Unique ID: 2015078
| Issue Date: | February 13th 2019 |
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| Last modified: | February 22nd 2019 |
Integrated Environment System (IES): using environmental sensing systems and data analytics for real-time environmental information
Using environmental sensing systems and data analytics for real-time environmental information
Singapore's National Environment Agency (NEA)'s Integrated Environment System (IES) is an integrated platform that enables the centralised collection of various environmental and weather data for processing, analysis, visualization and distribution. It aims to harness environmental sensing systems coupled with data analytics and modelling to provide real-time environmental information and thus improve predictive capabilities in order to provide early warning, pre-emptive and sensing capabilities in support of field operations for NEA officers (e.g., preventive measures can be put in place prior to the arrival of the trans-boundary haze).
Project Objective:
Other
Project Outcomes:
To provide NEA's officers with real-time environmental situational awareness via customisable dashboards. Video, business analytics and predictive models will provide guidance and information for officers both on the ground and in the office to take pre-emptive or corrective actions on a real-time basis.
Statistical Area
Project Sources
| Type Of Institution: | National statistical office |
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| Big Data Source: | Other |
| Region: | East Asia & Pacific |
| Country Area: | Singapore |
| Id Country Regional: | country |
Accessing Data
| Data Access Rights: | Broader access rights |
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Data Coverage
| Data Coverage: | All available data |
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| Coverage Geo Pop: | Whole country / high % of market |
| Cost Comments: | There are various costs associated with system development, including licences, interfacing works with the various sensor systems, etc. |
| Coverage Period: | Data from 2014 onwards |
Data Quality
| Quality Framework: | Quality of processing/throughput |
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| Quality Aspects Evaluated: | Privacy and Security, Completeness, Usability, Time Factors, Accessibility, Relevance, Institutional/Business Environment, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources |
| Quality Framework Comments: | We are working with a quality framework used for secondary data collection which had been adapted to scanner data. |
| Data Quality Concerns Comments: | Individual source sensor system is expected to scrub the data before it comes to IES. |
Methodology
| Methods Used: | Traditional statistical methods, Data visualization methods, Machine learning (Random forest, etc.) |
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Technologies
| Technologies: | GIS, Relational database, Column store database, Spreadsheet, Cloud services |
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| Technologies Comments: | Data mining tools; Data visualization tools |
Other
| Income Level: | High-income |
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| Iso: | SG |
| Timeframe To Produce Indicator: | NA |