From the course: Geospatial Data Analytics Essential Training
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Geospatial data use cases - Python Tutorial
From the course: Geospatial Data Analytics Essential Training
Geospatial data use cases
- [Instructor] Now that we both learned about the general process of location intelligence and the various types of geospatial data, it is time to combine them together and briefly overview several key example applications and use cases of geospatial analytics. First, urban planning and development, where a combination of demographics, transportation, and other sources of data can be used to design better, more efficient, and more livable cities. This can be topics from the accessibility of green infrastructure to better public transport coverage. Business analytics, for instance in retail, is also a great target for spatial analytics, as the business depends highly on the location of its physical units, from footfall to catchment area and product portfolio optimization. Natural resource management also benefits greatly from geospatial data. For instance, in water management precision agriculture, or monitoring deforestation and mining activities. Of course, monitoring can often be…
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