spatial-trees

2014-08-26

No Description

Upstream URL

github.com/rpav/spatial-trees

License

Not determined

README

This code was written by Christophe Rhodes, and the following description was taken from cliki.net.

spatial-trees

spatial-trees is a set of dynamic index data structures for spatially-extended data. The flavors provided are, as of the 0.1 release (on 2004-12-03):

  • R-trees, as in R-TREES: A DYNAMIC INDEX STRUCTURE FOR SPATIAL SEARCHING, Antonin Guttman, Proc. ACM SIGMOD Int. Conf. on Management of Data, 1984.

  • Greene-trees, as in An Implementation and Performance Analysis of Spatial Data Access Methods, Diane Greene, Proc. 5th IEEE Int. Conf. on Data Engineering, 1989.

  • R*-trees, as in The R*-tree: An Efficient and Robust Access Method for Points and Rectangles, Beckmann, Kriegel, Schneider and Seeger, Proc. ACM Int. Conf. on Management of Data, 1990

  • X-trees, as in The X-tree: An Index Structure for High-Dimensional Data, Berchtold, Keim and Kriegel, Proc. 22th Int. Conf. on Very Large Databases, 1996

Future work planned includes performance enhancements, incorporation of more index structures, and some work on supporting more optimal indexing when the entire set of data is known at index creation time; for more details, see the TODO file in the binary distribution.

The code is licensed BSD-style, and is intended to be similar in spirit to Nathan Froyd's TREES Library.

Currently quicklisp-loadable.

Here are some instructions:

  • Read the API first
  • For Tutorial, see tutorial.lisp
  • For Testing, run (asdf:test-system :spatial-trees).
  • In order to test a visual inspector, run (asdf:load-system :spatial-trees-viz) and the mcclim-based visualizer will show up.

Dependencies (4)

  • alexandria
  • fiveam
  • iterate
  • optima

Dependents (2)

  • GitHub
  • Quicklisp