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Showing posts from February, 2025

Vector Tiles in Oracle Spatial 23

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Vector tiles are an efficient way to deliver and render map data in web applications. Unlike raster tiles, which are pre-rendered images, vector tiles contain raw geometries and attributes, allowing for dynamic styling and interaction on the client side. 🕮  What Are Vector Tiles? Imagine a large map divided into small, manageable square sections called "tiles."  There are two primary types of tiles: Raster Tiles : Static images representing the map. Zooming in can cause pixelation, and any style changes require generating new images. Vector Tiles : Contain raw geometric data and attributes. They allow for smooth scaling without loss of quality and enable dynamic styling, such as changing colors or labels, directly in the browser. Oracle Spatial 23c introduces support for generating and serving vector tiles directly from spatial data stored in the database. Step 1: Prepare Your Spatial Data Ensure your spatial data is stored in a table with an SDO_GEOMETRY column. CREATE T...

H3 Index for Spatial Data in Oracle Database 23

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With the release of Oracle Database 23c, H3 is now natively supported, enabling developers and analysts to perform advanced spatial data indexing and aggregation more efficiently.👌 H3 provides a hierarchical hexagonal grid system that enables flexible spatial data representation. H3 indexes locations using hexagonal cells at different resolution levels from large hexagons at low resolutions to finer granularity at higher resolutions. This hierarchical structure enables flexible spatial analysis, where data can be aggregated or zoomed in based on different levels of granularity. Unlike traditional rectangular grids, hexagons offer more uniform adjacency relationships, making them ideal for spatial aggregation, clustering, and heatmaps.   📌 Why H3 indexing in Oracle Database 23 is an important feature? •  Suitable for handling large geospatial datasets efficiently.now oracle by this new feature allows for efficient querying of large datasets, improving spatial analytics and vi...