GitHub - rahulworld/Data-analysis: (Google Summer of Code 2017) Data analysis and statastical tool suit: istsos2 provides easily manage your sensor network and distribute your data in a standard way. which is be used to automate the creation of statisticate documents using OAT(Observation analysis tool) and harvesting the data from an istSOS server.

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(Google Summer of Code 2017) Data analysis and statastical tool suit: istsos2 provides easily manage your sensor network and distribute your data in a standard way. which is be used to automate the creation of statisticate documents using OAT(Observation analysis tool) and harvesting the data from an istSOS server.

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Name		Name	Last commit message	Last commit date
Latest commit History 89 Commits
.idea		.idea
examples		examples
interface		interface
istsoslib		istsoslib
lib		lib
scripts		scripts
services		services
walib		walib
wnslib		wnslib
CLA.txt		CLA.txt
COMMITTERS.txt		COMMITTERS.txt
GPL.txt		GPL.txt
LICENSE.txt		LICENSE.txt
README.txt		README.txt
RFC.txt		RFC.txt
VERSION.txt		VERSION.txt
application.py		application.py
application_istsoslib.py		application_istsoslib.py
application_walib.py		application_walib.py
application_wnslib.py		application_wnslib.py
auth.py		auth.py
config.py		config.py
makecheck.py		makecheck.py
print.txt		print.txt
runAllTests.py		runAllTests.py
scheduler.py		scheduler.py
scheduler_notification.py		scheduler_notification.py
test.py		test.py
waconf2sos.py		waconf2sos.py

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# istsos2
Easily manage your sensor network and distribute your data in a standard way

istSOS is an OGC SOS server implementation written in Python. istSOS allows for managing and dispatch observations from monitoring sensors according to the Sensor Observation Service standard.

The project provides also a Graphical user Interface that allows for easing the daily operations and a RESTful Web api for automatizing administration procedures.

For further information, please refer to the istSOS website: <http://istsos.org/>

istSOS is released under the GPL License, and runs on all major platforms (Windows, Linux, Mac OS X), even though tests were conducted under a Linux environment.

OAT is a Python package which is integrated in the istSOS through an interface exposing its features to modellers and non programmer users. OAT library Method class which is designated to represent a processing method. The library applies the behavioral visitor pattern which allows the separation of an algorithm from the object on which it operates.

From a dependency point of view, OAT takes advantage of the PANDAS (McKinney, 2010), NUMPY and SCIPY (Van der Walt et. al. 2011) packages.