- ArcGIS
- JavaScript
- UAV
- .Net
- Python
- PostGIS
- GeoServer
- Leaflet
- PostgreSQL
- C++
- QGIS
QGIS
Project objective was to help a major GIS solutions provider build a data processing center to enhance their map-making capabilities in Eastern Europe.
The geospatial solutions provider already had data that covered a multitude of countries on all continents and faced growing demand, but they lacked data about the Eastern European region. To provide a full spectrum of geographic information to their users, the GIS provider needed to find a strategic partner in Eastern Europe able to set up an offshore center to process geographic data quickly and cost-effectively. The data processing center had to be completely dedicated to the client, and required competent and technically skilled staff to return a highly accurate product. It had to be fully secured to ensure data protection, and it had to be scalable to match the scope of each project.
In creating a specialized GIS of the flooded Ukrainian territories on the QGIS platform, it was necessary to shift the existing process from processing data using paper questionnaires to GIS processing.
Project objective was to source and clean geospatial data and create a map of parks and recreation areas in major US cities, which will enrich the provider’s app, enabling users to make better location decisions.
The client produces detailed hyper-local analyses and informative visuals using urban analytics. Their product is an application that makes location-based decisions, such as property investment or new store location, quicker and easier. The client’s main focus is software development and algorithmization, but this project involved atypical tasks for them: collecting different types of spatial and non-spatial data from a variety of open sources and processing them to create consistent and accurate maps. While part of the data could be taken from open public sources and licensed, some data had to first be collected and structured appropriately.
The Danube Biosphere Reserve, one of the leading organizations focused on preserving animal and plant life around the river Danube, needed focused GIS training. The training would ideally have to be tailored for a specific group of experts in the natural and environmental protection field.
The Reserve is one of the largest wetlands consisting of reed beds, water channels, numerous lakes, flooded forests and remnants of steppes. It has a total area of 4,180 km2, an area which needs to be managed and preserved strategically. One of the best ways for the Reserve to continue their preservation work is to leverage latest IT systems, including integration of GIS technologies.
The Reserve had a staff of scientists and researchers, but they wanted to improve their staff’s understanding GIS technologies and provide tools for them to use these technologies in their daily work. They were looking for a technological partner who would teach them about GIS, so they could develop, implement and monitor the Reserve’s territory using the latest technology. - 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?