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@@ -11,32 +11,41 @@ Rather than relying on geosparql functions (which in turn rely on geosparql supp
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This breaks the reliance on the need for the graph database to support s2 indexing and instead make use of the predicate index from the pre-materialized spatial relations.
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## Cell Generation and Integration
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There are two tools:
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1. s2.py: This generates the S2 cell structure at a desired layer. For example, generating cells at level 3 and 4.
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2. integrate.py: This performs s2 integrations against existing geometries. These may be your own geometries, they may be the output of the s2 tool.
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## Running
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### Docker
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Docker should be used to generate the s2 coverings, which can be done by running the following from the root folder.
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The project dependencies can be difficult to install; docker images are provided so that the code can be run in different environments without needing to install dependencies. Rather than offering a docker image for each cript, both scripts are included in the image and they can be called externally
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