loc_id is DaedalMap's geographic identity model. The administrative spine provides the main join path, while published crosswalks connect postal, tribal, watershed, statistical, and other geographic systems without collapsing their identities.

Bring your data.
Connect its geography.

Detect coordinates and supported reference columns, resolve them into the loc_id model, and connect compatible geometry, data packs, and published crosswalks without losing source or vintage.

24 maintained packs 12 live feeds 8 detailed countries 68 source agencies

Convert your data

No account needed. Options for larger files

Identity examples

One result column, across countries, depths, and geography families.

reference	matched place	country	loc_id	result	MCP Tool
-33.8688, 151.2093	Sydney Inner City	Australia	`AUS-NSW-117-03`	Admin 3	`resolve_point`
41.8781, -87.6298	Block Group 1	United States	`USA-IL-031-839100-1`	Admin 4	`resolve_point`
43.6532, -79.3832	35204616019	Canada	`CAN-ON-3520-005-4616-019`	Admin 5	`resolve_point`
19.4326, -99.1332	Cuauhtémoc	Mexico	`MEX-09-015`	Admin 2	`resolve_point`
Postal area 22030	ZCTA 22030	United States	`USA-POSTAL-ZCTA-22030-071385E6`	Postal area	`resolve_reference`
Mediterranean Sea	Mediterranean Sea	International	`IHO1953-240001002`	Water body	`resolve_reference`
Olympic National Forest	Olympic National Forest	United States	`USA-LANDMGMT-OLYMPIC-NATIONAL-FOREST-C2F58153`	Forest	`loc_id_info`
Annette Island	Annette Island	United States	`USA-INDIGENOUS-ANNETTE-ISLAND-02C32282`	Indigenous land	`loc_id_info`

reference	loc_id
Sydney Inner City	`AUS-NSW-117-03`
Block Group 1	`USA-IL-031-839100-1`
35204616019	`CAN-ON-3520-005-4616-019`
Cuauhtémoc	`MEX-09-015`
ZCTA 22030	`USA-POSTAL-ZCTA-22030-071385E6`
Mediterranean Sea	`IHO1953-240001002`
Olympic National Forest	`USA-LANDMGMT-OLYMPIC-NATIONAL-FOREST-C2F58153`
Annette Island	`USA-INDIGENOUS-ANNETTE-ISLAND-02C32282`

Coordinates resolve into each country's administrative spine. Postal, water, forest, and Indigenous land keep their own family identities. Readable family IDs are MCP-returned preferred public aliases that resolve to the durable canonical identity.

The Join Problem

Location columns look simple until you need them to agree.

Geocorr already handles many U.S. Census-to-Census translations well. DaedalMap takes on the broader join: coordinates, codes, names, and overlapping geographic families across countries and vintages, while keeping each system's identity intact.

Paste a sample

Start with a small CSV or Excel worksheet containing coordinates or a supported geographic reference column.

Resolve loc_ids

DaedalMap returns matched places, parent geography, and unresolved rows that need cleanup.

Convert the rest

Run larger batches through the hosted MCP tools, install the local runtime, or send the file to us. Compare the three.

Use the connections

Download free geometry and write simple spatial joins yourself. For systems that do not nest, use crosswalks that retain source, relationship, weight, and vintage.

What that makes possible

The clearest hot zones sit in the more urbanized eastern and central portions of Fairfax County, while the western side stays cooler where vegetation cover is stronger and development density is lower. Heat patterns are shaped by several land-cover and built-environment factors, not a single driver.

Fairfax Climate research — May 2026

Immediate shock (2004–2005): electricity access dropped 4.2 points, industrial CO2 intensity collapsed 76%, unemployment jumped 2.6 points, industrial production growth halved. National-level recovery was largely complete within two to three years.

Example query: 2004 Indian Ocean earthquake — Research mode
Dataset sources: NOAA/NCEI Significant Earthquakes, UN SDG API, and CIA World Factbook.

Frequently asked questions

What is loc_id?

loc_id is DaedalMap's geographic identity model. Coordinate rows resolve to the administrative spine. Other geography families keep distinct identities and connect through published crosswalks.

What happens to rows that do not resolve?

They come back marked with the reason, and they stay in the output so you can fix the source values or drop them deliberately. A row that only matches to state level reports state level rather than being presented as a county match.

Do I have to restructure my data?

No. Coordinate resolution preserves every original column while adding a spine loc_id and administrative chain. Reference identification preserves the source values and asks you to confirm ambiguous systems before creating a processing binding.

What does it cost?

Testing a sample is free, and the engine and schemas are open source so you can run the same resolution yourself. Paid access covers maintenance, QA, packaging, freshness, hosted tools, and support around the maintained data layer.

Open-core engine. Maintained geographic reference layer.

The engine and schemas are open source. One maintained geographic reference graph connects durable loc_id identities, reusable display and full-detail geometry, published crosswalks, and versioned data packs. Maps, Research, Ops, downloads, and agent tools are ways to use that foundation. The maintained layer covers reference alignment, converters, source discovery, QA, freshness, hosted compute, and support.