Query broadcasted news/events worldwide and visualize them using spatial aggregations.
Geospatial Knowledge supporting Intelligence workflows
Query broadcasted news worldwide and visualize them using spatial aggregations. This modern Python module represents an idiomatic client accessing the Geospatial Knowledge APIs being hosted on Rapid API Hub.
Why is it important?
Geospatial Knowledge refers to semantic information about specific locations on the Earth's surface. It includes location-enabled things - not strings - like physical features of the landscape, the location of cities or in general human activities, and their spatial distribution. Various sources like satellite imagery, location-enabled datasets, and most important any location-enabled information in the context of Open Source Intelligence (OSINT) are used to create Geospatial Knowledge. By analyzing location-enabled things an analyst is empowered to gain insights into various aspects of human activities.
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Start with the Usage section for further information, including how to install the Python module.
Query protests worldwide and visualize them using spatial aggregations.
Query armed conflict events worldwide and visualize them using spatial aggregations.
Query wildfires worldwide and visualize them using spatial aggregations.
Joins two spatially enabled feature collections based on their relative spatial locations.
Enables various geodetic functions like buffers, points from distance and direction, points along path and wedge construction.
Ready to use
The geoprotests and geofires services offer ready-to-use geospatial features representing broadcasted news related to various themes. The underlying serverless cloud-backend analyses raw geospatial locations of news articles provided by the Global Database of Events, Language and Tone (GDELT) Project.
The geoconflicts service offer ready-to-use geospatial features representing armed conflicts since 2020-01-01. The underlying serverless cloud-backend analyses raw armed conflicts of the Upsalla Conflict Data Program (UCDP).
- Hegre, Håvard, Mihai Croicu, Kristine Eck, and Stina Högbladh (July 2020) Introducing the UCDP Candidate Events Dataset. Research & Politics
Every geospatial result support the GeoJSON and Esri FeatureSet format out of the box. All endpoints support a date parameter for filtering the geospatial features. For best sustainability, the serverless cloud-backend queries the articles from the knowledge graph and calculates the geospatial features on-the-fly. You can use these geospatial features to build various mapping and geospatial applications.
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