-**Purpose**: This module is designed to calculate and analyze various statistics related to shorelines and transects. It includes functions to compute distances, classify changes, and generate comprehensive statistical summaries.
#### Critical Functions
1.**`calculateDistances`**:
-**Role**: Calculates the distance of each shoreline to a point of interest on a transect.
1.**Distance Calculation**: `calculateDistances` computes distances from shorelines to transects.
2.**Classification**: `estevesLabelling` classifies the linear regression rate.
3.**Statistical Computation**: `calculateStatistics` computes various statistics for the transects.
4.**Property Appending**: `complementaryProperties` appends additional properties to transects.
5.**Transect Statistics Generation**: `generateTransectsStatistics` integrates all computations and classifications into transects.
6.**Shoreline Statistics Summary**: `summaryShorelineStatistics` summarizes the statistics for shorelines.
#### Performance Aspects
-**Performance Considerations**:
- Efficient use of Earth Engine's parallel processing capabilities.
- Iterative reduction operations for large datasets.
- Conditional checks to handle edge cases and empty collections.
#### Reusability
-**Adaptability for Reuse**:
- Functions are modular and can be reused in different contexts involving geospatial analysis.
- Parameterized functions allow for flexibility in input data.
- Utility functions like `combineReducers` and `serializeList` enhance reusability.
#### Usage
-**How It Is Used**:
- Integrated into a larger geospatial analysis system.
- Called by other modules or scripts to compute and append statistical data to geospatial features.
- Utilized in workflows involving shoreline and transect analysis.
#### Assumptions
-**Assumptions Made**:
- Input data (transects, shorelines, baseline) are correctly formatted and valid.
- Earth Engine services are available and functioning.
- Metadata constants (`TIME_START`, `INTERNALS`, `ESTEVES_LABELS`) are correctly defined.
- Utility functions (`combineReducers`, `serializeList`) are available and correctly implemented.
This comprehensive analysis provides a detailed understanding of the `statistics.js` module, its functions, and its role within a larger geospatial analysis system.
## Flow Diagram [via mermaid]
```mermaid
graph TD
A[calculateDistances] --> B[calculateStatistics]
B --> C[estevesLabelling]
B --> D[complementaryProperties]
D --> E[generateTransectsStatistics]
E --> F[summaryShorelineStatistics]
```
## Module: statistics.js
### Comprehensive Analysis of `statistics.js`
#### Module Name
-**Module Name**: `statistics.js`
#### Primary Objectives
-**Purpose**: This module is designed to calculate and analyze various statistics related to shorelines and transects. It includes functions to compute distances, classify changes, and generate comprehensive statistical summaries.
#### Critical Functions
1.**calculateDistances**:
-**Role**: Computes the distance of each shoreline to a point of interest on a transect.
-**Scalability**: Designed to handle large datasets typical in geospatial analysis.
-**Optimization**: Utilizes reducers and efficient data structures to minimize computation time.
#### Reusability
-**Adaptability**:
- Functions are modular and can be reused in different contexts involving geospatial analysis.
- Utility functions like `combineReducers` and `serializeList` enhance reusability.
#### Usage
-**How It Is Used**:
- Integrated into larger geospatial analysis workflows.
- Called by other modules or scripts to compute and analyze shoreline and transect statistics.
- Utilized in environmental monitoring, coastal management, and research projects.
#### Assumptions
-**Assumptions Made**:
- Input data (transects, shorelines, baseline) are correctly formatted and valid.
- Earth Engine environment is properly set up and accessible.
- Constants and utility functions are correctly imported and available.
- Dates and distances are meaningful and within expected ranges for the analysis.
This comprehensive analysis provides a detailed understanding of the `statistics.js` module, its functions, and its role within a larger geospatial analysis system.