Comparing Locations
A single score answers “how risky is this location?” Comparison answers a harder question: “how risky is this location relative to somewhere I already understand?” The Teleport view places two locations side by side on the same axes so a score has context.
Where to find it
Once a location has a finished analysis, open it and switch to the Outlook tab. A Teleport card invites you to read your site against eight cities around the world. Click it (or the Teleport tab) to enter comparison mode at /location/teleport/<location-id>.
The card is only available after the risk pipeline completes for the home location; an incomplete or errored analysis hides the option.
The two sides: HERE and THERE
Every comparison has two slots:
- HERE: the location you opened (the home site).
- THERE: a target you pick from the side panel.
The panel offers two tabs:
| Tab | What’s in it |
|---|---|
| Your places | Other locations you have already analyzed in your workspace |
| Around the world | Eight predefined reference cities curated to span the major climate zones |
Pick anything from either tab and the page renders the comparison immediately. If the target has not been analyzed yet, the pipeline runs first (“Adding location” → “Computing risk profile”). This usually takes a minute or two.
What you see
The comparison view has two sections.
Overview
Headline numbers, side by side:
- Overall score (0-100) and the resulting letter rating (A++ to F) for both locations
- Severity mix: a small pie of how many risks fall into Critical / High / Medium / Low / Very Low on each side
The deltas are visible at a glance: if your site has six critical risks and the comparison city has none, that is the most important thing to know, and it sits at the top.
By dimension
Dimension-by-dimension breakdown for the two site-level dimensions (Climate, Nature). For each dimension:
- The dimension score on both sides
- Matched risks: risk types that share the same severity band on both locations (these are the “you are not alone” data points)
- Delta risks: risk types where the two locations differ, with the size of the gap surfaced as
Δ
A high Δ on a single risk often points at the geographic feature driving the difference, coastline, altitude, climate zone, or a specific water-stress signal.
The eight reference cities
The “Around the world” tab ships with cities chosen to span the climate spectrum so any home site has at least one meaningful counterpart:
| City | Climate zone (Köppen) | What it represents |
|---|---|---|
| Jakarta | Af | Tropical, low-elevation, flood-prone megacity |
| Phoenix | BWh | Hot desert, water stress, extreme heat |
| Reykjavik | ET adjacent | Polar / subarctic, very low chronic climate exposure |
| Singapore | Af | Tropical city-state, marine and humidity exposure |
| Dubai | BWh | Hot desert, coastal, sea-level rise |
| Lagos | Aw | Tropical savanna, coastal megacity, governance signal |
| Tokyo | Cfa | Temperate, seismic and storm exposure |
| Manaus | Af | Equatorial rainforest, riverine flood |
Each reference city goes through the same analysis pipeline as your sites, so the comparison is genuinely apples-to-apples, not a hand-tuned benchmark.
The reference cities are admin-managed. When the underlying data or methodology changes (a new SLR scenario, an SPI revision), the cities are re-scored so comparisons stay current.
Reading a comparison
Three workflows cover most use cases:
- Pre-acquisition diligence: compare a candidate site against a city you already operate in. Same risks, same axes: you can see whether the new location is materially more exposed than your reference footprint.
- Portfolio framing: open your own most-exposed site and pair it with each of the eight cities in turn. The result is a quick risk envelope: where in the global climate spectrum does your worst location actually sit?
- Stakeholder narrative: a side-by-side with a well-known city makes “high water stress” or “low climate exposure” concrete in a way a single score cannot.
Related
- Reading a Report: understand a single location before comparing it
- How Scoring Works: the numerical scale used on both sides
- Climate Context: why Köppen zones explain so many of the deltas