mappings - xiaowei r. wang

7/30/2019 Mappings - Xiaowei R. Wang

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MastersThesis:TheNomad,TheTechnologist.A21stCenturySteppeFable

HarvardGSDMastersinLandscape

Architecture2013,Advisor:PierreBlan

ger


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The Proposal: 133 Nomadic Free Trade Zones

across the Mongolian Steppe

Mappings for 133 sites + automated zoning diagrams made using Processing

Processing sketches available online at http://xiaoweiwang.com/steppeurbanism


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OverallGeographicalC

ontextandadjacenciesforFreeTradeZones


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RegionalContext


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Indexical Model showing abstraction of DEM + additional layering in preparation modeling stochastic movement through a compiled suitmodel. If the old model for urban planning (an industrial based one) was points/lines as function of cost and suitability boundaries, vivid for an advanced capitalism use a Markov chain for calculating probability and eventual steady state.Grasshopper scripts + Processing code available on xiaoweiwang.com/steppeurbanism


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Sensor valuesA 36.639582848474B 222.80287495945C 578.88868710906D 59.215234117217




This layered model shows the topography of site 35 (Sayan Ovoo), its hardware (logistics corridor), but most importantly serves as a studfor real time data of soil moisture to live update the Rhino model. As sensor points increased or decreased in moisture levels, it changedtlement grid in Rhino, either decreasing or increasing in density based on subdivision rules established through precendent study of nomcamp sites. A second level of processing occurred after the distorted grid was gathered in order to make this approach abide by the overof the stochastic matrix/nomadic capitalist index.Scripts available on xiaoweiwang.com/steppeurbanism, use of Grasshopper, Arduino + Firefly components


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WilletsPointFlushingB

ayStudioproject

HarvardGSD,StudioCritic:MihoMa

zereeuw


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MassachussettsMilitaryReservation

HarvardGSDStudio

Fiber Optic Networks linking US Research Bases,Budget and funding for military research in the US DOD


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A


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Through the playful act of kite flying FLOAT_Beijing has empowered hundreds

of citizens to take action and protest current air quality standards, leading topeople-driven improved policies for healthier lives. FLOAT is a tool to collectair quality data and circumvent state controlled channels of information. Atcommunity workshops participants learn about the health hazards of air pol-lutants and their detection through DIY sensors, which they learn to build andattach to kites. FLOAT modules are designed to be transparent and reconfig-ured by users. Residents challenge the invisibility of official data by flying theirair quality sensing kites in highly visible public spaces. Kites have a strong cul-tural history in China which draws in diverse participants connecting them tonew technologies. Participants are empowered by the ability to sense air qual-

ity. More importantly, through FLOAT_Beijing, citizens become active agents inmonitoring, and eventually transforming their own environments.

For more visualizations and images please head to: f-l-o-a-t.comFor video documentary see: chinafile.com/stars-haze

FLOATBeijing

AirqualitymappingusingkitesinBe

ijing

(


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Beijing air quality levels, sources of anomalies (g[ghowl], processing, GIS)

Calculated average air currents over Beijing from select weather stationsshowing topographic correlations (gis + processing)

mappings - xiaowei r. wang

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