| id |
acadia22_498 |
| authors |
Marengo, Mathilde; Neri, Iacopo |
| year |
2022 |
| title |
Computer-aided Ecological Connectivity |
| source |
ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 498-505. |
| summary |
The body of work that follows discusses an experimental computer-aided methodology for design and planning processes that detects and amplifies potential and beneficial connections between urban parks and metropolitan forest patches, using as media roads and streets and their existing vegetation. Technically, it introduces a computational protocol to gather and process georeferenced data necessary to run through CircuitScape a set of structural connectivity analyses in urban contexts. In order to overcome the barrier of local data accessibility, the methodology exploits Google Earth Engine to cross-read OpenStreetMap data with local NDVI imagery, allowing to calibrate the connectivity analysis on current ecological performances. The outputs of the analyses highlight key road segments where vegetation should be reinforced, and therefore, identify specific areas or streets of interest for intervention. |
| series |
ACADIA |
| type |
paper |
| email |
|
| full text |
 file.pdf (5,447,457 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/02/06 14:04 |
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