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01_Project Specs

Location

Jerusalem

Year

2026

Category

Technical

Recognition

First-place graduate thesis prize; manuscript in preparation

RepositoryView Source

Restoring the Jewish Temple: A Spatial Study

BIM/GIS Integration & Historical Reconstruction

Problem

Historical reconstruction required aligning uncertain archaeological evidence with architectural precision.

Method

Combined BIM modeling, GIS control data, Monte Carlo testing, and iterative drawing studies.

Output

A documented spatial model, analytical diagrams, and a navigable image archive.

Tools

Revit, PyRevit, QGIS, PyQGIS, Python, TwinMotion

Overall spatial reconstruction of the Temple Precinct.
RENDER // FIG.01

Overall spatial reconstruction of the Temple Precinct.

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Selected Plates26 drawings / renders
Project Narrative

A spatial study that treats one of the most contested reconstruction questions in architecture as a testable geospatial problem. Rather than beginning from inherited placement traditions, the project translated textual, archaeological, and architectural evidence into measurable constraints and asked a narrow question: do the spatial relationships on the existing platform converge in a statistically meaningful way when tested against uncertainty? The output is a bounded candidate zone — not a location proof. The analysis supports the plausibility that the Foundation Stone belongs to a wall of the Herodian temple courtyard rather than the sanctuary itself, placing the reconstructed Temple on the east–west axis of the Golden Gate, approximately 80–100 meters east of the Dome of the Rock. The resulting proposal preserves all existing structures on the platform and frames the precinct as shared sacred space.

Design Analysis

All geometry was consolidated into EPSG:32636 (WGS 84 / UTM Zone 36N) within QGIS and PyQGIS. A five-stage workflow moved through data preparation, observed-model construction, Monte Carlo uncertainty modeling, null-orientation comparison, and leave-one-out sensitivity testing. Dual-environment validation — primary construction in QGIS, independent blind retest in a Python repository — reduced the risk of results being artifacts of the GIS session. The observed constraints converged more tightly than randomized orientation models, defining the candidate zone against uncertainty. The architectural translation follows a Haggai-era register — a modest restoration under constrained circumstances rather than a maximal Herodian reconstruction — expressed through parametric cubit-based overlays, footprint and altar-offset studies, and processional axis diagrams anchored to the eastern gate alignment.

02_Technical Specs

Software

Revit, PyRevit, QGIS, PyQGIS, Python, TwinMotion

Focus

Historical Restoration, BIM/GIS Integration

Scale

Site-wide analysis

03_Axial Logic & Orientation

"The precinct organization is derived from a strict axial system that aligns the archaeological remains with topological signatures."

Click to Expand_System

ISO_01 // TECTONIC_REASONING

04_Research Connection

This project is part of a broader investigation into computational heritage documentation. Refer to the Research Archive for technical methodology.

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