This news article contains pertinent information about the major trends in the WISKI software. All of our users, as well as organizations who are interested in WISKI are urged to provide feedback on the topics below. Implementing new features and creating new trends, and the quality of such relies immensely on the input from users who work on real projects and who can also provide us with field-proven insights.
Field visits fulfil many purposes: maintenance, gauging, sampling, etc.. Field visit frequency is pivotal for meeting quality demands. Both well-maintained devices and sampling periodicity are performance indicators of operational measurement networks.
How can activities in field visits be planned/scheduled and then used as quality indicators for data validation? Is one format for all field devices sufficient?
Decision-making is dependant upon forecasts. Typically, models deliver several potential scenarios (ensembles). WISKI’s Ensemble storage keeps ensemble records for every model run, safeguarding the previous results. Is there a need for further analysis and statistics of these ensembles?
Time and Space
ESRI and KISTERS cooperate to provide the best of both worlds from desktop computers to servers, and even to the cloud. The goal is to produce and establish a rich foundation for new solutions by seamlessly interfacing ArcGIS and WISKI. See the opposite page for a practical example.
The number of measurement devices and field equipment deployed, calibrated and operated within modern monitoring networks is increasing exponentially. Corporate asset management systems may be overkill. How to track devices including links to their data records? Does WISKI need to expand?
Net-based tools can provide support for citizen participation. What kind of information can be recorded by mobile devices? How can citizens’ awareness and efforts help us to explore other data sources?
Create it if does not exist
To accommodate unforeseen data in random order, WISKI offers a consultant readable interface that can be triggered at the time of import in order to create stations upon the arrival of a single record. This is a huge benefit for data-driven archives.
KISTERS’ Water Quality Module (KiWQM) was overhauled in close cooperation with European, US and Australian agencies. Water quality information centres depend on their ability to import and organise millions of sample results. The chain of custody is a key feature here since all steps from bottle to the result must be traceable and transparent. Increasingly, biological samples are added to physical and chemical water quality indicators. Currently, a complete taxonomical classification is under development for WISKI.
Radar Data Management
If “All is a time series”, then raster radar data is most certainly one, too! The existing time series data structure has been extended, adding new data types that accommodate radar data images. That’s not all: WISKI will not only store the data but provide raster to raster and raster to point calculations, both configurable from within the familiar GUI and then visualized in the WISKI map.