{"id":27952,"date":"2024-10-30T13:14:36","date_gmt":"2024-10-30T13:14:36","guid":{"rendered":"https:\/\/regio-ee.vserver.zonevs.eu\/kliendilood\/"},"modified":"2025-04-17T04:36:13","modified_gmt":"2025-04-17T04:36:13","slug":"casestudies","status":"publish","type":"page","link":"https:\/\/www.regio.ee\/en\/aboutus\/casestudies\/","title":{"rendered":"Case Studies"},"content":{"rendered":"\n
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\"Banner<\/ama-row>Geoinformation Solutions<\/a>
The Baltic States Database<\/a>
Maps and Map Applications<\/a>
Shop<\/svg><\/a><\/ama-col><\/ama-row><\/div>\n<\/div>\n\n\n
Collection of detailed geospatial data<\/div>
Category: Geospatial data creation<\/a><\/div>
The company needed precisely outlined objects related to its area of interest, along with associated infrastructure and various attributes assigned to them. We created a detailed digital twin with vector data tailored to the client’s specific requirements.<\/div><\/div>\"tehtutood_valge\"<\/div>
Fiber optic network planning<\/div>
Category: Geospatial data processing<\/a><\/div>
Regio is a cooperation partner of Estonian Fiber O\u00dc<\/strong> in fiber optic network planning, preparation of construction plans, and documentation of the built network. This involves data processing and digitization using GIS\/CAD software, where our skills in interpreting orthophotos, understanding the principles of fiber optic networks, and experience in compiling, processing, and validating geospatial data are invaluable.<\/div><\/div>\"Fiber<\/div>
Transforming datasets into the appropriate format<\/div>
Category: Geospatial data processing<\/a><\/div>
The company had various surveys (as-built drawings, plans) created at different times for their managed assets, stored in multiple file formats, along with additional information in Excel spreadsheets. We consolidated all this data into a unified format, created a database, cleaned up the geometry, and prepared metadata documentation and a user guide.<\/div><\/div>\"Integrating<\/div>
Data identification, correlation, and standardization<\/div>
Category: Geospatial data processing<\/a><\/div>
The company had a large address database for its clients, where the addresses were recorded in free form and contained spelling errors. The company needed the addresses to be standardized into a uniform, structured format and also wanted to retrieve certain data from the Building Register about the buildings at those addresses. We standardized the address data, retrieved the required information from the Building Register, and consolidated all of this information into a unified table.<\/div><\/div>\"Diagram<\/div>
Analysis and Planning Dashboard in QGIS<\/div>
Category: GIS solutions and data management<\/a><\/div>
We cleaned and validated the customer address database of Saku L\u00e4te O\u00dc<\/strong>, ensuring that each address was valid and accurately referenced the building where deliveries are made. The addresses were geocoded as points on a map, and together with the water delivery route areas, we created an illustrative and informative map.\r\n\r\nWe also conducted QGIS training sessions, enabling the company\u2019s specialists to use their own data in QGIS to:\r\n