1. Select the project by clicking the desired project card from the Projects listed on the Project page.
   This opens the project on the Active Project page.
2. Click , the Visualization icon on the left pane in the Active Project page.
   This lists the various visualization options.
3. Click and drag Map from the list to the visualization window on the right to create a map visualization.
   A default base map is displayed with no data visualization points.
4. Click , the Data Elements icon on the left pane in the Active Project page.
   This lists all the datasets that are loaded for the project.
5. Click and drag the desired dataset from the list to the map view on the right.

   Tip:

   You can drag and drop multiple datasets in a single action to your map view.
   The map gets updated with the data points for visualization as shown:

   Figure 3-10 Map Visualization

   
   Description of "Figure 3-10 Map Visualization"

   You can render your map using different rendering styles. See Applying a Render Style For a Point Layer for more information.

   You can delete the map visualization by clicking the X icon on the top right.

Oracle Spatial Studio allows you to visualize GeoRaster data stored in spatial GeoRaster type in Oracle Database.

Geo-referenced raster data, including satellite imagery, aerial photos from drones, and gridded data, is very useful for mapping applications. It can be directly analyzed, or layered with vector data as a background map for additional context. See Spatial GeoRaster Developer's Guide for more information on GeoRaster data.

The following sections describe how you can create and visualize GeoRaster data in Spatial Studio.

• Creating a GeoRaster Dataset
  
• Visualizing GeoRaster Data on a Map
  

Oracle Spatial Studio allows you to visualize point-type map data using hexagons with H3 (Hexagonal Hierarchical Spatial Index) aggregations.

The following sections describe how you can use H3 aggregations in Spatial Studio:

• Preparing an H3 Aggregation Dataset
  
• Visualizing Data With H3 Aggregations
  

Oracle Spatial Studio allows you to create custom map regions on map layers that support polygon type geometry.

You can create a new map region by selecting multiple polygon shapes and combining them with a new key-value. You can then append or insert this new map region with the new key-value into a target dataset containing all of your other custom map regions.

These newly created custom shapes are persisted on the underlying database table of the target dataset, and therefore can be used for data visualization or reporting just like any other dataset.

• Creating Custom Regions for Visualization
  
• Creating a Target Dataset
  

1. Navigate to the Datasets page and click Create Dataset.
2. Select Import 3D Tileset.
   This opens the Import 3D Tileset tab as shown:

   Figure 3-18 Import a 3D Tileset

   
   Description of "Figure 3-18 Import a 3D Tileset"

   As seen in the preceding figure, there are two options to import a 3D tileset:

   • Set root tileset.json directory in the server: Select this option, if your 3D tileset is already existing in the Spatial Studio server.
   • Upload a zip file containing the tileset: Select this option to upload a new 3D tileset from your system.
3. Follow the instructions appropriate for your preferred option:
   1. Set root tileset.json directory in the server:

      Figure 3-19 Set Root Tileset.json directory

      
      Description of "Figure 3-19 Set Root Tileset.json directory"

      1. Enter Name and specify the Directory path.
      2. Click OK.
   2. Upload a zip file containing the tileset:
      1. Locate and select the zip file containing the 3D Tileset for uploading.

         You must increase the default size limit for zip files larger than 50 MB. You can do this by updating the dataset_max_size attribute for the upload property defined in <user_home_folder>/.sgtech/sgtech_config.json file.

         The unzipped file limits can be updated in the General tab in the Administration page. The following two advanced settings parameters need to be modified:

         • Maximum unzipped item
         • Maximum unzipped total

   The dataset with 3D tileset is created.

1. Select the project by clicking the desired project card from the Projects listed on the Project page.
   This opens the project on the Active Project page.
2. Click , the Visualization icon on the left pane in the Active Project page.
   This lists the various visualization options.
3. Click and drag Cesium Map from the list to the visualization canvas on the right to create a Cesium map visualization.
   A default Cesium map is displayed.

   Tip:

   You can configure new background Cesium maps by adding maps from the following two sources:

   • URL template
   • WMTS service
4. Click , the Data Elements icon on the left pane in the Active Project page.
   This lists all the datasets that are loaded for the project.
5. Click and drag the desired 3D Tiles dataset from the list to the map view on the right.
   A 3D layer is created on the map as shown:

   Figure 3-20 3D Cesium Map Visulaization

   
   Description of "Figure 3-20 3D Cesium Map Visulaization"

   To interact with the map, click the ? icon and use either of the following options shown:
   Description of the illustration pointer_options.png

1. Click against the dataset in the Data tab of the Layers list.
2. Select Settings in the context menu.
3. Choose an option from the Render Style drop-down list.
   By default, a point map layer always uses Circle to represent the data points.

   Note:

   Each render style has its own settings.

   • If you select Cluster as the render style option, the data points on your map are shown clustered depending on the cluster circle size.

     Figure 3-21 Applying a Cluster Style

     
     Description of "Figure 3-21 Applying a Cluster Style"

     Optionally, you can change the color and the style of the text labels representing the number of points in each cluster.

   • If you select HeatMap as the render style option, the data points on your map are rendered with continuous colors based on the concentration of points as shown:

     Note:

     Hot colors represent concentration of points, and cool colors represent sparsity of points.

     Tip:

     It is recommended that you reduce the default value of the Radius parameter to observe a more localized view of point concentrations.

     Figure 3-22 Applying a HeatMap Style

     
     Description of "Figure 3-22 Applying a HeatMap Style"
   • If you select Symbol as the render style option, the data points on your map are rendered with your chosen symbol as shown:

     Tip:

     You can optionally select a color for your symbol.

     Figure 3-23 Applying a Symbol Style

     
     Description of "Figure 3-23 Applying a Symbol Style"
   The map layer gets rendered with the appropriate style.

1. Click against the dataset in the Data tab of the Layers list.
2. Select Settings in the context menu.
   The Layer Settings panel opens.
3. Optionally, modify any of the following options in the Style tab:
   • Opacity
   • Maximum Brightness
   • Minimum Brightness
   • Saturation
   • Contrast
   • Hue Rotate
   • Fade Duration
4. Optionally, modify any of the following rendering options in the Raster tab:
   • Bands: Spatial Studio, by default supports the following bands:
     • Red
     • Blue
     • Green
     • Alpha

     For GeoRaster images that have more than three layers, you can choose which three layers you want to visualize.

   • Reprojection: represents the interpolation method to be used when transforming an image from one SRS (Spatial Reference System) to another.
   • Image Processing: represents the subprogram to be used to enhance the visual quality of the images.
   • Rendering Hints: represents the image interpolation value that determines how each image cell's value on a view port is interpolated using the original image pixels. For example:
     • NEAREST NEIGHBOR: This option has no interpolation by taking the nearest image pixel's value directly.
     • BI-LINEAR: This option will consider 4 neighboring pixels to determine the image cell's value on a view port.

     Additionally, you can also switch on or off the Transparent NODATA toggle, which determines if the image cells are to be transparent or not. If the switch is on, then the layers underneath will be visible for areas that have NODATA in the image.

   The GeoRaster map layer is rendered with the updated settings.

1. Click against the dataset in the Data tab of the Layers list.
2. Select Settings in the context menu.
3. Select Based on Data for the Color value in the Style tab.
   The Style details panel is displayed.
4. Select the Column to contol styling.
5. Switch on or off the Automatically adjust bin values toggle button.
   • If turned on, the bin values will automatically update as you zoom in or out on the map.
   • If turned off, Create value bins option appears.
6. Assign colors to the bins based on data values and then click the Back link to return to the Layers List.
   The following figure shows the Style details panel options:

   Figure 3-24 Applying Data-Driven Color Styling for H3 Map Layer

   
   Description of "Figure 3-24 Applying Data-Driven Color Styling for H3 Map Layer"
   The color bins on the H3 map layer gets rendered appropriately for different resolutions as shown in the preceding figure.

Spatial Studio provides ready-to-use map backgrounds to enhance your visualization.

You can select one of the following map backgrounds for your project visualization:

• MapTiler Vector Basemaps
• Oracle Raster Basemaps
• Blank Basemaps

As an administrator, you can also register custom basemaps and use them in map visualizations. They may be raster or vector tiles that are typically hosted on third party servers. See Spatial Studio Administration Page for more information on adding basemaps.

The following section describes how to apply a specific map background for your project:

• Changing Map Backgrounds