A pure Python quad tree spatial index for GIS or rendering usage.
Project description
Pyqtree is a pure Python spatial index for GIS or rendering usage. It stores and quickly retrieves items from a 2x2 rectangular grid area, and grows in depth and detail as more items are added. The actual quad tree implementation is adapted from Matt Rasmussen’s compbio library and extended for geospatial use.
Platforms
Python 2 and 3.
Dependencies
Pyqtree is written in pure Python and has no dependencies.
Installing It
Installing Pyqtree can be done by opening your terminal or commandline and typing:
pip install pyqtree
Alternatively, you can simply download the “pyqtree.py” file and place it anywhere Python can import it, such as the Python site-packages folder.
Example Usage
Start your script by importing the quad tree.
from pyqtree import Index
Setup the spatial index, giving it a bounding box area to keep track of. The bounding box being in a four-tuple: (xmin, ymin, xmax, ymax).
spindex = Index(bbox=(0, 0, 100, 100))
Populate the index with items that you want to be retrieved at a later point, along with each item’s geographic bbox.
# this example assumes you have a list of items with bbox attribute for item in items: spindex.insert(item, item.bbox)
Then when you have a region of interest and you wish to retrieve items from that region, just use the index’s intersect method. This quickly gives you a list of the stored items whose bboxes intersects your region of interests.
overlapbbox = (51, 51, 86, 86) matches = spindex.intersect(overlapbbox)
There are other things that can be done as well, but that’s it for the main usage!
More Information:
License:
This code is free to share, use, reuse, and modify according to the MIT license, see LICENSE.txt.
Credits:
Karim Bahgat
Joschua Gandert
Changes
1.0.0 (2018-09-14)
Bump to first major version
Fix so returns list instead of set
Support inserting hashable items
0.25.0 (2016-06-22)
Misc user contributions and bug fixes
0.24.0 (2015-06-18)
Previous stable PyPI version.
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