- SArDeGnA is a lightweight framework to manage spatial data in Python using a grid approach.
- This framework can help you to manage Point of Interests (i.e. pubs, restaurant) or points related to trajectories.
- An example of a grid created with SArDeGnA and imported in Google Maps as KML file :
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The framework has a set of classes and related functions useful to create a grid to organize your spatial data.
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You can create a grid in just one line of code! :
Grid().create_grid([lng_center, lat_center, radius_center], radius_cell)- lng_center is the center of the grid specified in longitude
- lat_center is the center of the grid specified in latitude
- radius_center is the radius of the grid
- radius_cell is the radius of the cell within the grid
- Then, you have a set of primitives that will help you to manage the POI within the grid.
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Python 3.*
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Libraries in requirements.txt:
pip install -r requirements.txt-
GDAL - Geospatial Data Abstraction Library (GDAL2).
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Python Binding for GDAL
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In Mac, it will prefer to use brew as follow :
brew install gdal2 --HEAD- "--HEAD" to install the header
- For Linux and Microsoft, you can google : ) : install GDAL2
- Some good links for installing GDAL in Windows are :
- For MAC, I found useful to run:
brew update && brew upgrade- Note that in order to install the python binding, first check the version of installed GDAL:
(spatial-data-analysis) AMAC02RF28MG8WN:spatial-data-framework antonio.penta$ ogr2ogr --version
GDAL 2.4.0, released 2018/12/14- Then, you can run the following pip install (be sure the virtual env is activated, and you are using the pip of your virtual env):
pip install pygdal=="`gdal-config --version`.*"-
The above line has been suggested (here)[https://github.com/nextgis/pygdal/tree/master/2.2.4]
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If the installation of GDAL is ok, you should be able to run successfully the following import in your python console:
from osgeo import gdal- In my case, I have:
(spatial-data-analysis) AMAC02RF28MG8WN:spatial-data-framework antonio.penta$ python
Python 3.6.3 (default, Oct 4 2017, 06:09:05)
[GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.42.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from osgeo import gdal
>>> exit- SArDeGnA uses the virtual env descrebed in requirements.txt file, so you need to incorporate it in your env:
pip install -r requirements.txt- The attached Jupyter Notebook is using extension ipyleaflet to visualize the map.
- My suggestion is to install ipyleaflet downloading the latest development from GitHub (requires npm installed):
$ git clone https://github.com/jupyter-widgets/ipyleaflet.git
$ cd ipyleaflet
$ pip install -ee .
$ jupyter nbextension install --py --symlink --sys-prefix ipyleaflet
$ jupyter nbextension enable --py --sys-prefix ipyleaflet** Be sure to use ipython and jupyter from your virtual env **
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Be sure that the virtual env has the GDAL binding,
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To check if Jupyter notebook is using the right env, you can print the sys.path and check the path:
import sys
print(sys.path)-
Be sure to have the Ipyleaflet extension (session above)
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To enable that Jupyter notebook use your virtual env instructions here under the Installation session, ensuring to lunch 'jupyter labextension .. ' as '/path_your_env/jupyter labextension .. '
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In my case, first I activate the virtual env used for this project, then I run:
pip install ipykernel
ipython kernel install --user --name=sardegna- Lunch the jupyter pointing to the main folder:
~/Documents/virtualenv/sardegna/bin/jupyter notebook --notebook-dir=./
- If you found this code useful, please condider to make a donation to AVSI
Many thanks!
Antonio Penta