/Colonisation Mechanism : studioentropia

/ Colonisation Mechanism

Colonization Mechanism is a decision-making and planning-support tool for the transition of former lignite mining areas to urban agroecosystems. The strategy actively connects local communities – the socioeconomic environment, its actors and processes – with the physical environment – its developmental patterns and life cycles. Modeling them into an ecosystemic continuum generates more resilient, dynamic, and adaptive urban agroecosystems from planning to management to construction.

________________________________________

#mechanisms

01.GENERAL SCHEMA

The mechanism processes information and reorganises its structure to adapt to the landscape’s transition and rehabilitation, through a 3-phase algorithmic process. In the first one, the selection phase, the algorithm selects the number and type of crops aiming at the area’s economic sustainability. Moving into the allocation phase, the algorithm maps the optimal positioning of each crop by correlating their suitability maps with available natural resources thus pointing to the ecosystem’s environmental sustainability. In the third and final schematization phase, the algorithm precisely defines each crop’s boundaries in relation to all other while at the same time exploring the full range of their possible future formations.

______________________________________________________

what

COLONIZATION MECHANISM

PANHELLENIC COMPETITION

______________________________________________________

how big

6.5×5.5 Km

______________________________________________________

why

MATERIALIZE AFFORDANCES

______________________________________________________

where

AMYNTAIO, KOZANH

WEST MACEDONIA

______________________________________________________

process

01.GENERAL SCHEMA

02.ALLOCATION PROCESS

03.SCHEMATISATION PROCESS

04.OPEN-SPACE FRAMEWORK

______________________________________________________

#fields >

______________________________________________________

#affordances >

______________________________________________________

#mechanisms >

mapping visualisation | 2019

3-PHASE ALGORITHMIC PROCESS

mapping visualisation | 2019

COLONISATION MECHANISM | OPEN SPACE FRAMEWORK

________________________________________

#fields

02.PRODUCTIVE DYNAMICS

Colonization Mechanisms innovation lies in monitoring, visualizing and utilizing the environment’s productive dynamics, pointing both to the local communities (biotic) and the physical environment (abiotic). By simulating environmental, economic and social dynamics in real-time, the mechanism algorithmically generates the optimal spatial and material organizations of urban agroecosystems. It is a multi-parameter, computer-based model to be used as dynamic decision-making and planning-support tool, with the capacity to straddle the complexities of urban agroecosystems, in a short time and in a “self-conscious design process. It can be simultaneously applied across different areas and scales while at the same time actively connecting its multiple agents and their perspectives.

INITIAL GROUND

mapping visualisation | 2019

NEW GROUND | SECTIONS

mapping visualisation | 2019

GROUNDS’ SUPERPOSITION | SECTIONS

mapping visualisation | 2019

GROUNDS’ SUPERPOSITION PROCESS

mapping visualisation | 2019

GROUND DIFFERENTIAL FIELD

mapping visualisation | 2019

SURFACE WATER ANALYSIS

mapping visualisation | 2019

SURFACE WATER DIFFERENTIAL FIELD

mapping visualisation | 2019

INCLINATION DIFFERENTIAL FIELD

mapping visualisation | 2019

VIRTUAL MAP

________________________________________

#affordances

03.SELECTION / ALLOCATION / SCHEMATISATION PROCESS

Throughout its life-cycle, the dynamic cropping system processes information regarding the physical environment (edaphic and climatic data) and local communities (population and economic dynamics) and re-organises its structure to adapt to the transition and rehabilitation of the landscape. Identifying the optimal potential positions of individual crops regarding available natural resources (surface water analytics, inclination, soil management, climate), the scheme increases its environmental resilience. By integrating both local and broader economic dynamics (each crop’s minimum annual income, number of land-owners, needs in the food industry and public/private funding potentials) the algorithm sets the frame for the area’s economic self-sustainability.