> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wherobots.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Site Selection

> How retailers, developers, and enterprises can use Wherobots to find optimal locations through large-scale spatial analysis.

Site selection decisions involve evaluating hundreds of spatial variables across thousands of candidate locations. Wherobots enables organizations to move beyond manual GIS workflows and run sophisticated, data-driven location analysis at the scale of entire countries or markets.

## How to use these solutions

Treat these notebooks as data engineering patterns as you evaluate Wherobots for your business or organization:

<CardGroup cols={2}>
  <Card title="Trade Area Analysis" icon="bullseye" iconType="solid" href="/tutorials/example-notebooks/isochrones">
    Generate isochrones and trade areas around candidate sites to understand drive-time catchments, population coverage, and competitive overlap using Spatial SQL.
  </Card>

  <Card title="Demographic & Market Scoring" icon="users" iconType="solid" href="/tutorials/example-notebooks/part-4-spatial-joins">
    Join candidate locations with census data, consumer spending indices, and foot traffic datasets to score sites by market potential.
  </Card>

  <Card title="Competitor Proximity & Saturation" icon="store" iconType="solid" href="/tutorials/example-notebooks/k-nearest-neighbor-join">
    Measure how saturated each candidate market is by finding the k nearest competing locations for every site in a single distributed join.
  </Card>

  <Card title="Accessibility & Infrastructure" icon="road" iconType="solid" href="/tutorials/example-notebooks/rasterflow-tile2net">
    Evaluate transit access, road connectivity, and walkability scores at each candidate location by analyzing road networks and urban infrastructure data.
  </Card>
</CardGroup>

## Key Capabilities

<AccordionGroup>
  <Accordion title="Isochrone generation at scale" icon="clock">
    Generate drive-time and walk-time isochrones for thousands of candidate locations in a single batch job. Understand exactly how far customers can travel to reach each site.

    <Card title="Making drive time isochrones" icon="clock" href="/tutorials/example-notebooks/isochrones" horizontal>
      Build travel-time polygons for thousands of locations at once.
    </Card>
  </Accordion>

  <Accordion title="Spatial clustering for site grouping" icon="circle-nodes">
    Use DBSCAN clustering to identify natural groupings of demand signals, competitor locations, or customer addresses to inform where gaps and opportunities exist.

    <Card title="DBSCAN clustering" icon="circle-nodes" href="/tutorials/example-notebooks/clustering-dbscan" horizontal>
      Find natural groupings in demand and competitor locations.
    </Card>
  </Accordion>

  <Accordion title="Hotspot detection" icon="fire">
    Apply Getis-Ord Gi\* statistics to identify statistically significant spatial concentrations of demand, revenue, or other performance metrics across geographies.

    <Card title="Hotspot detection" icon="fire" href="/tutorials/example-notebooks/getis-ord-gi*" horizontal>
      Separate real concentrations from noise with Getis-Ord Gi\*.
    </Card>
  </Accordion>

  <Accordion title="Nearest-neighbor proximity scoring" icon="arrows-to-dot">
    Find the *k* nearest competitors, transit stops, or distribution centers for every candidate site in one distributed join, and use the resulting distances as scoring inputs.

    <Card title="k-Nearest Neighbor joins" icon="magnifying-glass-location" href="/tutorials/example-notebooks/k-nearest-neighbor-join" horizontal>
      Score every candidate by distance to its nearest competitors.
    </Card>
  </Accordion>

  <Accordion title="Zonal statistics for area profiling" icon="chart-area">
    Calculate aggregate statistics within trade areas, zip codes, or custom polygons. Summarize population density, income levels, land cover mix, and more for each zone.

    <Card title="Zonal statistics" icon="chart-area" href="/tutorials/example-notebooks/zonal-stats-esaworldcover-texas" horizontal>
      Summarize raster values inside your own trade area boundaries.
    </Card>
  </Accordion>
</AccordionGroup>

## Wherobots Advantage

| Challenge                               | How Wherobots Helps                                                      |
| --------------------------------------- | ------------------------------------------------------------------------ |
| Evaluating thousands of candidate sites | Batch processing with serverless compute eliminates bottlenecks          |
| Integrating dozens of spatial datasets  | Spatial SQL joins across vector, raster, and tabular data in one query   |
| Reproducible scoring methodology        | Notebooks and SQL API enable version-controlled, auditable analyses      |
| Rapid iteration on scoring models       | Interactive notebooks let analysts adjust criteria and re-run in minutes |

<Card title="Get started with Wherobots" icon="rocket" href="/get-started/wherobots-cloud/start-notebook" cta="Run your first notebook">
  Try Wherobots with your own geospatial data in minutes.
</Card>