A Pattern for Features on a Hierarchical Spatial Grid
Document Type
Article
Publication Date
12-6-2021
Find this in a Library
Abstract
The integration of data along a common spatial component remains an obstacle in many problem spaces. One promising method for integrating data in such a way is through the use of a common, underlying spatial reference system, such as a Discrete Global Grid (e.g., the S2 Grid System), and pre-computing spatial relations between features and the constituent components at a spatial resolution appropriate for the data and use case. That is, by emphasizing the notion of the cell, we can examine what is in a cell, predict contents of its parent and child cells, and quickly get an overview of spatially co-located features and regions of interest without having to directly compute spatial interactions. This paper provides an ontology design pattern, to be used as a structural template, for modeling how features or regions map onto a hierarchical grid system and addresses how the attributes of these features may be inherited upwards or downwards through the hierarchy. We furthermore provide a motivating example and implementation.
Repository Citation
Shimizu, C.,
Zhu, R.,
Mai, G.,
Fisher, C.,
Cai, L.,
Schildhauer, M.,
Janowicz, K.,
Hitzler, P.,
Zhou, L.,
& Stephen, S.
(2021). A Pattern for Features on a Hierarchical Spatial Grid. Proceedings of the 10th International Joint Conference on Knowledge Graphs, IJCKG 2021, 108-114.
https://corescholar.libraries.wright.edu/cse/722
DOI
10.1145/3502223.3502236
