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kdb-tree's Introduction

kdb-tree

in-memory kdb tree

example

var kdbtree = require('kdb-tree')

var kdb = kdbtree({ dim: 3 })
kdb.insert([1,2,3],'a')
kdb.insert([-5,10,2],'b')
kdb.insert([3,3,3],'c')
kdb.insert([-2,1,9],'d')

var q = [[-3,3],[2,20],[1,5]]
console.log(kdb.query(q))

output:

[ { point: [ 1, 2, 3 ], value: 'a' },
  { point: [ 3, 3, 3 ], value: 'c' } ]

api

var kdbtree = require('kdb-tree')

var kdb = kdbtree(opts)

  • opts.dim - dimension to use for points (required)
  • opts.a - number of points per page (default: 4)
  • opts.b - number of regions per page (default: 3)

kdb.insert(pt, value)

Insert a point pt with a value.

var results = kdb.query(q)

Return an array of results from a bounding box query q. q is an array or [min,max] arrays for each dimension.

Each result in the results array is an object with point and value properties.

install

npm install kdb-tree

license

BSD

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