modeling in coexistence with data: toward a generic notion of space
TRANSCRIPT
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Vahid Moosavi
Modeling in Coexistence with DataToward a Generic Notion of Space
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First PartModeling in Coexistence with Data, (the conceptual story line of this talk)
Second PartToward a Generic Notion of Space ( three applications around the notion of space)
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The Classical Modeling Process and the Role of Data(A set theoretical notion of a model)
Abstract(Universals(
Data$
Modeling$Process$ Final$Model$(Ideals )
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Abstract Universals and Rational Modeling
Here, “Circle-ness” as an Ideal form is assumed.Then, each observation is a “circle”.Or each observation is a “circle” with specific “radius”.
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Rational Modeling and Modern Analysis based on the
Idealized dictionariesO
bser
ved
Mod
elFourier Decomposition
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Urban Modeling and Idealization
Space SyntaxAgent Based Modeling
System Dynamics
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This approach of modeling reaches to a theoretical limit in complex systems...
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The Secondary role of the data in the classical modeling and simulation:•First we establish a dictionary and a grammar of the real phenomena based on a set of ideal conditions.•Then we tune the model with the
Abstract(Universals(
Data$
Modeling$Process$ Final$Model$
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What if instead of given
dictionaries and ideals, we learn
them in a Coexistence
withUrban Data Streams?
An Alternative Approach
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We need a conceptual inversion in the role of data in the modeling process
Concrete(Universals(
Unstructured*Data* Modeling*Process* Final*Model*
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Modeling in Co-existence with DataBeyond the notion of error and the ideal form
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Second part: Toward a generic notion of space
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Given Dictionary of Forms
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Learned Dictionary of Forms
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Self Organizing Map (SOM)
(As a Generic Space, where closer items are more similar to each other)
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CAAD 2010Benjamin Dillenburger
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The interplay between two different spaces
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The interplay between two different spaces
Ludger Hovestadt, Vahid Moosavi, Mathias Standfest 2012
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First Application
Urban Air Pollution Modeling
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Urban Air Pollution Modeling
Vahid Moosavi, Gideon Aschwanden, Erik Velasco 2014
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Urban Air Pollution Modeling
Vahid Moosavi, Gideon Aschwanden, Erik Velasco 2014
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Urban Information +
few measurements
Urban Air Pollution Modeling
Learning a dictionaryA new space based on similarity of urban parameters
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Urban Air Pollution Modeling
Learning a dictionary Estimating the air pollution level with different confidence levels with only 3% direct measurement
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Urban Air Pollution Modeling
Locating the monitoring stations
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Second Application
Modeling the Dynamics of Real Estate Market
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Modeling the Dynamics of Real Estate Market
First Law of Geography (FLG)Waldo Tobler :"Everything is related to everything else, but near things are more related than distant things”
Basics of Spa7al Modeling
Q: But near in which space and based on which similarity and relatedness?
Idea: Is there a way to reach to a generic notion of space which is based on any
similarity of interest?
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Modeling the Dynamics of Real Estate Market
Monthly Median Price per sq.ft of sold houses of each Zip code in the state of
Florida
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Modeling the Dynamics of Real Estate Market
The topology of this dynamic
It seems there should be some patterns
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Modeling the Dynamics of Real Estate Market
But not necessarily a spatial pattern
How about the FLG?
It is like a jigsaw puzzle
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From 2002
To 2015But not just one, several
puzzles at once
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Modeling the Dynamics of Real Estate Market
SOM$
Learning a temporal dictionary
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Modeling the Dynamics of Real Estate Market
From a spatial image of the marketwith random pixels
To another image of market that follows FLG?
SOM$
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Modeling the Dynamics of Real Estate Market
An Image of the market
Median price of a all the zip codes in Florida from 2002-2015
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Modeling the Dynamics of Real Estate MarketTwo notions of space
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Modeling the Dynamics of Real Estate MarketPredicting 6 months ahead priceUsing the same prediction methodOnly different neighbors
Most of the times, we get better results with looking to the new space!
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Modeling the Dynamics of Real Estate Market
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Two notions of space
Geo Space
SOM Space
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Modeling the Dynamics of Real Estate MarketSpatial Distribution of Error
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Third Application
Contextual MappingOr how to be able to create personalized images of the space?
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Cities are complex and multi-facetedHow to look at a city with huge amount of digital data?
Is it possible that instead of a top-down map, we provide a simple mapping process?
“Toward personalized images of space”
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Age + Health
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Method: Learn a one dimensional dictionary and take its elements as an ordered set of numbers.
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Age + Health
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Levels of Education + Health
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Distance travel to work
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Crime Categories
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Contextual MappingRacial Mixture in New York City?
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Contextual MappingRedistricting and the will of the people
How polarized is Colorado in different elections?Is there any bottom up approach to define the electoral borders?
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thank YOU
•Abstraction dis-solves the current problem and transcends to a new world with new kind of challenges.
•Generalization opens up or keeps the discussions in the same world that the problem exists.