### Mass Visualization Components and Processors

Source: https://github.com/ji-rath/massaiexample/blob/main/README.md

Overview of components used for visualizing Mass entities, including traits, fragments, and processors, noting a common issue with LODCollectorProcessor.

```APIDOC
Mass Visualization:
  - Visualization Trait
  - Mass Viewer Info Fragment
  - Mass Actor Fragment (For actor visualization)
  - Mass Visualization LOD Processor (Index 41)
  - LODCollectorProcessor: Disabled by default, needed for high entity counts.
```

--------------------------------

### Mass Level of Detail (LOD) Components

Source: https://github.com/ji-rath/massaiexample/blob/main/README.md

Details the core components for managing Level of Detail (LOD) for Mass entities.

```APIDOC
Mass LOD:
  - Mass LOD Collector Trait
  - Mass LOD Collector Processor (Index 17)
```

--------------------------------

### Overriding Mass Agent Radius

Source: https://github.com/ji-rath/massaiexample/blob/main/README.md

Explains how to modify the default radius of Mass agents using specific fragments.

```APIDOC
Agent Radius:
  - Usage: Assorted Fragments and Agent Radius Fragment
  - Purpose: Override default agent radius for entities.
```

--------------------------------

### Core Mass ECS Concepts and Component Types

Source: https://github.com/ji-rath/massaiexample/blob/main/README.md

Provides a general overview of fundamental Mass ECS concepts, including data storage (Fragments), entity filtering (Tags), component grouping (Traits), task execution (Processors), and the relationship with StateTree.

```APIDOC
General Mass Information:
  - Fragments: Hold data (FMassFragment)
  - Tags: Filter entities (FMassTag)
  - Traits: Contain fragments/tags (UMassEntityTraitBase)
  - Processors: Use fragment data to perform tasks on entities (UMassProcessor)
  - StateTree: Similar to BehaviorTree and Blackboard in concept with Fragments.
  - ObserverProcessors: Can observe multiple fragments/tags by overriding Register() function.
```

--------------------------------

### Mass Movement Trait Height Interpolation

Source: https://github.com/ji-rath/massaiexample/blob/main/README.md

Describes the behavior of height interpolation within the Mass Movement Trait and suggests a potential solution for accuracy over long distances.

```APIDOC
Movement Trait:
  - Height Interpolation: Based on target and current height.
  - Accuracy: Not reliable for far distances.
  - Potential Solution: Update target location Z during movement.
```

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