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EXP_13 / Data & place

Berlin Winery Analysis

A city, viewed through its wine spots.

Maps and neighbourhood comparisons exploring the distribution of Berlin’s wine establishments.

A published map from the repository showing the spatial distribution of wine establishments. Click to enlarge.Image source ↗ (opens in a new tab)
Research figure
Berlin wine establishment heatmap generated by the project

A published map from the repository showing the spatial distribution of wine establishments.

The question

What can a very specific kind of place reveal about a city?

Start with a place on the map

Berlin Winery Analysis collects and processes location data, then turns it into interactive maps and static figures. Wine establishments offer a specific lens on the city: where they cluster, how districts differ, and what changes when geography is taken into account.

The project includes marker maps, heatmaps and district comparisons. Each view answers a slightly different question, from finding individual locations to seeing broader concentrations.

Counts are only the beginning

A large district can contain more venues simply because it covers more ground. Density views introduce area into the comparison, making the choice of denominator visible.

Other scripts explore growth and relationships with real-estate patterns. Some recent-opening and historical analyses use heuristics or modelling, so those outputs need to be read with their generation method in mind rather than as a verified historical census.

Follow the curiosity, inspect the data

The useful result is an inspectable workflow from collected locations to visual questions. Source coverage, venue definitions and modelling assumptions affect what a map can say. Apparent neighbourhood relationships invite further investigation; they do not establish that wine establishments cause property prices to change.

Based on the project’s public documentation and published outputs. Read the README and explore the code ↗ (opens in a new tab)