| GridDB: Open Source Time Series Database for…

 | GridDB: Open Source Time Series Database for…

GridDB Community Edition 4.1 and newer feature a Geometry data type that allows developers to combine both Time Series and Geospatial…

GridDB Community Edition 4.1 and newer feature a Geometry data type that allows developers to combine both Time Series and Geospatial analysis in their applications. We’ve covered GridDB’s Geometry features before in our posts on Using Geometry Values with GridDB and Geometry Data Applications. This blog post delves into practical use of the Geometry data type by looking at New York City’s historical crime complaint data. This data provides Latitude and Longitude of reported crimes so we will be using GridDB to see in what area a complaint occurred in. After demonstrating how to ingest the crime data from NYC Open Data, we’ll look at seeing how the amount of crime differs month to month in Central Park. We will also load external polygon data by seeing complaint counts in individual precincts. The primary purpose of use of GridDB’s Geometry data type with Geospatial data points is being able to search where points, polylines (paths), or polygons (areas) intersect. Points, polylines, and polygons are defined using Well-known-text (WKT) which is a markup language that defines vector geometry objects on a map.

new-york database data-science griddb

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