This page has been translated automatically.
视频教程
界面
要领
高级
实用建议
UnigineEditor
界面概述
资产工作流程
设置和首选项
项目开发
调整节点参数
Setting Up Materials
Setting Up Properties
照明
Landscape Tool
Sandworm (Experimental)
使用编辑器工具执行特定任务
Extending Editor Functionality
嵌入式节点类型
Nodes
Objects
Effects
Decals
Light Sources
Geodetics
World Objects
Sound Objects
Pathfinding Objects
Players
编程
基本原理
搭建开发环境
Usage Examples
UnigineScript
C++
C#
UUSL (Unified UNIGINE Shader Language)
File Formats
Rebuilding the Engine Tools
GUI
双精度坐标
应用程序接口
Containers
Common Functionality
Controls-Related Classes
Engine-Related Classes
Filesystem Functionality
GUI-Related Classes
Math Functionality
Node-Related Classes
Objects-Related Classes
Networking Functionality
Pathfinding-Related Classes
Physics-Related Classes
Plugins-Related Classes
IG Plugin
CIGIConnector Plugin
Rendering-Related Classes
注意! 这个版本的文档是过时的,因为它描述了一个较老的SDK版本!请切换到最新SDK版本的文档。
注意! 这个版本的文档描述了一个不再受支持的旧SDK版本!请升级到最新的SDK版本。

Sandworm (Experimental)

The Sandworm tool is used to generate georeferenced landscape of any form using the provided data sources. This tool helps to quickly re-create portions of the real world by projecting them onto a flat Landscape Terrain Object. The maximum size of the landscape depends on the available memory and data density, but normally it's enough to create a landscape of a big city or a country.

Placing world objects to their real world positions (latitude, longitude, and altitude) can be done via GeodeticsPlugin.

Sandworm generates a landscape using height map (elevation) and albedo (imagery) data provided. You can use the following types of data sources:

  • Offline — locally stored tilesets: raster (elevation, imagery, and masks) and vector data sources from your local storage device
  • Online — Tile Map Services (TMS): you can connect to both, open services (such as OpenStreetMap or various state/municipal databases) or private tile servers created and supported by users on the basis of services similar to QGIS (currently supported data from online sources: imagery and elevation).

Geo-referenced imagery and elevation data are processed using the GDAL — Geospatial Data Abstraction Library. It supports various raster formats with different map projections for input data. It is also possible to combine different projection types and data sources to generate a landscape.

The following formats of the data sources are supported:

  • RGB and RGBA formats for albedo (imagery) data. Alpha-channel in the second case is used to mark no data areas.
  • R format for height maps (elevation sources).
  • R and RGBA formats for masks (landcover sources).

Bitness of the input formats can be 8, 16, or 32f.

GIS data sources can be used for generation of vegetation (raster data), buildings, landmarks, etc. (vector data):

  • On the basis of landcover data, which is used for masking, Sandworm places vegetation.
  • On the basis of vector data, procedural placement of other objects (buildings, landmarks, etc.) is done.

These data sources usually contain a lot of information that can be tagged and filtered using attribute filters.

Tags represent a color (color range) or an attribute value (range of values) and are used to filter the data necessary for generation of certain landcover areas or objects of the cultural layer (buildings). For each tag, you can specify a set of attribute filters to select certain data from the data source. You can specify as many filters as you need for each tag. The tags are used for objects placement on the landscape. For example, by using tags, you can:

  • Generate grass or trees for areas marked with certain colors of the landcover texture.
  • Generate buildings of a certain type only (e.g., apartments, garages, single- or multi-storey buildings, depending on the data stored in the vector data source).

Sandworm supports multiple data layers aligned by geo or raster coordinates: you can easily create high-resolution insets by adding a high-detailed landscape area over a low-detailed one. This can be useful for flight simulators, where high details are required only for areas around airports. The quality of generated landscape is determined by the density of the data sources used.

High-detailed inset over low-detailed area

See Also#

Last update: 2020-11-24
Build: ()