Horizon Mapper
    Demand · supply · access · explainability

    Site Selection Mapping

    Configure a country, business type and decision goal, then open Horizon Mapper's Opportunity Engine to screen candidate areas and inspect why they rank differently.

    Configure a market screenRead a score correctly
    • Country-scale setup
    • Commercial or service-gap goal
    • Component evidence
    horizonmapper.com — population layer · Portugal
    Horizon Mapper showing a three-dimensional population surface across Portugal
    One input, not the verdict

    Actual population layer view; site selection also requires supply, access and local validation.

    REAL APPPOPULATION LAYER
    Configure an opportunity screen

    Set up the live site-selection workspace

    Choose the market, business type and question. The map opens with the Opportunity Engine configured for review.

    Screening settings

    This prepares the analysis controls; it does not run or endorse a final location automatically.

    Separate the score into evidence

    Signals to inspect before a shortlist

    A composite ranking is a structured screen, not ground truth. The useful work is understanding which signals moved a candidate up or down and where the evidence is weak.

    Population demand

    Review gridded population context as one demand signal, with its source year and limitations visible.

    Nearby supply

    Use the selected POI concept to represent existing service or competitive presence where data is available.

    Access and reach

    Inspect the accessibility assumptions and geography that shape how candidate areas are compared.

    Confidence and guardrails

    Keep warnings, evidence coverage and component scores attached to the ranking instead of hiding them.

    From screen to decision

    Use the ranking to ask better questions

    1. Configure. Select the analysis geography, POI concept and goal that match the decision.
    2. Run and inspect. Review candidate ranks, components, warnings and data coverage inside the Opportunity Engine.
    3. Validate locally. Check parcels, costs, regulations, footfall and operational constraints outside the model before committing.
    Decision guardrails

    A shortlist is only as strong as its inputs

    POI completeness and taxonomy precision vary by place and category.

    Weights encode a decision preference; changing them can change the order.

    Commercial feasibility still requires local, legal and financial due diligence.

    Define the market area first

    Already have a candidate address?

    Build a travel-time catchment to examine reachable demand and supply around that specific origin before comparing it with alternatives.

    Analyze its catchment Measure a fixed radius