istSOS-Data Analysis and statistical tool suite (GSoC 2017)
istsos2 provides easily manage your sensor network and distribute your data in a standard way.
The primary goal of my project was to create
OAT(Data analysis and statistics) extension in RESTFull Web api and
OAT extension having data analysis and statistical tools for
istSOS which is be used to automate the creation of statisticate documents using OAT library and harvesting the data from an istSOS server.
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.
OAT(Observation Analysis Tool)
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.
- Understanding istSOS structure and OAT package
- Working with extjs tools in a concurrent environment.
- Developing consistent suits.
Scope for future improvements
- fuctionality add sensor through (CSV, istSOS, Raw)data in
Add sensor nameGUI in
- fuctionality add in
- functionalty add in
###Data analysis and statistics tool suit Pool
###Data analysis and statistics tool suit