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That's it for this module. In this module we first of all had a look at how you can store geospatial

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data. You store it next to your other data in your documents,

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the special thing about geospatial data is that you use the geo json format and there you need to follow that

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exact format of having a type with one of the supported types mongodb, well does support, you can

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find that in the official docs and the coordinates which are an array where the first element is the longitude

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and the second element is the latitude,

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this is how you store use geospatial data.

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Now you can also create geospatial indexes,

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some operations do require one,

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you store them by adding an index of type 2D sphere with create index

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and again as I mentioned, the near operation does require such an index, other operations like geoWithin

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don't,

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still it will probably speed up your queries.

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Speaking of queries, we saw three important operators, near, geoWithin and geoIntersects and these

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three get you very far because they allow you to find elements that are near you, restrict the radius,

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sort them by distance and also do other things like find out if something is in an area and so on.

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These geospatial queries also all work with geo json data,

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so really make sure you understand that format and you use that format for both the data you store and

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the data you then use in your queries.

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And that's it with the geospatial data,

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a very powerful feature of mongodb that makes working with locations and areas really simple.