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Monaco Research Observatory
A space for organising, consulting and interpreting the empirical data generated by the Nice Monaco project.
About the Data Observatory
From observation to structured data
The Monaco Data Observatory brings together and organises the data produced through fieldwork, spatial observation, visual documentation and the coding processes developed within Nice Monaco.
Its objective is to make the project’s empirical basis visible and facilitate the connection between evidence, coding, results and scientific publications.
Data are presented in aggregated, descriptive or methodologically contextualised form. Complete materials, codebooks and replication files may be linked to external repositories where appropriate.
Core Datasets
Main datasets
The Data Observatory integrates different layers of information derived from the project’s research models and protocols.
Visibility & Accessibility
VAM Dataset
Data coded using the Visibility–Accessibility Matrix, designed to analyse how visibility and accessibility are related across different spaces in Monaco.
Includes: dimensions V1–V5, A1–A5, observation units, case profiles and spatial distribution.
Soft Exclusion
SECP Dataset
A set of observations coded using Soft Exclusion Core Patterns, designed to identify discreet mechanisms of filtering, regulation and spatial exclusion.
Includes: observed patterns, observation opportunities, relative frequency and location.
Observation Opportunities
Opportunity-Based Data
Data distinguishing between the presence of evidence and the actual opportunity for a particular pattern to have been observed.
Includes: observable opportunities, recorded occurrences and normalised rates.
Fieldwork Metadata
Fieldwork Dataset
Metadata associated with photographs, videos, routes and observation points used in the research.
Includes: location, year, evidence type, capture point, time period and field notes.
Indicators & Results
Indicators and descriptive results
The Data Observatory presents aggregated and descriptive results designed to facilitate comparison between spaces, dimensions and observation patterns.
Visibility Profiles
Distribution of observed levels and dimensions of visibility.
Accessibility Profiles
Comparison of degrees of access, approach, circulation and permanence.
SECP Frequencies
Frequencies and normalised rates of soft exclusion patterns.
Spatial Distribution
Territorial distribution of cases, patterns and indicators.
Study Areas
Data by observation area
VAM cases, SECP patterns and spatial observations.
Data on accessibility, commercial luxury and spatial control.
Observations on mobility, yachts, boundaries and access.
Data on spatial hierarchy, visibility and access control.
Comparative and contextual observations.
Data Principles
How the data are presented
Data published within the Monaco Data Observatory are presented according to principles of traceability, methodological clarity and distinction between original evidence, coding, indicator and interpretation.
Wherever possible, each result may be connected to its analytical model, coding methodology and corresponding empirical evidence.
Publication of complete materials will depend on methodological, ethical and information-protection criteria.
Open Data & Reproducibility
Open data and methodological documentation
The Monaco Data Observatory functions as the public interface for the results. Complete datasets, codebooks, working versions and replication documentation may be deposited in open-science repositories such as OSF.
Data & Analysis
From data to model
The data presented in this Observatory are interpreted within the frameworks and models developed by the Monte Carlo Research Lab.
Nice Monaco
Structured evidence for the study of luxury space
The Monaco Data Observatory connects observation, coding, comparison and results within a cumulative and verifiable research infrastructure.
