r-tree

How to install osmnx in Pycharm

由 老子叫甜甜 提交于 2021-02-11 13:06:59
问题 I am trying to install OSMNX module in Pycharm (using Python 3.7.2). I tried installing it using pip install osmnx but got the following error[![error][1]][1] i have also tried using .whl files from [https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona][2] but I cannot identify how/what steps to follow. Please provide some clear steps! Most of the other question are answered w.r.t. conda environment. I have to use Pcharm only. Input in any form is highly appreciated! [1]: https://i.stack.imgur

How to install osmnx in Pycharm

由 喜你入骨 提交于 2021-02-11 13:05:38
问题 I am trying to install OSMNX module in Pycharm (using Python 3.7.2). I tried installing it using pip install osmnx but got the following error[![error][1]][1] i have also tried using .whl files from [https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona][2] but I cannot identify how/what steps to follow. Please provide some clear steps! Most of the other question are answered w.r.t. conda environment. I have to use Pcharm only. Input in any form is highly appreciated! [1]: https://i.stack.imgur

Estimating size required for memory mapped boost rtree

由 狂风中的少年 提交于 2021-02-10 15:01:03
问题 We have a scenario where we dynamically grow a memory mapped file used for boost's r-tree geometric index. We also make use of boost's interprocess memory mapped file api's. Mechanics are already sorted out in terms of unmapping the file, growing, and remapping - this all works. Thus far we've tried overestimating the size with a factor 10 of the inherent size of our coordinates, which works but is grossly over-estimated when inspecting with du . Is there some way to predict (worst-case or

Storing or accessing objects in boost r-tree

由 岁酱吖の 提交于 2021-01-27 19:37:21
问题 I am using Boost's r-tree implementation in my code. I have a list of objects with coordinates (say cities on a map, if it matters), which I wish to index in the r-tree, to perform fast NN search, etc. I have followed their iterative query example, in which trees are storing boost::geometry::model::point objects. My question: is there anyway to store objects ( i.e. the cities themselves) instead of just their coordinates in the tree? One solution I thought about is to use indexing of my own.

What kind of queries in Core Data can profit from R-Tree index on attributes?

由 穿精又带淫゛_ 提交于 2020-05-15 12:24:59
问题 After reading this article https://www.sqlite.org/rtree.html about the R*Tree in SQLite, i am currently experimenting with a 2-Dim R-Tree in a Core Data model. Particularly i expected (maybe somewhat naively) some kind of select statement on the index table but i did not see any in the SQLite debug trace when executing a fetch statement on the Region entity with indexed attributes (see predicateBoundaryIdx in the code below). My questions are: how must a Core Data model (entities, attributes)

What kind of queries in Core Data can profit from R-Tree index on attributes?

由 大憨熊 提交于 2020-05-15 12:22:45
问题 After reading this article https://www.sqlite.org/rtree.html about the R*Tree in SQLite, i am currently experimenting with a 2-Dim R-Tree in a Core Data model. Particularly i expected (maybe somewhat naively) some kind of select statement on the index table but i did not see any in the SQLite debug trace when executing a fetch statement on the Region entity with indexed attributes (see predicateBoundaryIdx in the code below). My questions are: how must a Core Data model (entities, attributes)

Any R-Tree implementation in F# (or C#)? [duplicate]

由 不羁的心 提交于 2020-01-31 05:15:05
问题 This question already has answers here : Closed 8 years ago . Possible Duplicate: Is there any documented free R-Tree implementation for .NET? Are there any R-Tree implementations in F#? Assumptions are: no need for insertion or deletion, fixed set of Geo-Fences (regions). Needs are: very fast search time. Thank you 回答1: Here's a quick translation of this one in OCaml to F#. namespace RTree open System module Envelope = type t = float * float * float * float let ranges_intersect a b a' b' = a

libspatialindex and Rtree on python

由 丶灬走出姿态 提交于 2020-01-22 14:37:28
问题 Okay, so I am trying to install libspatialspatialindex to my Ubuntu machine python. I did follow all the instructions and downloaded libspatialindex1_1.4.0-1.1_amd64.deb from http://packages.ubuntu.com/lucid/libspatialindex1 and downloaded the amd64 version of it as my machine is 64bits machine. I installed it and then jumped to Rtree python https://pypi.python.org/pypi/Rtree to download and install the Rtree in python. I followed the installation instruction given in the install.txt file

高级数据结构之R树（R-tree）

由 南笙酒味 提交于 2020-01-22 12:39:18
R树（R-tree）是一种将Ｂ树扩展到多维情况下得到的数据结构，它最初由Antonin Guttman于1984年提出。Ｂ树的结点中会存储一个键的集合，这些键把线分成片段，沿着那条线的点仅属于一个片段。因此，Ｂ树使得我们可以很容易地找到点。如果把沿线各处的点表示成Ｂ树结点，我们就能够确定点所属唯一子结点，在那里可以找到该点。 Antonin Guttman在他提出Ｒ树的经典论文中给出的Ｒ树例子 Ｒ树表示由二维或者更高维区域组成的数据，我们把它们称为数据区。一个Ｒ树的内结点对应于某个内部区域，或称“区域”，它不是普通的数据区。原则上，区域可以是任意形状，虽然实际中它经常为矩形或其他简单形状。例如上图中（a）是一棵Ｒ树，其中的一个内部结点R3R4R5就代表（b）中的一个区域，它被包含在R1之中。Ｒ树的结点用子区域替代键，子区域表示结点的子结点的内容，例如R3、R4、R5是结点R3R4R5中的键，它们中的每一个都表示（b）中的一个子区域。注意，子区域没有覆盖整个区域，只要把位于大区域内的所有数据区都完全包含在某个小区域中就合乎要求。进一步说，子区域允许有部分重叠，例如R3和R4就彼此互有重叠。当然，我们希望重叠的部分尽可能地小。 一、Ｒ树（R-tree）的定义 在R-tree中首先要明确的一个概念是 Bounding Box （或者简写为BB）。前面已经讲过，区域可以是任意形状

C++ spatialindex library: loading/storing main memory RTree from/to disk

由 雨燕双飞 提交于 2020-01-06 08:18:25
问题 I have created a main memory R* index with the help of spatialindex library in the following way (DBStream implements the interface for bulkLoading) // creating a main memory RTree memStorage = StorageManager::createNewMemoryStorageManager(); size_t capacity = 1024; bool bWriteThrough = false; fileInMem = StorageManager ::createNewRandomEvictionsBuffer(*memStorage, capacity, bWriteThrough); DBStream dstream(streets); tree = RTree::createAndBulkLoadNewRTree(SpatialIndex::RTree::BLM_STR,
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