- ArcGIS
- JavaScript
- UAV
- .Net
- Python
- PostGIS
- GeoServer
- Leaflet
- PostgreSQL
- C++
C++
Project objective was to design a new data collection process so a leading map maker can provide the most up-to-date maps to their users and stay ahead of competition.
The digital map provider can remain a leader in the industry only if their maps remain accurate and up-to-date. To collect accurate information, the map provider typically collects geo data from geotagged videos that are collected by field teams using specialized vehicles with video cameras. The field teams regularly visit assigned areas to record changes and update the client’s maps accordingly. Changes, however, can occur more often than the regularly scheduled field trips. Yet, these changes need to be reflected in client’s maps as soon as possible, or they will begin losing users. To ensure changes are recorded as quickly as possible, the client asked Intetics to come up with an alternative solution to gathering and verifying geodata.
A major European construction consulting company needed to develop an electronic system for long-term scheduling of residential development. The client specialized in assisting their customers with choosing best locations for new buildings. The choice of suitable locations was based on a comprehensive analysis of urban development, using satellite images, ecological and social data, traffic information, and city master plans.
The municipality of the largest city in Ukraine wanted to develop a GIS application to automate and centralize the work of all municipal departments. They needed a cooperative partner with experience in GIS development, who understood the peculiarities of municipal economy. They wanted a desktop GIS application that supported offline synchronization and could search, edit and analyze data stored in the municipal GIS system. Also, the application had to be simple enough to be used by users without GIS software experience.
Europe’s major geospatial services provider needed to update information in their POI (point of interest) database. This database needs to be updated regularly with new POIs from around the word. The updates have to be carried out quickly in order to provide users with the most relevant information. The database update process included spatial analysis, data processing and geodatabase editing. All POI data were obtained from various sources and required verification and complex analysis. Up to now, most of the update work has been performed manually. Despite the fact that the client was experienced in spatial analysis and geospatial data processing, they needed an extra set of resources to process the big amount of data.
- QGIS
- GDAL
- LIDAR
- Qt
- Java
- Civil 3D
- MapXtreme
- PHP
- MySQL
- GNSS
- GPS
- DotSpatial
- GlobalMapper
- SpatialLite
- MapInfo
- CityEngine
- Inpho
- Orfeo ToolBox
- Machine learning
Commercial vs. Open Source: A comparison of GIS Software
We are conditioned to think that high price equals high value. Because of this, we always assume that something we’ve paid for is better than something free. But is that true in every case?