typical properties of spatial data. We can, by the comparison of a graph representation of a data set to the graph model, decide whether the data set (implicitly or explicitly) has these typical properties of spatial data.",
keywords = "Graph model, Principle of least effort, Scale invariance, Space, Spatial data, Spatial information, Spatial network, Spatial structure, Time, Tobler{\textquoteright}s law",
author = "Franz-Benjamin Mocnik and Frank, {Andrew U.}",
year = "2015",
doi = "10.1007/978-3-319-23374-1_3",
language = "English",
isbn = "978-3-319-23373-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "44--64",
editor = "Scott Freundshuh and Fabrikant, {Sara Irina} and Clare Davies and Scott Bell and Michela Bertolotto and Martin Raubal",
booktitle = "Spatial Information Theory",
note = "12th International Conference on Spatial Information Theory, COSIT 2015, COSIT 2015 ; Conference date: 12-10-2015 Through 16-10-2015",
}