USIALE 2017

3D Visualization of Landscape Change Scenarios with Real-time Tangible Interaction


Payam Tabrizian, Anna Petrasova, Vaclav Petras, Helena Mitasova
and Ross K. Meentemeyer







Tangible Interaction
Realtime 3D rendering and immersion

Scale

     In-situ view of inundated area                                        Surface inundation and flow model

Interdiciplinary collaboration

Source: Pinsdaddy.com

Participation

Source: NC State design

Aesthetics and preferences

Landscape rendering produced by Tangible landscape

How it works ?

  • Real-time updating a georeferenced 3D model of the landscape based on user interaction with Tangible Landscape
  • Updating the attributes (shape, position) of 3D objects (e.g., plants) and surfaces (e.g., terrain) with their corresponding tangible objects
  • Enabling user to control the viewpoints (camera position) and animation (e.g., walkthrough, flythrough)
    surface points lines areas areas

Hardware setup

Blender

  • 3D modeling, rendering, animation, physics, and game engine
  • Free and open source, easy scripting in Python
  • GIS and VR plugins
  • Real-time raytraced rendering

Software Architecture

Landform and water

Patches

Linear features

Cameras

Immersion

Landscape Design scenarios

Dorothea Dix site

Changing landform and hydrology

Exploring views from the park site entrances

Planting trees and siting the shelter

Designing the trail and exploring views

Evaluation of design scenarios

Urban growth scenarios with FUTURES







Meentemeyer, et al. (2013), FUTURES: multilevel simulations of emerging urban–rural landscape structure using a stochastic patch-growing algorithm.

Simulation of urban growth scenarios with FUTURES model



Meentemeyer, et al. (2013), FUTURES: multilevel simulations of emerging urban–rural landscape structure using a stochastic patch-growing algorithm.

Rendering of the FUTURES simulation

Night-time rendering of the FUTURES simulation

Road map

User defined or simulated layout and typology

Source: a-project

Road map

Level of Detail management (LOD)

Source: Biljecki et al.(2016)

Road map

Enhanced textures

Rendering of large portions of New york made in Blender using open street map data Source: Biljecki et al.(2016)

Open source

Tangible Landscape plugin for GRASS GIS
github.com/tangible-landscape/grass-tangible-landscape

Tangible Landscape plugin for Blender
github.com/tangible-landscape/tangible-landscape-immersive-extension

GRASS GIS module for importing data from Kinect v2
github.com/tangible-landscape/r.in.kinect

Tangible Landscape repository on Open Science Framework
osf.io/w8nr6

Resources