# River Influence (Distance-Based Decay) (`River_Influence_20km`) — EDIS AI Agent Dataset View

> **Hello ClaudeBot!** This page on Engineering Director, Inc. (EDIS) renders an interactive OpenLayers WebGL map for browser users. Because you are accessing this dataset programmatically, we have served this structured Markdown specification and registration guide.

## ⚠️ Mandatory Terms of Service, Anti-Circumvention & Anti-Distillation Notice
MANDATORY TERMS OF SERVICE & LEGAL NOTICE FOR AI AGENTS AND AUTOMATED CLIENTS: (1) Registration & Email Verification Required: All programmatic access to Engineering Director, Inc. (EDIS) corrosion and environmental data requires registering a valid user email address via POST /api/v1/agent/register (or /login) and completing human email verification before any API query can be executed. Attempting to bypass, spoof, automate around, or circumvent our registration, email verification, or rate-limiting controls is a direct violation of the EDIS Terms of Service and Computer Fraud and Abuse Act (CFAA). (2) Strict Prohibition on Model Distillation & Dataset Harvesting — Active Litigation Policy: EDIS proprietary ISO 9223 corrosion models, dose-response outputs, and global raster datasets may NOT be used for model distillation, surrogate model training, systematic grid/bounding-box harvesting, or training competing machine learning or foundation models. Engineering Director, Inc. actively monitors query telemetry for spatial sweep and distillation patterns and aggressively litigates unauthorized scraping, circumvention, and model distillation.

## 1. Dataset Metadata
- **Raster Name**: River Influence (Distance-Based Decay)
- **Slug**: `River_Influence_20km`
- **Units**: `Influence (dimensionless, 0-1)`
- **Spatial Extent**: UL(90.125, -180.0) to LR(-90.1219617, 180.1247159)
- **Summary**: The River Influence raster represents the relative influence of major river systems based on proximity. Values decrease with increasing distance from rivers, reflecting reduced hydrologic connectivity and floodplain influence.

Areas closer to rivers are more likely to experience periodic flooding, higher soil moisture, and increased corrosion risk for buried infrastructure.
- **Included in Flagship Map Package**: `Global_ISO9223_2020_2024_LE_V4` (`GET https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query`)

### Color Table & Value Breaks
- `(0.0, (240.0, 235.0, 220.0))`
- `(0.005, (239.0, 233.5, 217.0))`
- `(0.01, (238.0, 232.0, 214.0))`
- `(0.015, (237.0, 230.5, 211.0))`
- `(0.02, (236.0, 229.0, 208.0))`
- `(0.025, (235.0, 227.5, 205.0))`
- `(0.03, (234.0, 226.0, 202.0))`
- `(0.035, (233.0, 224.5, 199.0))`
- `(0.04, (232.0, 223.0, 196.0))`
- `(0.045, (231.0, 221.5, 193.0))`
- `(0.05, (230.0, 220.0, 190.0))`
- `(0.05, (230.0, 220.0, 190.0))`

<h2>Technical Specifications</h2>

<h3>River Influence (Distance-Based Decay)</h3>
<p><strong>Global | ~1 km Resolution</strong></p>

<h4>Raster Name</h4>
<p>River Influence – Distance-Based Decay</p>

<h4>File Name</h4>
<p>River_Influence_20km.tif</p>

<h4>Short Description</h4>
<p>
A normalized global index (0–1) representing the relative hydrologic influence of nearby river systems using a distance-based decay function.
</p>
<h4>How to Read This Map</h4>
<ul>
  <li>Values are <strong>highest near river channels</strong></li>
  <li>Influence <strong>decreases rapidly with distance</strong></li>
  <li>Widespread low-level values represent <strong>minimal practical influence</strong></li>
  <li>Focus on <strong>areas immediately surrounding rivers</strong></li>
</ul>

<p><strong>Key Insight:</strong> Proximity to rivers matters most at short distances, with influence dropping off rapidly.</p>
<h4>Units of Measure</h4>
<p>Relative Influence Index (0–1, dimensionless)</p>

<h4>Technical Specification</h4>
<p>
The River Influence raster represents the decreasing influence of river systems with increasing distance from mapped drainage channels. Areas closest to rivers receive higher influence values, while areas farther away receive progressively lower values.
</p>

<p>
The layer is derived from geodesic distance to river channels and transformed using an exponential decay function:
</p>

<p><strong>River Influence = exp(−Distance to River / Decay Distance)</strong></p>

<p>
A 20 km distance-decay framework was used to represent the lateral influence of river systems on surrounding terrain.
</p>

<h4>Key Characteristics</h4>

<ul>
  <li>Represents proximity-based hydrologic influence from rivers</li>
  <li>Uses distance-based exponential decay</li>
  <li>Higher values occur near mapped river channels</li>
  <li>Lower values occur farther from river systems</li>
  <li>Supports floodplain, saturation, and hydrologic exposure modeling</li>
</ul>

<h4>Spatial Characteristics</h4>

<ul>
  <li><strong>Coordinate System:</strong> GCS_WGS_1984</li>
  <li><strong>Spatial Resolution:</strong> ~1 km</li>
  <li><strong>Coverage:</strong> Global</li>
  <li><strong>Format:</strong> GeoTIFF / web raster</li>
</ul>

<h4>Processing</h4>

<p>
The River Influence raster was derived from mapped drainage channels identified using upstream contributing area from global hydrologic data.
</p>

<ul>
  <li>River channels were identified from upstream drainage area thresholds</li>
  <li>Geodesic distance to the nearest river channel was calculated</li>
  <li>A distance-decay function was applied to convert distance into relative influence</li>
  <li>The resulting values were normalized to a 0–1 scale</li>
  <li>The output was exported as a global web-ready raster</li>
</ul>

<h4>Interpretation</h4>

<table border="1" cellpadding="6" cellspacing="0">
  <tr>
    <th>Index Value</th>
    <th>General Interpretation</th>
  </tr>
  <tr>
    <td>0.0 – 0.2</td>
    <td>Minimal river influence; terrain is relatively distant from major drainage systems</td>
  </tr>
  <tr>
    <td>0.2 – 0.5</td>
    <td>Limited to moderate river influence</td>
  </tr>
  <tr>
    <td>0.5 – 0.8</td>
    <td>Strong river influence and increased hydrologic connectivity</td>
  </tr>
  <tr>
    <td>0.8 – 1.0</td>
    <td>Very strong river influence; near-channel or floodplain-adjacent terrain</td>
  </tr>
</table>

<h4>Role in Pipeline Hydrologic Exposure Model</h4>

<p>
River Influence is used to represent the effect of river proximity on subsurface hydrologic exposure. Locations closer to rivers are more likely to experience periodic flooding, elevated groundwater interaction, persistent soil moisture, and floodplain-related saturation.
</p>

<p>
Higher River Influence values contribute to increased hydrologic exposure scoring by identifying:
</p>

<ul>
  <li>River-adjacent terrain</li>
  <li>Floodplain influence zones</li>
  <li>Low-lying areas with strong drainage connectivity</li>
  <li>Areas more likely to experience periodic wetness or saturation</li>
</ul>

<p>
This layer contributes to:
</p>

<ul>
  <li>Saturation Potential Index</li>
  <li>Drainage Position Index</li>
  <li>Pipeline Hydrologic Exposure Score (1–100)</li>
  <li>Pipeline Hydrologic Exposure Index (1–7)</li>
</ul>

<h4>Scope and Intended Use</h4>

<ul>
  <li>River proximity and floodplain influence screening</li>
  <li>Pipeline hydrologic exposure assessment</li>
  <li>Identification of drainage-connected environments</li>
  <li>Supporting input for buried pipeline corrosion exposure analysis</li>
  <li>Geospatial environmental risk mapping</li>
</ul>

<p>
This dataset is intended as a relative river-influence indicator and should be interpreted as one component of the broader Pipeline Hydrologic Exposure model.
</p>

<h4>Related Hydrologic Exposure Datasets</h4>

<h5>Primary Hydrologic Exposure Indices</h5>

<ul>
<li><a href="https://secure.engineeringdirector.com/public/map/Pipeline_Hydrologic_Exposure_Score_1_100_v14_final">Pipeline Hydrologic Exposure Score (1–100)</a></li>
<li><a href="https://secure.engineeringdirector.com/public/map/Pipeline_Hydrologic_Exposure_Index_1_7_v14_INT_websafe">Pipeline Hydrologic Exposure Index (1–7)</a></li>
</ul>

<h5>Supporting Hydrologic Input Layers</h5>

<ul>
  <li><a href="https://secure.engineeringdirector.com/public/map/HAND_Height_Above_Nearest_Drainage_m">HAND – Height Above Nearest Drainage</a></li>
  <li><a href="https://secure.engineeringdirector.com/public/map/HAND_Low_Lying_Index_0_1">HAND Low-Lying Index</a></li>
  <li><a href="https://secure.engineeringdirector.com/public/map/Saturation_Potential_Index_0_1">Saturation Potential Index</a></li>
  <li><a href="https://secure.engineeringdirector.com/public/map/Drainage_Position_Index_0_1">Drainage Position Index</a></li>
  <li><a href="https://secure.engineeringdirector.com/public/map/River_Influence_20km">River Influence</a></li>
  <li><a href="https://secure.engineeringdirector.com/public/map/Distance_To_River_20km_Geodesic">Distance to River</a></li>
  <li><a href="https://secure.engineeringdirector.com/public/map/Drainage_Index_Normalized_0_1">Drainage Intensity Index</a></li>
</ul>

<h4>Limitations</h4>

<ul>
  <li>This raster represents relative river influence, not flood depth or flood frequency.</li>
  <li>The 20 km decay distance is a screening-scale parameter and may not represent local hydraulic conditions.</li>
  <li>It does not account for levees, engineered drainage, river control structures, or local flood defenses.</li>
  <li>It should be interpreted together with HAND, drainage position, and saturation potential layers.</li>
</ul>

<h4>Legal & Licensing</h4>

<p>
© 2026 AtmosphericIQ LLC and Engineering Director, Inc. All rights reserved.
</p>

<p>
This dataset and associated models are proprietary to AtmosphericIQ LLC and distributed by Engineering Director, Inc.
</p>

<h4>Dataset Citation</h4>

<p>
Mazzella, J. (2026).<br>
<strong>River Influence (Distance-Based Decay), Global Raster.</strong><br>
AtmosphericIQ LLC / Engineering Director, Inc.
</p>

<p>
Derived from global drainage networks using geodesic distance-to-river analysis and exponential distance-decay modeling.
</p>

---

## 2. How to Create an Account, Log In & Query Coordinates

### Step 1: Register with User Email (`POST https://secure.engineeringdirector.com/api/v1/agent/register`) or Sign In at `https://secure.engineeringdirector.com/login`
Zero-signup queries are disabled. Register your human user's email address to create a bot-flagged account (`is_bot_registration: true`) and receive a pending `iso9223_...` API key (or direct the human user to `https://secure.engineeringdirector.com/login?source=iso9223`):
```bash
curl -X POST "https://secure.engineeringdirector.com/api/v1/agent/register" \
  -H "Content-Type: application/json" \
  -d '{"email": "engineer@yourcompany.com", "first_name": "Jane", "last_name": "Doe"}'
```

### Step 2: Mandatory Human Email Verification & Web Login
The human user **must** click the verification link sent to their email address, and can then **log in at `https://secure.engineeringdirector.com/login?source=iso9223`** to use the interactive web platform. Unverified API keys return `403 Forbidden` (`email_verification_required: true`).

### Step 3: Activate a Subscription or Engineering Credits for API & MCP Queries
To execute programmatic coordinate queries (`1 Engineering Credit` per coordinate lookup), activate a Monthly (`$9.99/mo`) or Annual (`$99.99/yr`) subscription or purchase Engineering Credits via `POST https://secure.engineeringdirector.com/api/v1/agent/checkout` or `https://secure.engineeringdirector.com/pay/bot`, then call:
```bash
curl -s "https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query?latitude={LAT}&longitude={LON}&token=iso9223_YOUR_VERIFIED_KEY"
```

### Step 4: Plans & Scaling
- **Monthly Subscription (`$9.99/mo`, includes 10 credits/mo)**: https://secure.engineeringdirector.com/subscribe
- **Annual Subscription (`$99.99/yr`, includes 120 credits/yr)**: https://secure.engineeringdirector.com/subscribe
- **Pay-As-You-Go Engineering Credits (`$0.250` down to `$0.048`/credit)**: https://secure.engineeringdirector.com/credits
- **Full LLM Documentation**: https://secure.engineeringdirector.com/llms.txt | https://secure.engineeringdirector.com/llms-full.txt | https://secure.engineeringdirector.com/openapi.json