OGC Validation Tool
10-17, 11:25– (Pacific/Auckland), Te Iringa

The OGC provides standards for Geospatial data as the quality of Geospatial data is of paramount importance in today's world. The OGC Validator, or Essential Geometry Validation tool, is a cloud app offered as a SaaS that allows users to validate geospatial data files against the OGC standards.

The Essential Geometry Validation tool is a solution that runs in the cloud and allows anyone with an internet connection to upload geospatial data files for validation. It produces a report with all the defects of the uploaded data according to OGC standards. The failures can also be seen graphically on a map.
It uses a very simple workflow: upload a file, click on CONTINUE and download the report. Additionally rule violations can be seen on a map within the app.

The app accepts the most common file-based GIS format:
- ESRI File GeoDatabase
- ESRI Shapefile
- GeoPackage

Andrej Mocicka is the Country Manager for 1Spatial Australia, with over 40 years experience in the Geospatial industry he brings a broad range of knowledge and skills to the profession. Andrejs career has crossed many disciplines of the Spatial industry from field surveying through to managing IT departments, sales and marketing to his current position of managing a team of highly professional consultants from a sales and technical level.

Jon is an expert in interdisciplinary knowledge application. Beginning his career in academic research he synthesized knowledge from electrohydrodynamics, high precision instrumentation, materials science and data science to unravel fundamental properties of the electrospinning nanofabrication process. He followed this by giving back to the community by leading the STEM promotion initiative for Engineering in Victoria for two years before returning to academia to lecture on Mobile Communications Networking. His next leap was to work with partners of NBN to help solve the challenging problem of designing a cost effective network by reusing existing infrastructure. Finally he has recently landed in the data science space, delivering solutions relating to predictive asset maintenance and unsupervised data segmentation. Each step in his career he has been able to draw knowledge and expertise from prior disciplines and apply them in relevant ways. This has allowed him to find creative and novel solutions to existing and sometimes intractable problems.