Matt Perry, Ecotrust Portland OR
Software Developer/Data Analyst by way of Natural Resource Planning and GIS
Ecotrust: ecosystem resilience but also resilient cultures and economies
| sudo apt-get build-dep grass | |
| svn checkout https://svn.osgeo.org/grass/grass/trunk grass7_trunk | |
| cd grass7_trunk | |
| sh configure_grass71.sh | |
| make | |
| sudo make install |
| r.external input=/home/mperry/Desktop/landsat_test/LC80470282013287LGN00_B5.TIF \ | |
| output=LC80470282013287LGN00_B5 -e -o | |
| r.external input=/home/mperry/Desktop/landsat_test/LC80470282013287LGN00_B6.TIF \ | |
| output=LC80470282013287LGN00_B6 -e -o | |
| r.external input=/home/mperry/Desktop/landsat_test/LC80470282013287LGN00_B7.TIF \ | |
| output=LC80470282013287LGN00_B7 -e -o | |
| r.external input=/home/mperry/Desktop/landsat_test/LC80470282013287LGN00_B8.TIF \ | |
| output=LC80470282013287LGN00_B8 -e -o | |
| r.external input=/home/mperry/Desktop/landsat_test/LC80470282013287LGN00_B9.TIF \ | |
| output=LC80470282013287LGN00_B9 -e -o |
| testlist = [6.300000190734863, 61.0, 1.0, 560.0, 390.0, 12.0, 363.0, 18.0, 11.0] | |
| test = np.array(test) | |
| rf.predict(test) # 19 | |
| # Find the training data corresponding to this class | |
| xs19 = train_xs[train_y == 19] | |
| centroid19 = xs19.mean(axis=0) | |
| # Look at the range of training data | |
| lower = xs19.min(axis=0) |
| import sys | |
| from django.core.management import setup_environ | |
| appdir = '/usr/local/apps/blah' | |
| sys.path.append(appdir) | |
| import settings | |
| setup_environ(settings) | |
| ############################## | |
| from django.core import mail | |
| print "Sending mail to someone@internal.example.com...", |
Start with two datagframes, one point, one polygon
ipdb> polydf
BoroCode BoroName Shape_Area Shape_Leng \
0 5 Staten Island 1.623847e+09 330454.175933
1 3 Brooklyn 1.937810e+09 741227.337073
2 4 Queens 3.045079e+09 896875.396449
3 1 Manhattan 6.364308e+08 358400.912836
4 2 Bronx 1.186822e+09 464475.145651
| If your image tests are failing and the images look fine, it's due to the tolerance of the comparison function. | |
| Slight differences in platforms or image libs might generate subtly different images. | |
| First, copy the tests/baseline_images/test_plotting/*_plot.png to a temp directory to look at later | |
| Change GENERATE_BASELINE in tests/test_plotting.py to True | |
| Run tests | |
| Visually compare the new images to the old to make sure they are basically the same |
| <!doctype><html><head> | |
| <meta charset="utf-8"> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
| <title>Cool Satelite Imagery</title> | |
| <meta name="description" content=""> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <link rel="icon" type="image/x-icon" href="http://cartodb.github.io/odyssey.js/sandbox/favicon.png"> | |
| <link rel="icon" type="image/png" href="http://cartodb.github.io/odyssey.js/sandbox/favicon.png"> |
| """ | |
| from http://msdn.microsoft.com/en-us/library/bb259689.aspx | |
| ground resolution = cos(latitude * pi/180) * earth circumference / map width | |
| ground resolution = (cos(latitude * pi/180) * 2 * pi * 6378137 meters) / (256 * 2^level pixels) | |
| map scale = 1 : ground resolution * screen dpi / 0.0254 meters/inch | |
| map scale = 1 : (cos(latitude * pi/180) * 2 * pi * 6378137 * screen dpi) / (256 * 2 level * 0.0254) | |
| """ |
If you get this error when trying to boot a vagrant/virtualbox machine:
[default] Mounting shared folders...
[default] -- /vagrant
Failed to mount folders in Linux guest. This is usually beacuse
the "vboxsf" file system is not available. Please verify that
the guest additions are properly installed in the guest and
can work properly. The command attempted was: