Visualization in spatial modeling

This chapter deals with issues arising from a central theme in contemporary computer modeling - visualization. We first tie visualization to varieties of modeling along the continuum from iconic to symbolic and then focus on the notion that our models are so intrinsically complex that there are many different types of visualization that might be developed in their understanding and implementation. This focuses the debate on the very way of 'doing science' in that patterns and processes of any complexity can be better understood through visualizing the data, the simulations, and the outcomes that such models generate. As we have grown more sensitive to the problem of complexity in all systems, we are more aware that the twin goals of parsimony and verifiability which have dominated scientific theory since the 'Enlightenment' are up for grabs: good theories and models must 'look right' despite what our statistics and causal logics tell us. Visualization is the cutting edge of this new way of thinking about science but its styles vary enormously with context. Here we define three varieties: visualization of complicated systems to make things simple or at least explicable, which is the role of pedagogy; visualization to explore unanticipated outcomes and to refine processes that interact in unanticipated ways; and visualization to enable end users with no prior understanding of the science but a deep understanding of the problem to engage in using models for prediction, prescription, and control. We illustrate these themes with a model of an agricultural market which is the basis of modern urban economics - the von Thünen model of land rent and density; a model of urban development based on interacting spatial and temporal processes of land development - the DUEM model; and a pedestrian model of human movement at the fine scale where control of such movements to meet standards of public safety is intrinsically part of the model about which the controllers know intimately. © Springer-Verlag Berlin Heidelberg 2006

Introducing Preservice STEM Teachers to Computer Science: A Narrative of Theoretically Oriented Design

This paper narrates the process of designing a curricular unit that serves to introduce preservice science, technology, engineering, and mathematics (STEM) teachers to computer science (CS) education. Unlike most literature that focuses on results and findings, this paper explains how a justice-centered approach to CS education informed decisions about the theoretical underpinnings of curricular design choices. Situated in issues related to the gentrification of Austin, Texas, the described curricular unit explores how the increased use of CS and growth of the technology sector are having a direct impact on the historically marginalized residents of East Austin. Connected by a theme that maps are both a form of data visualization and political artifact, the described curricular unit uses CS as a tool to: critique the macro-ethics of politics and society; provide a CS learning environment that can be responsive to the multiple social identities of students; and connect CS to larger struggles for justice and liberation.Educatio

Visualizing urban development: improved planning & communication with 3D interactive visualizations

Master of Landscape ArchitectureDepartment of Landscape Architecture/Regional and Community PlanningBrent Chamberlain3D interactive visualizations can communicate complex urban design ideas to communities to improve planning (Bertol & Foell, 1997; Bishop et al., 2008; Griffon et al., 2011; Lange & Bishop, 2005). Unfortunately, many landscape architects, urban designers, and city planners currently re-frame from using such gaming technology capable of creating 3D interactive visualizations (Deane, 2015a). Many firms use verbal descriptions with images. This method is insufficient for facilitating feedback (Bratteteig & Wagner, 2010; Gordon, et al, 2010; Stakeholder Engagement, 2009; Zhang, 2004). According to Lange and Bishop (2005) there is no reason why real-time visualizations should not be used in urban design. Design fields will be moving toward procedural modeling software that is code-based to quickly model urban development (Flachbart & Weibel, 2005). However, this type of software, i.e., ESRI CityEngine, is only being used by approximately 10% of firms (Deane, 2015a). This paper is one of the first to analyze how ESRI CityEngine can be used and improved to support the workflow of landscape architects, urban designers, and planners for urban development projects. The project explored ESRI CityEngine’s procedural modeling and metric capabilities, and how it could be used to visualize a proposed Urban Core Residential District in Manhattan, Kansas. This process involved applying CGA (computer generated architecture) rules to GIS data, to model trees, streetscapes, landscapes, and buildings. Visuals that were produced include a CityEngine Web Scene and a Unity game

Assessing the Utility of Procedural Modeling for the Urban Planning Discipline: CityEngine and Missing Middle Housing

In recent years, procedural modeling techniques have been introduced to the urban planning discipline. By enabling the quick generation of design alternatives, these methods have the potential to expedite the public participation process. In this study, we explore ArcGIS CityEngine, an Esri procedural modeling software, and its application for depicting new missing middle housing developments in San Luis Obispo, California. Missing middle housing is an abstract planning concept and the public may benefit from 3D visualizations of the typology contextualized within their own neighborhood. To this end, we procedurally model two existing missing middle developments in San Luis Obispo and transfer them to three alternative contexts. Our team consists of two planning students with no programming background, granting us a relevant perspective on the experience for planning professionals. Through this exercise, we determined that procedural modeling can accelerate the design process when applied to a fitting scenario after the initial training period is complete

A computer-assisted motivational social network intervention to reduce alcohol, drug and HIV risk behaviors among Housing First residents.

BackgroundIndividuals transitioning from homelessness to housing face challenges to reducing alcohol, drug and HIV risk behaviors. To aid in this transition, this study developed and will test a computer-assisted intervention that delivers personalized social network feedback by an intervention facilitator trained in motivational interviewing (MI). The intervention goal is to enhance motivation to reduce high risk alcohol and other drug (AOD) use and reduce HIV risk behaviors.Methods/designIn this Stage 1b pilot trial, 60 individuals that are transitioning from homelessness to housing will be randomly assigned to the intervention or control condition. The intervention condition consists of four biweekly social network sessions conducted using MI. AOD use and HIV risk behaviors will be monitored prior to and immediately following the intervention and compared to control participants' behaviors to explore whether the intervention was associated with any systematic changes in AOD use or HIV risk behaviors.DiscussionSocial network health interventions are an innovative approach for reducing future AOD use and HIV risk problems, but little is known about their feasibility, acceptability, and efficacy. The current study develops and pilot-tests a computer-assisted intervention that incorporates social network visualizations and MI techniques to reduce high risk AOD use and HIV behaviors among the formerly homeless. CLINICALTRIALS.Gov identifierNCT02140359

Audio Cartography: Visual Encoding of Acoustic Parameters

Our sonic environment is the matter of subject in multiple domains which developed individual means of its description. As a result, it lacks an established visual language through which knowledge can be connected and insights shared. We provide a visual communication framework for the systematic and coherent documentation of sound in large-scale environments. This consists of visual encodings and mappings of acoustic parameters into distinct graphic variables that present plausible solutions for the visualization of sound. These candidate encodings are assembled into an application-independent, multifunctional, and extensible design guide. We apply the guidelines and show example maps that acts as a basis for the exploration of audio cartography