Jean-Philippe Antoni
Biographic Data
| ID | 9441004 |
|---|---|
| NAME | Jean-Philippe Antoni |
| GIVEN NAMES | Jean-Philippe |
| FAMILY NAME | Antoni |
| SIGNATURE | ANTONI J |
| AFFILIATIONS | Centre National de la Recherche Scientifique |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From representation to foresight? How 3D urban simulations and deep learning are reshaping theoretical and quantitative geography
The advent of high-resolution 3D urban simulations and transformative deep learning (DL) architectures is precipitating a paradigm shift in theoretical and quantitative geography (TQG). The field lacks a comprehensive synthesis examining how these tools are reconfiguring spatial reasoning, predictive modeling, and the theory–practice interface of geography. This paper addresses this gap by articulating a conceptual and empirical investigation int…
Granular and spatially differentiated density thresholds for No Net Land Take
The "No Net Land Take" (NNLT) objective – halting land artificialization by 2050 – poses a fundamental planning challenge: how to accommodate housing demand without new land take. This paper addresses two issues. First: by demonstrating that achieving Net No Land Take (NNLT) requires moving beyond uniform average density targets toward spatially differentiated density thresholds adapted to local urban contexts. Second: by establishing that spatia…
Determining the proportions of the ecovillage based on the resident's preferences in relation to the geographical location in France
Combining indicators for decision making in planning issues
No prominent works on this page.
Combining indicators for decision making in planning issues
Determining the proportions of the ecovillage based on the resident's preferences in relation to the geographical location in France
From representation to foresight? How 3D urban simulations and deep learning are reshaping theoretical and quantitative geography
The advent of high-resolution 3D urban simulations and transformative deep learning (DL) architectures is precipitating a paradigm shift in theoretical and quantitative geography (TQG). The field lacks a comprehensive synthesis examining how these tools are reconfiguring spatial reasoning, predictive modeling, and the theory–practice interface of geography. This paper addresses this gap by articulating a conceptual and empirical investigation int…
Granular and spatially differentiated density thresholds for No Net Land Take
The "No Net Land Take" (NNLT) objective – halting land artificialization by 2050 – poses a fundamental planning challenge: how to accommodate housing demand without new land take. This paper addresses two issues. First: by demonstrating that achieving Net No Land Take (NNLT) requires moving beyond uniform average density targets toward spatially differentiated density thresholds adapted to local urban contexts. Second: by establishing that spatia…
Land Use and Ecosystem Services (3 works) · Computer Science (2 works) · Data mining (2 works) · Engineering (2 works) · Geography (2 works) · Sustainability (2 works) · 3D Modeling in Geospatial Applications (1 work) · Actor–network theory (1 work) · Cartography (1 work) · Cellular automaton (1 work)