TABVLAARCHAEOLOGICAL INTELLIGENCE

Reading the landscape, together

Historical sources.
Modern terrain data.
Better archaeological leads.

Tabula brings historical literature, old maps and LiDAR terrain data into one investigation workflow. We’re building it to connect evidence across sources, identify landscape features worth examining, and make the reasoning behind each lead easier to inspect.

Three overlapping, invented sheets connect an archival field map, terrain contours and source notes with a dotted gold line.
One landscape, several kinds of evidence. Conceptual illustration using invented patterns—not a real site, map extract or research result.

The project

The past leaves more
than one kind of trace.

A passage in an old book. A boundary on a map. A subtle change in the ground. Tabula brings these sources into the same research workspace.

01 / DOCUMENTARY

Historical literature

Published accounts and historical place names provide context. Captured observations retain their source references so researchers can examine what was actually reported.

02 / CARTOGRAPHIC

Archival maps

Earlier maps help researchers compare the landscape over time, examine recorded features and consider whether later activity could explain what survives.

03 / PHYSICAL

Terrain data

LiDAR-derived terrain and imagery help identify landscape features worth a closer look. A shape can suggest a question; it cannot establish a date or origin.

The method

From scattered traces
to a better question.

Our starting region is eastern Belgium. The aim is a small, defensible set of places worth investigating, with the reasoning open to inspection.

  1. Compare the sources

    Bring captured observations and their references together. Shared or copied sources should not become separate votes.

  2. Examine the landscape

    Compare physical features with maps, nearby records and geographic context. Consider natural and later explanations as well as archaeological ones.

  3. Keep the whole argument

    Record support, conflicting evidence and what remains unknown. Prioritize leads for further research without presenting a ranking as a calibrated discovery probability.

Human review

The reasoning should
be inspectable.

Researchers can open captured observations, inspect the evidence behind a lead and record sourced interpretations. Assessments can be revised as evidence changes. Field observations and appropriate expert assessment are essential to deciding what a feature actually is. Tabula does not present unverified leads as confirmed discoveries.

The people

Built through
a shared curiosity.

Luis Wester & Jakob

Luis is building Tabula with his brother, Jakob. The project brings their interest in history and landscapes into a practical tool for connecting sources and documenting an investigation.

More about Luis

Work in progress

A project being built
and put to the test.

We distinguish what the tool can do from what the archaeology has established.

Project introduction

Available The protected workspace brings captured sources, map layers, terrain observations and inspectable site arguments together.

Available Source-reading jobs combine captured literature, historical maps and terrain into cited draft arguments, with explicit coverage gaps and a critical review against the original evidence.

In development Broader source coverage and evaluation against reviewed field outcomes.

We are not claiming confirmed discoveries or validated discovery probabilities. Public demonstrations and further updates will be linked here when available.

Continue the investigation.

The research workspace is available to authorized project participants.

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