python Programming Glossary: spatial

http://stackoverflow.com/questions/1425149/reverse-geocoding-without-web-access

I suggest using a variant of your first idea Use a spatial index . A spatial index is a data structure built from rectangles.. using a variant of your first idea Use a spatial index . A spatial index is a data structure built from rectangles mapping lat..

more efficient way to calculate distance in numpy?

http://stackoverflow.com/questions/17527340/more-efficient-way-to-calculate-distance-in-numpy

#Uses 26Gb return R def getR4 VVm VVs HHm HHs from scipy.spatial.distance import cdist t0 time.time precomputed_flat numpy.column_stack.. 9 Gb ram return R def getR5 VVm VVs HHm HHs from scipy.spatial.distance import cdist t0 time.time precomputed_flat numpy.column_stack.. dist inner1d deltas deltas There is of course also SciPy's spatial module cdist from scipy.spatial.distance import cdist dist cdist..

indexing spherical subset of 3d grid data in numpy

http://stackoverflow.com/questions/17663393/indexing-spherical-subset-of-3d-grid-data-in-numpy

share improve this question How about this import scipy.spatial as sp x np.linspace 0 Lx Nx y np.linspace 0 Ly Ny z np.linspace.. cutoff points_in_sphere data mask If you dont want to call spatial distance np.power np.sum np.power data center 2 axis 1 .5 points_in_sphere..

A simple Python deployment problem - a whole world of pain

http://stackoverflow.com/questions/2741507/a-simple-python-deployment-problem-a-whole-world-of-pain

Obtain Latitude and Longitude from a GeoTIFF File

http://stackoverflow.com/questions/2922532/obtain-latitude-and-longitude-from-a-geotiff-file

well defined string. A catalogue of them is available from spatial ref see for example WGS84 . from osgeo import osr gdal # get..

Inverse Distance Weighted (IDW) Interpolation with Python

http://stackoverflow.com/questions/3104781/inverse-distance-weighted-idw-interpolation-with-python

with the aid of scipy a wise choice python numpy scipy spatial interpolation share improve this question changed 20 Oct.. Invdisttree combines inverse distance weighting and scipy.spatial.KDTree . Forget the original brute force answer this is imho.. __future__ import division import numpy as np from scipy.spatial import cKDTree as KDTree # http docs.scipy.org doc scipy reference..

How to sort my paws?

http://stackoverflow.com/questions/4502656/how-to-sort-my-paws

paws are generally smaller in surface The paws are often spatially divided in left and right. However I 联 a bit skeptical about.. going to use both in different ways. Use the temporal and spatial order of the paw impacts to determine which paw is which. Try.. due to the trapezoid like shape of the pattern. A hind paw spatially falls behind the previous front paw. Therefore the hind paw..

Python Uniform Spherical Distribution

http://stackoverflow.com/questions/5408276/python-uniform-spherical-distribution

fit in the hypersphere of finite radius r with a uniform spatial distribution. Roger Stafford 12 23 05 X randn m n s2 sum X.^2..

Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering?

http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means

kmeans that uses any of the 20 odd distances in scipy.spatial.distance or a user function. Comments would be welcome this.. # kmeans.py using any of the 20 odd metrics in scipy.spatial.distance # kmeanssample 2 pass first sample sqrt N from __future__.. division import random import numpy as np from scipy.spatial.distance import cdist # scipy spatial distance.py # http docs.scipy.org..

Calculating the percentage of variance measure for k-means?

http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means

as cosine similarity is used EDIT 2 Distortion from scipy.spatial.distance import cdist D cdist points centroids 'euclidean' sum.. as a distance measure . You can also use the scipy.spatial.distance.cdist function to calculate the distances with the.. as np from scipy.cluster.vq import kmeans vq from scipy.spatial.distance import cdist import matplotlib.pyplot as plt # load..

Search and replace multiple lines in xml/text files using python

http://stackoverflow.com/questions/9058867/search-and-replace-multiple-lines-in-xml-text-files-using-python

node in tree.findall '. theme' node.text str FileDesc_obj.spatialReference.name EPSG str FileDesc_obj.spatialReference.factoryCode.. FileDesc_obj.spatialReference.name EPSG str FileDesc_obj.spatialReference.factoryCode print node.text projection_info Zone FileDesc_obj.spatialReference.name.. print node.text projection_info Zone FileDesc_obj.spatialReference.name if GCS in str FileDesc_obj.spatialReference.name..

Map of all points below a certain time of travel?

http://stackoverflow.com/questions/9403699/map-of-all-points-below-a-certain-time-of-travel

traveltime a command that uses Google Maps to provide spatial information for data. The traveltime command takes latitude..

Rectangular bounding box around blobs in a monochrome image using python

http://stackoverflow.com/questions/9525313/rectangular-bounding-box-around-blobs-in-a-monochrome-image-using-python

numpy as np import scipy.ndimage as ndimage import scipy.spatial as spatial import scipy.misc as misc import matplotlib.pyplot.. np import scipy.ndimage as ndimage import scipy.spatial as spatial import scipy.misc as misc import matplotlib.pyplot as plt import.. so we can find corners that are nearby efficiently. tree spatial.KDTree corners new_corners for corner in ulcorners bbox bbox_map..