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Notes on data, maps and the parts that go wrong

Working notes rather than marketing. Each article covers a decision we make regularly and explains why it matters, with the trade-offs stated plainly.

CategoriesBusinessFundamentalsHow-to
How-to9 min read

How to Build a Geospatial Data Pipeline

Most spatial pipelines work perfectly once. The design decisions that matter are the ones that keep them working on run twenty.

Business8 min read

Competitor Location Analysis

A map of competitors is a starting point. Overlap, saturation and rate of change are what make it a decision tool.

Business9 min read

Restaurant Location Analysis

Busy does not mean available. The areas that feel best on a Saturday visit are often the ones with the least room for another venue.

Fundamentals7 min read

CSV vs GeoJSON vs Shapefile

Four formats, four sets of limitations. Choosing the wrong one loses data silently, which is the worst way to lose it.

Business8 min read

How Businesses Use Location Data

Not dashboards. Seven specific decisions where location data changes the answer, and what it costs to get there.

How-to7 min read

Web Scraping vs APIs

APIs are stable and constrained. Scraping is flexible and fragile. The right choice depends on the constraint you can least afford.

Fundamentals7 min read

What Is Location Intelligence?

Mapping shows you where things are. Location intelligence tells you which option is stronger, by how much, and for what reason.

How-to9 min read

How to Collect Google Maps Data

The hard part is not getting listings. It is getting all of them, once each, with categories that mean the same thing everywhere.

Fundamentals8 min read

What Is POI Data?

A POI record is a name, a category and a coordinate. Everything that makes POI data hard lives in those three fields.

Fundamentals9 min read

What Is Geospatial Data?

Geospatial data is any data with a location attached. What makes it different is that distance, containment and adjacency between records carry meaning.

Editorial policy

Why there are only a dozen articles here

We publish when we have something specific to say about work we actually do. Every article is written by the team that builds these datasets, and we would rather have twelve useful pieces than two hundred generated ones.

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