Typically, a geospatial analyst starts visualizing operational data having location information on a map. A basemap defines the geographic context and allows us thematic layering of our data. We try to gain new knowledge based on the spatial distribution of the data. A geospatial analyst almost always doesn’t have the time and skills to create high-quality basemaps from raw geographic features. Our task is to analyze the space and time-related information. This is our core competence that we should rely on.

The easiest way to access ready to go basemaps is to use cloud-based map services. As an experienced user…

I received a lot of feedback about my considerations of building a Geospatial Intelligence App being based on Qt. You can take a closer look at this story here: Design considerations for a Geospatial Intelligence App and it should be Qt.

There is a need for a high level comparison of different technologies to get a better understanding why we want to use Qt. For this proof of concept we are focusing on desktop development and try to develop a standalone app which offers basemap visualization, feature rendering and querying operational intelligence data.

Common native runtime core offering geospatial functionality

A Geospatial Intelligence App empowers the analyst to gain insights by analyzing spatial information and therefore should be designed with map centric workflows in mind.

Functional requirements

In general, data can be seen as information collected by observing real world events. Data only offers a small point of view and you cannot see the big picture by just focusing on this small extract. You have to put all the available information in a bigger context. Data having spatial information can be easily visualized in a map and the map defines the bigger spatial context. …

Geospatial Intelligence was, is and will be one of the most important intelligence disciplines. By analyzing geospatial information an analyst is empowered to gain insights into various aspects of human activities.

Geospatial information is usually combined with various properties containing information about the when, what, who and unluckily not often the why. Spatial analysis are really effective by using the locations and quantitative measures of the related properties.

So after all, you have to deal with a lot of uncertainty again or as Carl von Clausewitz said: “In short, most intelligence is false.”

The performance of analysis models depends on…

Jan Tschada

Geospatial Intelligence Engineer from Germany https://geoint.blog

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