From the course: Geospatial Data Analytics Essential Training
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Geospatial data sources - Python Tutorial
From the course: Geospatial Data Analytics Essential Training
Geospatial data sources
- [Instructor] Now that we learned the basic concepts of location intelligence and how it relies on geospatial data, I will briefly overview the two major types of geospatial data from a technical perspective. Then I will overview the potential sources of geospatial data to provide you with a detailed guidance on where to find and how to recognize them. First, let's take a look at the two major technical categories of geospatial data you will most likely encounter. One of them, vector data is something you have seen already. That is points defined by a pair of coordinates, lines such as roads and streets and polygons and closing two dimensional areas like countries. The other major type of data is called raster data, which does not take the data as continuous values, such as vectors, but stores information in rasterized grid-like maps, such as the way an image is stored as a map of pixels. In vector data, points represent individual locations, lines describe features such as road…
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